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The CRM shows recent activity. There’s an open opportunity in the pipeline. Notes from the last call look positive.

What the rep doesn’t see:

• Order volume has declined for three consecutive quarters
• SKU-level purchasing patterns have shifted – the high-margin product lines are quietly dropping off
• Invoices are being paid later than normal
• Inventory on key product lines is tight, and operations already knows it
• A renewal window is approaching with no retention plan in place

That information exists. It’s already in your ERP. It simply hasn’t reached the people responsible for managing the customer relationship.

This is one of the biggest visibility challenges manufacturing sales teams are facing today. Manufacturers are surrounded by customer, operational, and financial data, but the information that matters most lives in systems their reps can’t see.

The result is predictable:

• Sales teams operate reactively instead of proactively.
• Forecasts become difficult to trust.
• Expansion opportunities are missed.
• Customer risks surface too late.

The problem usually isn’t a lack of data. It’s the inability to connect it.

The Hidden Cost of Disconnected Systems

Your CRM and ERP are both full of valuable information. But neither system tells the full customer story on its own.

When customer, financial, and operational data remain disconnected, manufacturers create blind spots that impact:

• Forecast accuracy
• Customer retention
• Cross-sell and upsell opportunities
• Sales productivity
• Inventory and fulfillment visibility

Industry research reinforces this challenge.

Sales reps spend only 28% of their working week actually selling. The rest goes to manual data pulls, CRM updates, and chasing information that should already be in front of them.

79% of sales organizations miss their forecast by more than 10%, in large part because financial and pipeline data live in separate systems that never talk to each other.

Disconnected systems don’t just create inefficiencies. They create revenue risks.

Why Visibility Gaps Are Becoming More Expensive

Manufacturing sales and finance teams are under increasing pressure to improve forecasting accuracy, strengthen customer retention, and drive growth without adding operational complexity.

At the same time, they are navigating:

• Supply chain volatility
• Greater demand for operational visibility
• Margin pressure
• Longer buying cycles
• Leaner teams
• Rising customer expectations

Organizations are investing heavily in AI, automation, and data-driven decision-making. Yet AI can only be as effective as the information it can access.

Disconnected systems create fragmented insights. Fragmented insights create reactive sales motions, inconsistent forecasting, and incomplete customer intelligence.

Manufacturers that connect ERP and CRM systems are gaining a competitive advantage. Not because they have more data. Because their teams can finally act on the data they already have.

What Your ERP Knows That Your Sales Team Often Doesn’t

Most manufacturers think of ERP systems (like Acumatica and Sage) as operational or financial platforms. But ERP systems are also holding some of the most valuable customer intelligence inside the business, including:

• Order velocity and purchasing frequency by account and SKU
• Account-level profitability and margin performance
• Inventory availability and fulfillment constraints
• Payment behavior and credit status
• Product adoption trends that reveal which product lines are growing, and which are declining
• Renewal dates and contract milestones
• Operational risk signals including backlog issues and supply chain disruptions

Together, this data provides a far more accurate view of account health than CRM activity alone. Yet for most manufacturing sales teams, that intelligence remains trapped inside finance or operations systems and invisible to the reps who need it before they get on a call.

A manufacturing sales rep may forecast growth within an account because customer conversations are positive, and opportunities remain active in the CRM. Meanwhile, the ERP may already show declining order activity across key product categories.

That operational context changes the sales conversation entirely.

What Disconnected Systems Look Like Inside Manufacturing Organizations

The effects of disconnected ERP and CRM systems rarely show up as one dramatic failure.

More often, they appear as constant operational friction throughout the customer lifecycle.

• Forecasts Don’t Match Reality. Sales may predict growth while operations see slowing order volume and declining product movement. Finance questions the numbers because the ERP tells a different story than the CRM.

• Reps Lack Operational Visibility. Customers ask about inventory, fulfillment timelines, or expansion opportunities, but reps still have to “check with operations” because the information lives somewhere else.

• Expansion Opportunities Stay Hidden. The ERP often reveals cross-sell opportunities through purchasing trends, product gaps, or buying patterns, but sales teams rarely have easy access to that visibility.

• Customer Retention Becomes Reactive. By the time organizations realize an account is at risk, warning signs like declining orders, delayed payments, or service issues have often existed for months inside the ERP.

How Connected Data Improves Revenue Performance

Organizations that integrate CRM and ERP systems (i.e., Acumatica or Sage data flowing directly into SugarAI) create a unified customer view across sales, finance, operations, and customer service. That changes how manufacturing teams engage customers.

• Customer Conversations Become More Strategic. Reps enter customer conversations with visibility into purchasing trends, inventory availability, operational risks, and account profitability. Not just CRM activity history.

• Cross-Sell Opportunities Become Easier to Identify. Connected systems can surface product purchasing gaps, expansion opportunities across divisions, facilities or product lines, and changes in buying behavior based on actual ERP data.

• At-risk Accounts Show Up Earlier. Declining order trends, delayed payments, or operational issues can trigger proactive outreach before dissatisfaction escalates.

• Forecasting Becomes More Reliable. Sales leaders gain visibility into operational and financial indicators instead of depending entirely on manually updated pipeline data.

The Bigger Opportunity

Manufacturers already have the customer intelligence they need to improve growth, retention, and forecasting. The challenge is making that information accessible to the teams responsible for driving customer relationships.

When CRM and ERP systems work together, manufacturers create a connected foundation for smarter decisions, stronger customer engagement, and more scalable growth.

The goal is not simply integrating technology. It is eliminating the blind spots that prevent teams from seeing the complete customer picture.

How Atlantic and SugarAI Make This Happen

SugarAI and Atlantic bring ERP intelligence directly into the workflows sales teams already use. Information from platforms such as Acumatica and Sage becomes accessible without having to leave the CRM environment. Atlantic’s integration approach connects these systems without fragile point-to-point connections that often become difficult to scale over time.

As a result, reps see order history, purchasing trends, credit flags, and account risks before they pick up the phone. Not because they ran another report, but because the information is already in their workflow.

See how Atlantic helps manufacturers connect ERP and SugarAI so sales teams can forecast more accurately, identify at-risk accounts, and uncover hidden revenue opportunities. Explore the solution.

How Much Visibility Is Your Sales Team Missing?

Manufacturers already have most of the customer intelligence they need. The challenge is making it visible to the people responsible for acting on it.

The cost of disconnected data is rarely obvious. It appears in missed forecasts, delayed opportunities, customer attrition, and reactive decision-making.

See What Your Sales Team Could Be Missing

Book a personalized demo to discover how Atlantic can help you connect your ERP and CRM data, automate sales workflows, and give your team the insights they need to close more business. Request your demo.

The post Why Your Reps Don’t Know What Your ERP Knows And How Manufacturers Can Remove the Blind Spots appeared first on Atlantic | Tomorrow's Office.

But behind that mission is a finance function under serious pressure.

Many CHCs are operating with thin margins, rising costs, unpredictable funding, and increasing compliance requirements. According to our Community Health Center Finance Software Buyer’s Guide, nearly half of CHCs had negative margins in 2023, while overall net margins reached just 1.6%, the lowest level since 2020. The guide also notes that most CHCs typically operate within average margins of only 1% to 3%, leaving little room for inefficiency or error.

For CFOs, Controllers, and VPs of Finance, that creates a difficult balancing act: protect the financial health of the organization while ensuring every dollar supports patient care.

That is why finance software modernization is no longer just an IT conversation. It is a leadership priority.

Why Legacy Finance Systems Create Risk for CHCs

Community Health Center finance software helps CHCs improve grant tracking, automate approvals, accelerate reporting, strengthen audit readiness, and gain real-time visibility across programs, sites, payers, and departments. For CFOs and finance leaders, modern finance software can reduce manual work while supporting better financial decisions in a high-pressure funding environment.

Many Community Health Centers have historically prioritized patient-facing investments over back-office technology. That is understandable. When resources are limited, direct care naturally comes first.

The problem is that outdated financial systems eventually become a direct obstacle to the mission.

Legacy accounting tools, disconnected spreadsheets, and manual workarounds make it harder for finance teams to move quickly, report accurately, and maintain strong controls. For CHCs, those issues are not just inconvenient. They can create real financial and compliance risk.

Common challenges include:

• Disconnected data between finance, EHR, billing, and payroll systems
• Manual grant tracking and reimbursement processes
• Slow month-end close cycles
• Weak audit trails and inconsistent approval documentation
• Limited visibility into cost-per-visit, payer performance, and budget performance
• Staff burnout caused by repetitive manual work
• Greater cybersecurity and data integrity concerns

Our Community Health Center Finance Software Buyer’s Guide notes that month-end close processes at CHCs can stretch from 10 to 30 days, delaying variance detection and limiting the ability to respond to emerging financial issues.

For a finance leader, that delay matters. If reporting is weeks behind, decisions are being made with stale information.

The Real Cost of Manual Finance Processes

Manual finance processes often feel manageable until they begin affecting strategic decisions.

A spreadsheet-based grant tracking process might work when an organization is smaller. A manual approval workflow might be tolerable when purchasing volume is low. A delayed close might feel normal because “that is how it has always been done.”

But as CHCs grow, add sites, expand programs, or face new compliance requirements, those manual processes become harder to defend.

They increase the likelihood of errors. They slow down reporting. They make audits more painful. They consume staff time that could be spent on forecasting, planning, or supporting department leaders.

For Controllers, this can mean too much time chasing approvals, reconciling numbers, and preparing documentation.

For CFOs and VPs of Finance, it can mean limited visibility into the organization’s financial position, making it harder to guide long-term strategy.

And for the organization as a whole, it can mean fewer resources available for the mission.

What Finance Leaders Should Look for in a Modern CHC Finance Solution

Selecting new finance software should not start with a product demo. It should start with the organization’s pain points.

Finance leaders should first map where current systems are creating friction, risk, or blind spots. That includes reporting, grant tracking, compliance, audit preparation, integrations, procurement, approvals, and budget visibility.

From there, CHCs should evaluate whether a potential finance solution can support the realities of nonprofit healthcare finance.

Key capabilities to look for include:

• Automated grant accounting and compliance workflows
• Multi-dimensional reporting by program, site, payer, grant, and department
• Real-time dashboards for executives and board reporting
• Integration with EHR, billing, payroll, and other operational systems
• Automated approvals with clear audit trails
• Cloud-based access and scalability for multi-site operations
• Scenario planning and budget-to-actual reporting
• AI and automation features that reduce manual burden
• Strong security and support from a provider with healthcare experience

The buyer’s guide specifically recommends that CHCs prioritize grant compliance automation, Section 330 management, dimensional reporting, audit readiness, policy-driven controls, and integration with EHR, billing, and payroll systems.

That is the right approach. CHCs should not only ask, “Can this system handle accounting?” They should ask, “Can this system support the way our organization is funded, regulated, and measured?”

What Is the Best Finance Software for Community Health Centers?

The best finance software for Community Health Centers is a cloud-based financial management platform that supports grant tracking, audit readiness, multi-entity or multi-site reporting, real-time dashboards, workflow automation, and integration with clinical, billing, and payroll systems.

For CHCs, the right platform should help finance teams move away from disconnected spreadsheets and manual processes. It should give CFOs, Controllers, and VPs of Finance better visibility into funding, spending, compliance, and organizational performance.

A modern system should also help answer questions like:

• Are we spending grant funds appropriately?
• Can we report by program, site, payer, and department?
• Are approvals documented and audit-ready?
• Can leadership see budget-to-actuals in real time?
• Can we close faster without overburdening the finance team?
• Are we tying financial decisions back to patient and community outcomes?

Those questions are not just accounting questions. They are leadership questions.

Why This Matters for CFOs and Finance Executives

The role of the CHC finance leader has changed.

Finance teams are no longer only responsible for reporting what happened last month. They are expected to help the organization understand what is happening now, what may happen next, and where resources should be directed.

That requires better data, faster reporting, and stronger systems.

Modern finance platforms can help CHCs shift from reactive financial management to proactive leadership. Instead of spending days gathering numbers from multiple systems, finance teams can focus on analysis. Instead of chasing approvals manually, they can rely on automated workflows. Instead of building board reports from scratch, they can use dashboards that connect financial performance to outcomes.

The guide highlights how the right Cloud ERP can help address CHC finance pain points through automation, real-time dashboards, integration, scalability, security, and support for HIPAA-conscious processes when paired with proper internal procedures.

What Better Financial Visibility Can Look Like

For CHCs, financial visibility is not just about having cleaner reports. It is about making better decisions under pressure.

Modern finance software can help leaders see performance across dimensions that matter, including:

• Grant
• Program
• Site
• Department
• Payer
• Provider
• Location
• Budget owner

That level of visibility helps finance leaders answer practical questions faster.

Which programs are under budget? Which grants require attention? Where are reimbursement delays affecting cash flow? Which sites are driving higher costs? Are budget owners making informed decisions before spending happens?

Without modern systems, those answers often require manual work. With the right platform, they can become part of everyday financial management.

How to Start the Finance Modernization Conversation

For many CHCs, the hardest part is knowing where to begin.

A practical first step is to assess where current systems are slowing the organization down. Finance leaders can start by asking:

• How long does month-end close take today?
• How much reporting still depends on spreadsheets?
• Can we track grant spending in real time?
• Are approvals routed and documented consistently?
• Can department leaders see their budgets before making spending decisions?
• How difficult is audit preparation?
• Do our systems integrate with EHR, billing, and payroll?
• Can we produce board-ready reporting without manual rework?

The answers will help clarify whether the organization has a software problem, a process problem, or both.

Most CHCs will find it is some combination of the two. That is why choosing the right finance platform and the right implementation partner matters.

Modern Finance Software Is a Mission Investment

Community Health Centers cannot afford inefficiency for the sake of tradition.

When margins are narrow, funding is complex, and compliance requirements are high, finance teams need systems that help them operate with confidence. Manual processes and disconnected tools may have worked in the past, but they are increasingly difficult to sustain.

For CFOs, Controllers, and VPs of Finance, modern finance software is not just a back-office upgrade. It is a way to protect funding, reduce risk, improve visibility, and help the organization make smarter decisions.

Most importantly, it helps ensure more time, energy, and resources can stay focused where they belong: on the community.

Ready to Evaluate Your CHC Finance Software?

If your Community Health Center is struggling with slow reporting, manual grant tracking, disconnected systems, or audit preparation challenges, now may be the right time to evaluate your finance technology.

Download the Community Health Center Finance Software Buyer’s Guide to learn what to look for in a modern finance platform and how to start building a stronger financial foundation for your organization.

Talk with one of our experts to discuss your current finance challenges and explore what modernization could look like for your team.

FAQs

What is Community Health Center finance software?
Community Health Center finance software is a financial management platform designed to help CHCs manage accounting, grant tracking, reporting, approvals, compliance, budgeting, and financial visibility across programs, sites, payers, and departments.

Why do Community Health Centers need modern finance software?
CHCs need modern finance software because thin margins, complex funding, rising costs, and increasing compliance demands make manual processes and disconnected spreadsheets risky. Modern platforms help improve reporting speed, audit readiness, grant tracking, and decision-making.

What should CFOs look for in CHC finance software?
CFOs should look for grant accounting, dimensional reporting, real-time dashboards, automated approvals, audit trails, integration with EHR/billing/payroll systems, cloud scalability, security, and support from a provider with nonprofit healthcare experience.

How can finance software help with grant tracking?
Modern finance software can help track funds by grant, program, site, payer, and department. This gives finance teams better visibility into restricted funding, spending activity, compliance requirements, and reporting needs.

How does finance software improve audit readiness?
Finance software improves audit readiness by centralizing documentation, automating approvals, creating consistent audit trails, and reducing reliance on manual spreadsheets or scattered evidence.

What are signs a CHC has outgrown its finance system?
Common signs include slow month-end close, manual grant reporting, disconnected EHR and billing data, spreadsheet-heavy reporting, weak approval trails, limited budget visibility, and difficulty producing board-ready reports.

The post Is Your Community Health Center’s Finance Software Holding Back the Mission? appeared first on Atlantic | Tomorrow's Office.

The CRM shows recent activity. There’s an open opportunity in the pipeline. Notes from the last call look positive.

What the rep doesn’t see:

• Orders have slowed for three consecutive quarters
• Invoices are being paid later than normal
• Support issues have increased
• Margin on the account is shrinking
• A renewal date is approaching with no retention plan in place

That information exists….it just lives somewhere else.

This is one of the biggest challenges facing revenue teams today. Organizations are surrounded by customer data, but the information that matters most is often fragmented across disconnected systems, departments, and reports.

The result?

Sales teams operate reactively instead of proactively. Forecasts become difficult to trust. Expansion opportunities are missed. Customer risks surface too late.

The problem usually isn’t a lack of data; it’s a lack of connected data.

Because the reality is simple: Your ERP knows more about your customers than your sales reps do.

The Hidden Cost of Disconnected Systems

Your CRM and ERP are both full of valuable information. But neither system tells the full customer story on its own.

When customer, financial, and operational data remain disconnected, organizations create blind spots that impact:

• Forecast accuracy
• Customer retention
• Cross-sell opportunities
• Sales productivity
• Customer experience
• Executive visibility

The operational impact is significant.

Sales reps spend large portions of their week on administrative work, manual research, and CRM updates instead of selling. Forecasts become unreliable because financial and pipeline data live in separate systems. Teams rely on spreadsheets and manual workarounds to bridge information gaps.

Disconnected systems don’t just create inefficiencies. They create revenue risks.

Why This Matters More Now

Sales and finance teams are under increasing pressure to do more with less while delivering better visibility, better forecasting, and better customer experiences.

At the same time, organizations are investing heavily in AI, automation, and data-driven decision-making. But AI cannot create meaningful outcomes from fragmented data.

Disconnected systems create fragmented insights. Fragmented insights create reactive sales motions, inconsistent forecasting, and incomplete customer intelligence.

Organizations that connect ERP and CRM systems are gaining a competitive advantage because they can transform operational and customer data into real-time visibility and action.

What Your ERP Knows That Your Sales Team Often Doesn’t

Most organizations think of ERP systems as operational or financial platforms.

But ERP systems often contain some of the most valuable customer intelligence inside the business, including:

• Purchasing trends
• Renewal timelines
• Product adoption patterns
• Customer profitability
• Inventory availability
• Delayed payments
• Service issues
• Expansion opportunities

This data provides a much more complete view of customer health than CRM activity alone. Yet in many organizations, that intelligence remains trapped inside finance or operations systems instead of being surfaced directly to sales teams.

How Connected Systems Improve Revenue Performance

Organizations that integrate CRM and ERP systems create a unified customer view across sales, finance, operations, and customer service. That changes how teams engage customers.

• Customer Conversations Become More Strategic – Reps can engage customers with real business context instead of relying solely on activity history.
• Cross-Sell Opportunities Become Easier to Identify – Connected systems can surface purchasing gaps and expansion signals based on actual customer behavior.
• Customer Retention Improves – Declining order trends, payment delays, or operational issues can trigger proactive outreach before dissatisfaction escalates.
• Forecasting Becomes More Reliable – Sales leaders gain visibility into operational and financial indicators instead of depending entirely on manually updated pipeline data.

The Bigger Opportunity

Organizations already have much of the customer intelligence they need to improve growth, retention, and forecasting.

The challenge is making that information accessible to the teams responsible for driving customer relationships.

When CRM and ERP systems work together, organizations create a connected foundation for smarter decisions, stronger customer engagement, and more scalable growth.

The goal is not simply integrating technology.

It is removing the blind spots that prevent teams from seeing the full customer picture.

How Much Visibility Is Your Sales Team Missing?

Start a conversation about the gaps between your ERP, CRM, and customer-facing teams and how connected customer data can improve forecasting, retention, and revenue visibility.

The post Why Your Reps Don’t Know What Your ERP Knows And How to Remove the Blind Spots appeared first on Atlantic | Tomorrow's Office.

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Whether you’re a growing company, a healthcare provider, or a manufacturer, the right IT solutions can streamline operations, safeguard sensitive data, and support sustainable growth. 

Demand for managed IT services continues to rise. With cloud adoption accelerating, cyber threats increasing, and regulatory requirements tightening, many organizations are overwhelmed by the complexity of their IT environments. Partnering with a trusted provider allows teams to focus on core business priorities while experts manage and optimize technology. 

However, not all IT providers are created equal. Some excel in responsiveness, while others bring stronger capabilities in strategic planning or cybersecurity. Choosing the right partner requires careful evaluation. 

IT services span a wide range of capabilities, from help desk support and routine maintenance to digital transformation and advanced cybersecurity. The right partner combines technical expertise, industry best practices, and a proactive approach to managing technology. 

In this article, we’ll break down what sets top IT partners apart, including key evaluation criteria, the pros and cons of outsourcing, and practical steps to help you select a provider aligned with your business goals today and as you scale.

Understanding IT Services: Fully Managed vs. Co-Managed 

Before evaluating providers, it’s important to clarify how IT services are delivered because most organizations aren’t choosing between “in-house vs. outsourced” anymore. They’re choosing the right mix of internal and external support. 

IT services is a broad category that includes everything from help desk support and network management to cybersecurity, cloud, and infrastructure. The real distinction comes down to how those services are delivered and who is responsible for what. 

Most models fall into two categories: 

1. Fully Managed IT Services

In a fully managed model, an external provider takes primary responsibility for your IT environment.

This typically includes:

• End-user support and help desk
• Infrastructure and network management
• Cybersecurity monitoring and response
• Patch management and system maintenance
• Vendor management and escalation

This model is best suited for organizations that:

• Have limited or no internal IT resources
• Want to fully offload day-to-day IT operations
• Need a partner to own both execution and strategy

The benefit is simplicity and accountability. One partner is responsible for keeping your environment secure, stable, and optimized.

2. Co-Managed IT Services 

In a co-managed model, your internal IT team works alongside an external partner.

Responsibilities are shared based on your team’s strengths and capacity. For example:

• Your team may own business applications or internal support  
• The partner may handle cybersecurity, monitoring, or after-hours support  
• Strategic planning may be collaborative  

This model is ideal for organizations that:

• Have an internal IT team but need additional capacity or expertise 
• Want to strengthen security or modernize infrastructure without replacing staff  
• Need support for specific initiatives like cloud, data, or automation  

The advantage is flexibility. You retain control where it matters while filling gaps with specialized expertise. 

Why This Distinction Matters

The goal isn’t just to “outsource IT.” It’s to build the right operating model for your business. 

Whether fully managed or co-managed, the right partner should:

• Extend your team, not replace it unnecessarily  
• Bring structure, consistency, and proactive management  
• Align IT, security, and data with your broader business goals  

Choosing the right model ensures you’re not just maintaining systems, you’re building a foundation that can scale with your business.

Why Businesses Should Consider Managed IT Services 

Organizations across industries are facing increasing pressure to modernize technology while maintaining security and compliance. 

Key drivers include: 

1. Rising cybersecurity threats 
   Ransomware, phishing, and data breaches continue to increase. IT partners provide proactive monitoring and rapid response capabilities. 
   
2. Growing compliance requirements 
   Industries like healthcare and finance must meet strict standards (e.g., HIPAA, FINRA, PCI DSS). IT providers help maintain compliance and audit readiness. 
3. Limited access to skilled IT talent 
   Hiring and retaining experienced IT professionals is costly and time-consuming. A partner fills skill gaps with specialized expertise. 
4. Need to focus on core operations 
   Technology should enable the business, not consume leadership’s time. Outsourcing allows teams to focus on growth. 
5. Scalability and cost predictability 
   Managed services provide flexible, scalable support with consistent monthly costs. 
   

The Pros and Cons of Outsourcing IT Services 

Outsourcing IT offers significant advantages, but it’s important to understand the trade-offs.

Pros 

• Access to a broad range of expertise across IT disciplines  

• Predictable costs and reduced need for full-time hires  

• Improved security through proactive monitoring  

• Stronger business continuity and disaster recovery planning  

• Scalable services that grow with your business  

• 24/7 support beyond internal team capacity  

Cons 

• Perceived loss of control over IT decisions  

• Dependence on an external provider  

• Initial onboarding and transition complexity  

In most cases, the benefits outweigh the drawbacks, especially when you select a partner aligned with your business goals.

Key Criteria for Selecting the Right Managed IT Services Partner 

The difference between a good provider and a true partner comes down to several key factors: 

• Local expertise and presence
  Providers with regional experience better understand local business environments, compliance requirements, and can respond quickly when needed.  

• Proven track record and industry experience
  Look for case studies, testimonials, and references—especially within your industry or company size.  

• Comprehensive service offerings
  The right partner delivers end-to-end capabilities, from help desk to cybersecurity to cloud and compliance.  

• Security-first approach
  Ensure they prioritize layered security, continuous monitoring, and proactive risk management.  

• Transparent service-level agreements (SLAs)
  Clear expectations around response times, performance metrics, and accountability are critical.  

• Customization and scalability
  Your needs will evolve. Choose a provider that can adapt alongside your business.  

• Responsiveness and communication
  Clear, timely communication and accessible support should be non-negotiable.  

• Cultural fit and long-term alignment
  The best partners operate as an extension of your team and align with your business vision.  

Practical Steps for Choosing Your IT Provider

1. Conduct a thorough needs assessment 
   
2. Research and shortlist reputable providers  
3. Interview multiple vendors and ask scenario-based questions  
4. Evaluate certifications, tools, and technical capabilities  
5. Request an initial network or IT assessment  
6. Understand their onboarding process and timeline  
7. Review their support model and escalation procedures  
8. Compare pricing based on value—not just cost  
9. Speak with current clients for validation  
10. Trust your instincts on fit and professionalism  

Impact Across Industries

Different industries have unique IT priorities: 

• Healthcare
  Focus on data security, HIPAA compliance, and system integration  

• Finance
  Prioritize transaction security, compliance, and audit readiness  

• Manufacturing
  Ensure uptime, connectivity, and operational continuity  

• Retail and Hospitality
  Emphasize data privacy, PCI compliance, and customer experience  

• Professional Services
  Secure document management and reliable remote access are critical  

Conclusion

Choosing the right IT services partner can significantly impact your business’s trajectory—improving performance, reducing risk, and enabling growth. 

The best partners go beyond maintaining systems. They provide strategic guidance, align technology to business outcomes, and help build a foundation for scalability, automation, and innovation. 

By prioritizing security, responsiveness, and alignment with your goals, you can select a partner that not only supports your IT environment but actively contributes to your long-term success.

If you’re unsure where your current environment stands, a structured assessment is a practical first step. An IT & Security Maturity Review can help you identify gaps, reduce risk, and build a clear roadmap for a more secure, connected, and scalable foundation. Contact us today to get started. 

Key Takeaways

• Prioritize providers with relevant industry and regional expertise  

• Choose a partner with comprehensive, end-to-end capabilities  

• Ensure SLAs are clear, measurable, and enforceable  

• Make security and compliance a top priority  

• Look for cultural alignment and long-term partnership potential  

• Validate technical expertise through certifications and references  

• Select a provider that can scale with your business  

• Understand onboarding and transition processes upfront  

• Evaluate value not just cost  

• Choose a partner you trust to support your growth  

FAQs

1. What are IT services, and why do businesses need them?
   IT services include support, infrastructure management, cybersecurity, and cloud solutions that help businessesoperate efficiently and securely. 
2. What’sthe difference between IT services and managed IT services?
   IT services can be project-based or reactive, while managed IT services provide ongoing, proactive management and support. 
3. How do managed IT servicesbenefitmid-market companies?
   They provide predictable costs, scalability, expert support, and improved security. 
4. What should I look forinan IT services partner?
   Experience, comprehensive services, responsiveness, strong security practices, and cultural alignment. 
5. Can IT providers support cloud migration?
   Yes,most managed IT providers offer cloud migration, optimization, and ongoing management. 
6. Will outsourcing IT reduce control?
   No,strong partners operate collaboratively and provide transparency. 
7. How long does onboarding take?
   Typically a few weeks, depending on complexity.
8. How do providers support business continuity?
   Through data backups, disaster recovery planning, and rapid incident response.

The post How to Pick the Right IT Services Partner for Your Business appeared first on Atlantic | Tomorrow's Office.

For CFOs, Controllers, and VPs of Finance, that pressure is changing the role of finance. It is no longer enough to close the books, report on the past, and manage budgets reactively. Today’s healthcare finance leaders are expected to provide strategic guidance, improve operational visibility, protect revenue, and help their organizations make faster, more confident decisions.

That is especially true for Community Health Centers.

According to our most recent eBook, Clarity, Control, and Confidence for Your Clinic, Community Health Centers include more than 1,300 organizations across 15,000+ sites and serve more than 31 million patients. Many operate on margins of just 1–3%, while relying on grants, regulated funding streams, and reimbursement models that continue to evolve.

In this environment, financial visibility is not just a back-office improvement. It is a leadership priority.

Why financial visibility matters for Community Health Centers

Financial visibility gives healthcare finance leaders a clear, timely view of performance across locations, programs, entities, grants, and funding sources.

For Community Health Centers, that visibility can help answer critical questions:

• Which programs are financially sustainable?
• Where are costs rising across locations?
• Are grants and restricted funds being tracked accurately?
• Can leadership see budget-to-actuals in real time?
• Are reporting and audit requirements being met without manual workarounds?
• How would reimbursement or funding changes affect future operations?

Without reliable answers, finance teams are left reacting to problems after they happen. With better visibility, CFOs and Controllers can identify risks earlier, support smarter planning, and help their organizations protect both financial stability and patient care.

The finance leader’s role is becoming more strategic

The role of the healthcare CFO has expanded significantly. Research found that 79% of healthcare finance leaders say their role has changed significantly in recent years, and 84% are now involved in areas such as HR strategy, planning, and digital transformation.

That shift makes sense. Finance touches nearly every part of a Community Health Center’s operations.

When reporting is delayed, leadership may not see revenue risks quickly enough. When grant tracking is manual, compliance risk increases. When systems are disconnected, it becomes harder to plan staffing, evaluate service lines, or understand performance across locations.

For CFOs, Controllers, and VPs of Finance, the goal is not simply to produce more reports. The goal is to turn financial data into timely insight that supports better decisions.

Outdated systems make resilience harder

Many Community Health Centers have made significant progress with patient-facing technology. The Sage report notes that electronic health record adoption among CHCs is extremely high, and telemedicine use is widespread. But back-office finance systems often have more room for improvement.

That gap creates several challenges.

Reporting takes longer than it should. Finance teams may need to export data, manipulate spreadsheets, and manually combine information from multiple systems just to create board reports or budget updates.

Compliance becomes more difficult. CHCs must manage grants, audits, internal controls, and regulated funding requirements. Manual processes increase the risk of errors and make it harder to maintain confidence in the numbers.

Leadership lacks real-time insight. Boards and executive teams need timely information to guide decisions. If finance data is outdated by the time it is reviewed, leaders are forced to make decisions with incomplete visibility.

The report found that 74% of healthcare finance leaders believe their current technology stack needs improvement. It also found that 86% want better AP automation and outlier detection, 79% would benefit from broader process automation, and 81% want stronger financial analysis and reporting capabilities.

Automation can help finance teams do more with less

Community Health Center finance teams are often asked to manage growing complexity without growing headcount. That makes automation a practical starting point for operational improvement.

Automating repetitive finance tasks can help reduce manual work across areas such as:

• Accounts payable
• Approval workflows
• Grant tracking
• Compliance reporting
• Month-end close
• Budget-to-actual reporting
• Audit preparation

For Controllers, this can mean cleaner processes, stronger controls, and fewer spreadsheet-heavy workflows. For CFOs and VPs of Finance, it can mean more time spent on forecasting, scenario planning, board reporting, and strategic decision support.

Automation is not about removing the human element from finance. It is about giving finance teams the time and tools to focus on higher-value work.

Trusted data is the foundation for confident decision-making

Financial visibility depends on data leaders can trust.

That is a major challenge in healthcare finance. The report cites research showing that 90% of healthcare finance leaders struggle with data accuracy, 81% lack adequate reporting capabilities, and 72% face insufficient internal controls.

For Community Health Centers, inaccurate or delayed data can create real consequences. It can slow variance detection, complicate audits, limit funding visibility, and make it harder to understand the financial impact of operational decisions.

Modern financial management systems help address this by creating a more reliable source of truth. Instead of relying on static spreadsheets and disconnected tools, finance leaders can gain visibility across dimensions such as entity, department, location, provider, program, grant, or funding source.

That kind of drillable insight helps finance leaders move from reactive reporting to proactive leadership.

What should Community Health Center CFOs prioritize?

For finance leaders evaluating their current systems and processes, the priority should not be “technology for technology’s sake.” The priority should be building a finance function that can support resilience.

That means focusing on questions like:

Can our team access accurate financial data quickly?
If the answer is no, reporting delays may already be limiting leadership’s ability to make timely decisions.

Can we track performance across locations, programs, and funding sources?
CHCs need visibility into how resources are being used and where financial pressure is building.

Can we manage grants, audits, and compliance requirements without excessive manual work?
Manual processes may work in the short term, but they create long-term risk as complexity grows.

Can finance support strategic planning, not just historical reporting?
CFOs and VPs of Finance need tools that support forecasting, scenario planning, and cross-functional decision-making.

Can our systems scale as funding models and reporting requirements change?
As value-based care and reimbursement complexity continue to evolve, finance teams need infrastructure that can adapt.

Building a more resilient finance function

Community Health Centers play a vital role in the healthcare system. But mission-driven care still requires strong financial infrastructure.

For CFOs, Controllers, and VPs of Finance, resilience starts with visibility. Finance leaders need accurate data, automated processes, stronger reporting, and systems that help them anticipate risk before it disrupts the organization.

The CHC finance leaders who modernize now will be better positioned to manage uncertainty, protect funding, support operational decisions, and strengthen the long-term health of their organizations.

To explore these challenges in more detail, check out the full eBook: Clarity, Control, and Confidence for Your Clinic: How Community Health Center CFOs Can Build Resilience.

If your finance team is evaluating ways to improve reporting, automate manual processes, or gain clearer visibility across your organization, connect with our experts to talk through the next step.

FAQs

What is financial visibility in a Community Health Center?

Financial visibility means having timely, accurate insight into financial performance across locations, programs, grants, entities, and funding sources. For Community Health Centers, it helps finance leaders understand costs, track restricted funds, prepare for audits, and make more confident operational decisions.

Why do Community Health Center CFOs need real-time reporting?

Community Health Center CFOs need real-time reporting because funding, reimbursement, staffing, and compliance requirements can change quickly. Real-time reporting helps leaders identify risks earlier, respond faster, and make better decisions about programs, resources, and long-term planning.

How can automation help Community Health Center finance teams?

Automation can reduce manual work in areas like accounts payable, approvals, grant tracking, compliance reporting, and month-end close. This helps finance teams improve accuracy, save time, strengthen controls, and focus more on strategic analysis.

What financial challenges do Community Health Centers face?

Community Health Centers often face tight margins, complex funding streams, grant tracking requirements, reimbursement uncertainty, staffing challenges, and growing compliance demands. These challenges make accurate reporting and real-time financial insight especially important.

What should CHC finance leaders look for in a modern finance system?

CHC finance leaders should look for a system that supports real-time reporting, multi-entity visibility, grant tracking, budget-to-actual reporting, audit readiness, automation, and secure integration with other healthcare systems.

The post How Community Health Center CFOs Can Gain Visibility appeared first on Atlantic | Tomorrow's Office.

With another March nearly behind us, Microsoft used FabCon 2026 to showcase its latest innovations—and unsurprisingly, AI was front and center. But beyond the buzz, the message was clear: powerful AI starts with a strong data foundation. Atlantic had the privilege of attending the conference both as a vendor and an attendee, and we came away with valuable insights on the biggest announcements, emerging trends, and what they could mean for the future of data and analytics. In this post, we’re sharing the updates that stood out most and our thoughts on where Microsoft is headed next. 

The Big Theme from FabCon 2026 

If there was one message repeated across nearly every announcement at FabCon this year, it was this: AI is only as valuable as the data platform behind it. Microsoft’s strategy is clearly focused on making Fabric the unified foundation for analytics, governance, automation, and AI-driven experiences. 

That showed up in a few major ways: 

• Continued investment in Power BI as the business-facing analytics layer 

• Expansion of Data Factory and Fabric development tooling to improve orchestration and deployment 

• Ongoing enhancements to OneLake as the centralized data layer 

• Growing emphasis on governance and security through Purview 

• A bigger push toward AI agents, semantic understanding, and operational intelligence 

Rather than treating AI as a standalone feature set, Microsoft is building it directly into the broader Fabric ecosystem. That’s an important distinction—and one that makes these announcements especially meaningful for organizations trying to scale both analytics and AI responsibly. 

8 Key Announcements by Area 

1. Power BI: Smarter, More Interactive Reporting 

Power BI updates at FabCon 2026 focused heavily on making reports more interactive, more modern, and more connected to action. Microsoft continues to push Power BI beyond passive dashboards and into more translytical and workflow-enabled scenarios. 

Available now 

Several updates are already generally available, particularly in the visualization experience: 

• Translytical task flows bring new workflow capabilities directly into reports, allowing users to move from analysis to action without leaving Power BI. 

• The new button slicer and enhanced card visual improve report usability and design flexibility. 

• Modern visual defaults introduce a refreshed Fluent 2 styling experience out of the box. 

• Custom totals in tables bring more flexibility to business-facing reporting. 

• Direct Lake on OneLake remains one of the most important performance stories, reinforcing Microsoft’s push toward fast, large-scale analytics without traditional refresh bottlenecks. 

In preview 

A few Power BI features are still in preview but point to where the platform is heading: 

• Input slicer expands how users can interact with reports and data functions 

• List slicer dropdown mode improves usability for more complex filtering scenarios 

• Power BI Modeling MCP server opens the door for AI tools to work directly with semantic models 

• Mobile Copilot extends Copilot’s value to mobile users 

Coming soon 

Looking ahead, Microsoft previewed several improvements that should further streamline development and improve usability: 

• Fixed-width controls for tables and matrixes 

• Conditional formatting for lines and series 

• A new date picker mode 

• Reusable style presets for themes 

• A native Gantt chart visual 

• Additional translytical enhancements 

• TMDL View on Web and improvements to Copilot tooling/file formats 

Our take 

This was one of the clearest areas where Microsoft showed its broader vision: Power BI is evolving from a reporting layer into a more interactive decisioning layer. The combination of better visuals, semantic tooling, and translytical features suggests Microsoft wants business users to do more than consume insights—they want them to act on them. 

2. Data Factory: More Control, More Orchestration, More Enterprise Readiness 

Data Factory announcements centered on enterprise orchestration, governance, and easier operational management. Many of the updates felt geared toward making Fabric a more credible home for production-grade integration workloads. 

Available now 

Highlights included: 

• Outbound access protection for more controlled connectivity 

• Azure Key Vault support for VNet gateway connections 

• On-premises gateway auto-update to reduce maintenance overhead 

• Apache Airflow Job Fabric providers to bring Fabric operations into broader orchestration flows 

In preview 

Microsoft also previewed several features that expand flexibility and visibility: 

• SharePoint Site Picker 

• Lakehouse maintenance pipeline activities 

• Interval-based schedules 

• SSIS pipeline activity 

• Copy Job audit column 

• Workspace monitoring for Copy Job 

• Performance improvements in Copy Job 

• Data Factory MCP Server 

• Migration Assistant for Data Factory 

Coming soon 

Roadmap items included: 

• Expanded dbt support 

• Running pipelines under a service principal identity 

• Additional low-latency and CDC-oriented Copy Job enhancements 

Our take 

Data Factory is becoming more mature and more operationally complete. The emphasis on scheduling, monitoring, security, and migration support shows Microsoft understands that enterprise data teams need far more than “just pipelines”—they need repeatability, observability, and safe deployment practices. 

3. Fabric Development: A Stronger Platform for Builders 

One of the most interesting themes at FabCon was how much Microsoft is investing in the developer experience around Fabric. 

Available now 

Microsoft highlighted several capabilities already available: 

• Terraform Provider for Fabric 

• Fabric CLI 

• Workspace provisioning identity 

• Fabric local MCP 

• Quality-of-life improvements to the “stay-in-flow” development experience 

• CI/CD Library in the CLI 

In preview 

Preview features included: 

• Azure DevOps Pipelines Extension 

• Git integration enhancements 

• Variable Library deployment parameterization 

• Service principals as Fabric item identity 

• Bulk export/import through REST APIs 

• Workspace monitoring 

• Job events and alerts 

• Soft-delete and recovery 

Coming soon 

• Fabric Jumpstart, positioned as an installable accelerators and demo catalog 

Our take 

This was an important area for teams trying to operationalize Fabric at scale. Microsoft is clearly moving beyond the idea of Fabric as only a UI-first platform and is investing more seriously in automation, DevOps, and deployment tooling. That’s a strong signal for enterprise adoption. 

4. OneLake: The Center of the Fabric Story 

If AI was the headline, OneLake was the foundation underneath almost everything Microsoft talked about. Many announcements reinforced OneLake’s role as the shared storage and access layer across Fabric workloads. 

Available now 

Key available capabilities included: 

• OneLake MCP server 

• OneLake Table API 

• Shortcut transformations 

• Security UX improvements 

• Broader availability of security and storage features such as encryption and diagnostics 

In preview 

Preview items included: 

• SharePoint + OneDrive shortcuts 

• Databricks reads from OneLake 

• Security APIs for external engines, applications, and AI agents 

• Additional shortcut and mirroring sources 

Coming soon 

Roadmap highlights included: 

• Delegated OneLake shortcuts 

• Expanded Table API operations 

• File explorer enhancements like size reporting and lifecycle management 

• Eventhouse support for OneLake security 

• The GA milestone for OneLake security 

Our take 

OneLake continues to look like the backbone of Microsoft’s unified data story. The more Microsoft opens it up to external engines, APIs, and AI tooling, the more compelling it becomes as a central platform rather than simply a storage layer. 

5. Data Warehousing and SQL: Continued Convergence 

On the SQL and warehousing side, Microsoft showed continued progress toward a more unified data platform within Fabric. 

Available now 

• Mirroring for Microsoft SQL with support for more than 500 tables 

In preview 

• Database Hub 

• Database Agents 

• Multiple SQL database in Fabric enhancements 

• Data alerts and actions in Fabric Data Warehouse 

• CI/CD enabled by DacFx 

Coming soon 

• Hyperscale for Fabric SQL 

• Shortcuts from Fabric SQL 

• GeoDR 

• Additional warehouse performance improvements 

• Workspace monitoring and performance dashboard enhancements 

Our take 

This area feels like steady platform maturation. The roadmap points to a future where traditional SQL development, mirrored operational data, alerting, and CI/CD can all live more naturally within Fabric. 

6. Purview: Governance Is Becoming More Native 

Governance was another clear theme across FabCon, particularly as Microsoft tied it more directly to Fabric and AI scenarios. 

Available now 

Microsoft highlighted several generally available Purview-related capabilities: 

• Information Protection labels in Fabric 

• Data Loss Prevention policies 

• Insider Risk Management 

• Data Security Posture Management 

• Data quality and data health management in Unified Catalog 

In preview 

• Expanded restrict-access coverage for structured data workloads 

• Scoped scan support 

• Additional data health enhancements 

Coming soon 

• More restrict-access coverage for Cosmos and mirrored databases 

Our take 

This matters because organizations are not just asking whether AI works—they’re asking whether it’s governed, auditable, and secure. Microsoft’s Fabric story is increasingly pairing AI enablement with trust controls, which is exactly where many enterprises need the conversation to go. 

7. AI Agents: From Analytics to Action 

AI agents were one of the most forward-looking areas of the conference. Microsoft’s message here was that AI in Fabric is about more than chat—it’s about grounded, business-aware systems that can reason over organizational and operational context. 

Available now / currently surfaced 

• Fabric data agent fundamentals 

• Support for conversational access to lakehouses, warehouses, semantic models, KQL databases, mirrored databases, and ontologies 

In preview 

• Fabric data agents in Copilot Studio 

• Fabric data agents in Microsoft 365 Copilot 

• Data agent as MCP server 

• Operational Agents 

• The broader Fabric IQ, Foundry IQ, and Work IQ concepts 

Coming soon 

• Support for publishing to Microsoft 365 Copilot 

• Citing Fabric data agents in topics 

• Progress notification and streaming 

• Data Agent MCP Client 

• Integration with Researcher in Microsoft 365 Copilot 

Our take 

This may be the clearest picture yet of where Microsoft is headed: a world where analytics, semantic models, operational context, and AI agents work together. The interesting part is not just that agents exist—it’s that Microsoft is trying to ground them in governed enterprise data and business meaning. 

8. Cosmos DB and Translytical Patterns 

Although more architectural than product-specific, the Cosmos DB discussion helped show how Microsoft is thinking about agentic applications and operational + analytical convergence. 

Highlights included: 

• Using Fabric + Cosmos DB mirroring as an application architecture pattern 

• Leveraging Fabric User Data Functions as a custom logic layer 

• Supporting translytical workflows where analytical insights can trigger or support operational actions 

Our take 

This is one of the more compelling long-term patterns coming out of FabCon. It reinforces the idea that Fabric is not just for BI—it’s increasingly positioned as part of a broader intelligent application architecture. 

Final Takeaway 

FabCon 2026 made Microsoft’s direction clearer than ever: AI may be the headline, but data, governance, and platform integration are the real story. Across Power BI, Data Factory, OneLake, SQL, Purview, and AI agents, Microsoft is building toward a more unified environment where data can be managed, analyzed, secured, and activated in one ecosystem. 

For organizations already investing in Microsoft’s data stack, that should be encouraging. The opportunity is not just to adopt new features, but to rethink how analytics, automation, and AI can work together on top of a shared foundation. 

At Atlantic, we came away from FabCon excited about where the platform is headed—and even more interested in helping clients make sense of which of these announcements are worth acting on now versus watching as they mature. 

The post FabCon 2026: AI Gets the Headlines, But Data Is the Real Story appeared first on Atlantic | Tomorrow's Office.