Inside the Solution: A Closer Look at Velosio

AI may be getting the attention, but its usefulness depends heavily on what sits underneath it. Fragmented data, disconnected processes, and manual workarounds can limit what finance teams are able to automate—or even see clearly in the first place.

We spoke with Velosio about why building a connected business foundation is becoming an important part of the conversation around finance modernization.

For someone hearing about Velosio for the first time—what do you actually do, in plain English? 
Velosio helps organizations connect finance, operations, data, and business applications through the Microsoft technology ecosystem. Its work spans ERP modernization, system integration, analytics, workflow automation, and AI adoption, with the goal of helping teams operate from more consistent information and make better use of their technology investments.

What’s breaking (or slowing down) for finance teams today—and why is it becoming harder to ignore? 
Financial information often lives across ERP systems, spreadsheets, operational applications, and reporting tools that weren’t designed to work together. That fragmentation creates duplicate work, slows reconciliations, and makes it harder to build a complete picture of business performance.

It also complicates AI adoption. When the underlying data is inconsistent or disconnected, AI tools may lack the context needed to produce useful results. For finance leaders, improving data quality and process connectivity is increasingly a prerequisite for moving beyond isolated AI experiments.

Who tends to get the most value from this—and where does it typically click fastest? 
Mid-market and upper-mid-market organizations with growing operational complexity are a natural fit. Velosio works across industries including manufacturing, distribution, professional services, agribusiness, construction, and real estate, where finance often depends on information generated throughout the business.

The priorities vary by industry. Manufacturers may need better connections between purchasing, inventory, production, and costing, while professional services firms may focus on project accounting, billing, and profitability. In both cases, the opportunity is to give finance a more complete view of the activity behind the numbers.

If a finance team started using your approach tomorrow, where would they feel the impact first? 
Reporting and reconciliation are often practical starting points. Connecting financial and operational information can reduce manual report preparation, duplicate data entry, and spreadsheet-dependent processes while making information more accessible across teams.

From there, organizations can extend improvements into planning, forecasting, approvals, and other recurring workflows. The emphasis is on addressing specific operational problems first, then building toward more advanced analytics and AI capabilities as the underlying processes and data become more reliable.

How does this fit into the existing finance tech stack—and how does it hold up as the business grows? 
Velosio works across Microsoft’s business technology ecosystem, including Dynamics 365, Business Central, Microsoft Fabric, Power BI, Power Platform, Microsoft 365, Copilot, and Azure. These technologies can connect finance with CRM, manufacturing, supply chain, project management, and other operational systems to support shared reporting, automation, and analytics.

As organizations expand, the same foundation can support additional processes, business units, and AI use cases without treating each improvement as a separate technology project. Velosio takes a phased approach to modernization, helping businesses prioritize the changes that matter now while establishing the data quality, governance, and operational structure needed for future capabilities.


Explore More at the Finance & Accounting Technology Expo (FATE) 2026

Meet Velosio at FATE 2026 (Nov 18–19, NYC)—a curated, high-signal environment where finance teams can compare solutions side-by-side, see how real workflows operate, and evaluate what fits their business.