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How Incorta, Google and ̽����Ƶ help State, Local, education and Federal civilian agencies move from slow close cycles to real-time, AI-ready financial insight

I spend a lot of my time talking with Government finance leaders—CFOs, comptrollers, budget directors—and the conversation almost always starts with AI and ends with data. Almost every agency I talk to eventually runs into the same wall: their data isn’t ready. As we move toward agentic AI—AI that takes actions and makes decisions on its own, not just answers questions—the demands on that foundation multiply fast. Until it’s right, AI remains a slide in a strategy deck. That’s the problem Incorta was built to solve.

Nowhere is this more obvious than in Public Sector financial management, where the stakes are high, the infrastructure is often decades old and the expectation for transparency has never been greater. If we want to talk seriously about Unified Financial Intelligence in Government, we have to talk seriously about the data brain underneath it—the trusted, real-time, contextual foundation that AI agents depend on to make accurate, explainable decisions. Without it, you don’t have an AI problem. You have a data problem dressed up as one.

The Real Bottleneck: Government Finance Needs a Data Brain

Public Sector finance teams are under more pressure than ever: leaner budgets, post-pandemic fiscal gaps, enrollment volatility and a mandate to do more with less. New White House and OMB directives are accelerating the AI timeline—agencies are being asked to demonstrate AI-ready infrastructure now, not in a future budget cycle.

For CFOs, comptrollers and finance teams, that pressure is concrete. Close cycles still take days or weeks. Analysts spend more time gathering data than using it. When leadership questions a number, the answer is “let me pull it manually”—because the system shows aggregates, not the transactions behind them.

The root cause isn’t a lack of tools or talent. Financial data is scattered across GL, procurement, grants, payroll and project systems—each with its own codes and timing—and traditional ETL strips out the very context that makes it useful. That’s the data brain problem.

What the Data Brain Has to Deliver

For finance, AI isn’t about prettier dashboards. It’s about answering hard questions: why did this variance occur? Where are the early signals of fraud, waste or abuse? What does next quarter look like if this assumption changes? To answer those credibly, AI needs a data brain.

That data brain has to deliver three things: granularity (100% transactional detail), timeliness (near real-time, not last week’s batch) and context (preserved relationships—purchase orders to vendors, funds to appropriations, payroll to projects).

Traditional ETL gives you the opposite of a data brain: summarized, stale data stripped of business logic. When you layer AI on top of it, the model fills in the gaps—and for Government finance, that’s not a technical problem. If an AI-assisted answer can’t be traced back to the exact transaction, your auditors and oversight bodies won’t accept it.

That’s how you get hallucinations instead of financial intelligence.

The “AI problem” and the “data problem” in Government finance are actually the same problem. Build the data brain, and Unified Financial Intelligence follows.

What Changes When You Have a Data Brain

Take a Federal civilian agency we worked with: 24-hour data refresh cycles, manual reconciliation, spreadsheets and email chains just to close the books. Analysts spent most of their time getting data into a usable format—not using it.

After implementing Incorta with Google Cloud, that agency went from 24-hour to 15-minute data refreshes for key financial subject areas.

• From periodic close to continuous audit. Anomalies surface in near real-time—before they snowball, not after month-end.
• From “check the dashboard” to “follow the data.” The CFO questions a number; the analyst drills to the exact transaction, in the same environment.
• From data gathering to value creation. Analysts shift from reconciliation to scenario modeling and real decisions.

That’s Unified Financial Intelligence with a data brain underneath it: full, timely, contextual access to the truth—and the time to actually use it.

How Incorta Builds the Data Brain

The traditional path to modernizing financial data in Government is measured in years and eight-figure budgets—and most of us have seen how that story ends. At Incorta, we took a different approach: build the data brain for Government finance on Google Cloud without requiring agencies to tear out what’s already there. Three pillars make that possible:

1. Direct access to ERP data in its native form – Incorta connects directly to Oracle EBS, Oracle Fusion, SAP and Workday, ingesting data in its native schema—no heavy transformation, no lost business context.
2. Prebuilt blueprints for Public Sector financial systems – A library of prebuilt blueprints captures how ERP tables relate, how funds and projects are structured and how to translate that into analytics-ready models—removing months of data engineering work.
3. Landing it all in Google BigQuery for AI-ready analytics – The result is a production-ready financial data brain in Google BigQuery—granular, near real-time and fully contextualized—standing up in weeks, not months or years, with Gemini for Government and agentic AI tools ready to operate on top.

On top of this, Incorta layers AI-powered insights with built-in hallucination mitigation, role-based access controls, audit trails and mirrored source system permissions—so agencies can scale AI without sacrificing governance.

̽����Ƶ plays a crucial role in this story by making it easy for agencies to get started—through existing contract vehicles and the Google Cloud Marketplace—without embarking on another risky, bespoke IT project.

Where State, Local, Education and Federal Civilian Finance Teams Are Starting

State budget offices need real-time visibility into appropriations and fund balances—so leadership responds to revenue shifts, not monthly reports. Local Governments want to move from reactive spreadsheets to proactive scenario planning and cleaner audits. Education finance teams need unified views of budgets, grants and financial aid to navigate enrollment volatility. Federal civilian CFO offices are pursuing continuous close and early AI-driven detection of fraud, waste and abuse. In every case: build the data brain first, and the downstream AI use cases become operational, not experimental.

Getting Started Doesn’t Have to Be a Multi-Year Commitment

One of the most consistent concerns I hear is: “We’ve been burned by big data projects before. We can’t sign up for another multi-year transformation.” That hesitation is completely rational—and it’s exactly why we’ve structured our approach with Google and ̽����Ƶ to deliver value in weeks, not years.

A practical entry point is a Unified Financial Intelligence Modernization Assessment—a focused engagement to assess your ERP landscape, map how your data lands in BigQuery (secure, governed, auditable) and define a 60- to 90-day outcome that shows what the data brain delivers in your environment.

Incorta is available through ̽����Ƶ on the Google Cloud Marketplace—most agencies can use existing contracts and cloud commitments to get started, no new RFX required.

The Bottom Line

State, Local, education and Federal civilian finance teams don’t need another dashboard. They need the data brain that makes Unified Financial Intelligence possible—access to all of their financial data, in near real-time, with full business context, so they can shift from gathering data to actually using it.

That’s what Incorta, Google and ̽����Ƶ are building together for Government. In an environment where agencies are being asked to do more with less, standing up that data brain in weeks rather than years isn’t just a nice-to-have. It’s the difference between a finance function that’s keeping up and one that’s falling behind.

→ Request a live Agentic AI demo — see Incorta + Google in action on your mission data.

→ Try free for 30 days on Google Cloud Marketplace — software free; infrastructure costs may apply.

→ Get started with the Unified Financial Intelligence Modernization Assessment — map your data brain and define a 60- to 90-day outcome.

Ready to explore what real-time financial intelligence looks like for your agency? Learn more about Incorta’s Government solutions on ̽����Ƶ’s Incorta microsite. Watch our joint Incorta + Google session on AI-ready financial data for Public Sector.

Contact the ̽����Ƶ Team ☎ (703) 871-8548  |  ✉ incorta@carahsoft.com

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