Finds fraud in payroll, pensions, and benefits before it becomes next year's audit finding. It's the first product built on the engine everything else will run on.
Government investigators have thousands of cases, millions of records, and tools that were built to display data, not review it. The reviewing is left to people who don't have the hours for it.
The core problem is not data access — governments have the data. The problem is doing the work of reconciling it: cross- referencing records that were never designed to talk to each other, so an investigator can see the whole picture instead of one office's slice of it.
Every lead links back to the specific record it came from — not a black-box score.
Agents resolve identity and match records across systems that don't otherwise talk to each other.
Investigators work a ranked queue — highest confidence first, not a raw dump of every anomaly.
Fraud in government records tends to fall into a handful of recurring shapes. Here's what the platform is looking for, and why it matters.
Problem: Ghost employees, unauthorized overtime, and pay records that drift from actual hours worked.
How AgentGov finds it: Agents cross-reference payroll records against staffing rosters and time records, flagging entries that don’t reconcile.
Why it matters: Payroll is one of the largest recurring line items in any government budget — small drift compounds fast.
Problem: Benefits continuing to pay out after eligibility has lapsed, or pension calculations that don’t match service records.
How AgentGov finds it: Agents reconcile pension rolls against service and eligibility records — the same analysis built on the NJ Open Data Portal.
Why it matters: Pension systems are long-lived and rarely re-audited end-to-end — errors can run for years before anyone notices.
Problem: An individual drawing pay or benefits from more than one government position or program at once, where that overlap isn’t permitted.
How AgentGov finds it: Agents resolve identity across separate payroll and benefits systems that don’t otherwise talk to each other, then check the overlap against applicable rules.
Why it matters: This is exactly the kind of cross-system pattern that’s invisible to any single office looking only at its own records.
Problem: Eligibility claims that no longer match the underlying record — income, residency, or status that has since changed.
How AgentGov finds it: Agents check benefits claims against the records that would disqualify them, and flag exceptions before they age into a real loss.
Why it matters: Benefits programs exist to help people who qualify — protecting them means catching the claims that no longer do.
AgentGov does not surface anomalies and leave the interpretation to you. The platform runs a structured process from ingestion to a ranked, actionable lead.
Payroll, pension, benefits, and Medicaid data comes into the platform through secure, logged connections. Every record stays traceable, and no data leaves your environment.
Agents read across all of it at once — matching the records that describe the same person, and flagging the ones that don't line up.
Investigators receive a prioritized queue, ranked by confidence score, with every lead linked back to the source record it came from. Ready for your team to take the next step.
Fraud Detection runs on the same engine we're building for every other office. Get in touch and see it working.