Executive Proposed New AI Fraud Response Metric

The proposed Time-to-Control metric tracks how fast federal agencies can stop fraud using artificial intelligence tools.

Updated on Sept. 28, 2026 in Artificial Intelligence

Isometric editorial illustration of interconnected steel mechanical levers and a central pivot, representing a system control mechanism. — PCI Federal executive Nick Dunn has proposed a new 'Time-to-Control' metric to track federal agency speed in responding to AI-detected fraud patterns. AI Illustration. Upload story photo >

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Should federal agencies use artificial intelligence to test for fraud before launching new government programs?

Nick Dunn, CEO of PCI Federal's Technology and Mission Solutions Sector, has introduced a new metric called Time-to-Control to measure fraud response speed. This proposal follows a recent partnership between PCI Government Services and Seekr aimed at enhancing federal AI detection capabilities.

Why it matters

Current improper payment estimates only track total fraud amounts without regard for response duration, leaving agencies unable to measure their operational reaction speed. The proposed metric addresses this by quantifying the time between identifying a fraud pattern and deploying a control.

The Time-to-Control metric measures the precise duration between the identification of a fraud pattern and the deployment of a security control. It identifies specific bottlenecks in data access, software release cycles, legal reviews, and staff training.

The players

Nick Dunn

He is the CEO of the Technology and Mission Solutions Sector at PCI Federal.

PCI Government Services

This organization provides specialized technology solutions for federal agency operations.

Seekr

This technology company develops AI-driven tools utilized for fraud detection and data analysis.

The details

Agencies could use artificial intelligence to simulate fabricated identities and altered documents within controlled testing environments. This approach allows for the stress-testing of program operating designs to prevent the manipulation of rules and internal workflows.

December 2025: PCI Government Services entered a partnership with Seekr.
Wednesday, September 2026: Nick Dunn published commentary on the Federal News Network.

The Tech Race

The proposed Time-to-Control metric shifts federal focus from retroactive improper payment reporting toward the proactive, speed-based operational efficiency required under the Payment Integrity Information Act. This reflects a broader industry movement to integrate generative AI into government workflow testing.

Adopting this metric could lead to faster detection of identity theft and financial fraud affecting federal program participants. Users may experience more robust security layers in their interactions with government digital services as agencies improve their testing cycles.

The takeaway

Quantifying the response time to fraud represents a major shift toward data-driven accountability in government technology. Agencies that adopt simulations to test their systems can better prepare for evolving digital threats before they impact the public.