Executive Proposed New Metric to Track Fraud Response Speed
A new Time-to-Control metric aims to quantify how quickly agencies can detect and shut down emerging fraud schemes.
Updated on Sept. 28, 2026 in Artificial Intelligence
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Nick Dunn, CEO of PCI Federal's Technology and Mission Solutions Sector, has proposed a Time-to-Control metric for federal agencies. The framework tracks the duration between the identification of fraud patterns and the deployment of countermeasures.
Why it matters
Current federal improper payment estimates focus on total fraud volume, overlooking the speed of agency responses to active threats. This proposed metric addresses the need to evaluate how quickly government programs can adapt their rules and workflows to evolving manipulation schemes.
The Time-to-Control metric explicitly measures delays in data access, technology release cycles, legal review, and training. Agencies are encouraged to pair this with AI-driven simulations of fabricated identities and altered documents to test their operational design.
The players
Nick Dunn
CEO of the Technology and Mission Solutions Sector at PCI Federal.
PCI Government Services
A provider of specialized technology and mission support services for federal agencies.
Seekr
An artificial intelligence firm that partnered with PCI Government Services to deliver fraud detection tools.
The details
The proposed framework utilizes artificial intelligence to create controlled environments where agencies can stress-test their systems against synthetic fraud scenarios. By simulating fabricated identities and altered documents, agencies can identify specific bottlenecks in their response architecture. The metric isolates the time elapsed from the initial identification of a fraud pattern to the actual deployment of defensive controls, highlighting inefficiencies in existing workflows.
Timeline
December 2025: PCI Government Services established a partnership with Seekr.
Wednesday, September 23, 2026: Nick Dunn published the commentary outlining the proposed metric.
The Tech Race
This proposal attempts to shift the federal oversight model from static financial auditing to dynamic, AI-assisted operational testing. It sits in contrast to the historical reliance on annual improper payment estimates for federal oversight.
The proposal focuses on backend federal agency operations rather than direct consumer-facing interfaces. Any implementation would initially affect the internal workflows of federal program managers and their technology partners.
The takeaway
The move toward real-time fraud response metrics could significantly alter how federal programs manage operational risk. Stakeholders should watch for agency adoption of AI-based simulation environments as a new standard for testing program integrity.
Further reading
For broader context on how government entities are integrating emerging tools, visit Artificial Intelligence.
Source note: This article includes information reported by ExecutiveBiz.
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