Five Ways Generative AI is Solving Payment Integrity’s Biggest Bottlenecks

The gap between fraud schemes and detection capabilities has never been wider. While fraudsters leverage AI to generate sophisticated fake documentation and scale schemes at unprecedented speed, most SIU and payment integrity teams remain trapped in manual workflows that take weeks to complete tasks that should take hours.

“Fraudsters are using AI too. They’re generating sophisticated documentation and scaling schemes faster than ever,” notes Rajesh Razdan, VP of Products at Codoxo. “But here’s the opportunity—Gen AI allows us to operate at the speed and scale we’ve always needed.”

At Codoxo’s recent Xcelerate Customer Conference, Razdan unveiled five breakthrough AI capabilities addressing the most frustrating bottlenecks facing SIU and payment integrity teams today.

1. AI Query: Query Your Data, See Insights in Minutes

The traditional cycle is painfully familiar: an investigator has a hypothesis about a billing pattern, submits a request to analytics, then waits three days, five days, sometimes two weeks. When results finally arrive, they often need refinement—triggering another wait cycle while fraud schemes continue evolving.

Codoxo’s AI Query eliminates this bottleneck entirely. Investigators describe what they want in plain English, and AI translates it into executable queries across medical, pharmacy, and dental claims—delivering results in minutes, not weeks. “That’s the agility SIU teams need,” Razdan emphasizes.

2. AI Targets: Finding the Needle in the Haystack

Every month, comprehensive FWA reports arrive—hundreds, sometimes thousands of pages of findings. AI Targets uses generative AI to automatically extract and surface high-value targets, providing case leads with specific allegations and related claims pre-identified, transforming weeks of triage into hours.

3. AI Cases: Accelerating Investigation Chart Review

Once investigators open a high-priority case, they hit another critical bottleneck: chart review. “Two words that make every investigator sigh,” Razdan notes.

Within each investigation, reviewing clinical documentation means spotting inconsistencies, notes that don’t align with diagnosis, undocumented procedures, and mismatched dates. One case might involve hundreds of pages of medical records. Meanwhile, fraudsters increasingly use AI to generate sophisticated fake records that can pass quick reviews.

AI Cases brings generative AI directly into case workflows, performing automated chart review at scale within investigations including deep fake detection. It flags specific inconsistencies, identifies cloned records, and can even detect AI-generated content. Investigators can ask questions about the documentation in plain English, with the system pointing directly to relevant sections of medical records. The workflow seamlessly integrates with case documentation, allowing investigators to generate findings notes and letters based on the AI analysis.

“Cases that took a week can now be assessed in hours,” Razdan notes. “This doesn’t replace investigator judgment—it enhances it.”

4. Education Inserts: Turning Confrontation into Collaboration

Outlier reports tell providers they’re anomalies but not why it matters or how to fix it, creating defensive providers and damaged relationships. Education inserts embed tailored guidance directly into reports—explaining relevant policies, showing compliant coding examples, and providing actionable steps to avoid denials. The result: provider communication and education transforms from confrontational to educational.

5. Policy Update Alerts: Preventing Denials Before They Happen

Providers often discover policy updates only after claims get denied, leading to denial spikes, frustration, and preventable appeals. Policy Update Alerts monitor changes and automatically generate clear, tailored notifications, allowing providers to adjust practices before policies go live and before claims are denied.

The Bottom Line

“This isn’t a future vision. This technology is available now,” Razdan concludes. “The schemes are getting more sophisticated, fraudsters are using AI—but now you have tools that match that challenge.”

These capabilities represent more than efficiency gains. They fundamentally shift payment integrity from reactive, manual processes to proactive, intelligent automation operating at the speed modern threats demand.

Ready to accelerate your payment integrity operations with AI-powered automation? Contact Codoxo to learn how these next-generation capabilities can transform your team’s effectiveness while reducing investigation timelines from weeks to hours.

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