A healthcare client was processing over a million insurance claims a year using a large, expensive workforce — nearly $1.5 million annually — for a workflow that was almost entirely rule-based and a natural fit for automation.
Claims processing at that volume comes down to applying consistent rules over and over: checking eligibility, validating information, and understanding why a claim gets denied so the same mistake doesn't repeat. That repetition is exactly what made this process a strong automation candidate.
The Challenge
The client's team processed more than a million claims every year, and the cost of running that operation with human staff alone had climbed to roughly $1.5 million annually. Because the process followed a defined set of rules, the real opportunity wasn't just to speed it up — it was to remove the manual labor entirely while keeping accuracy high.
The Solution
We built AI-powered bots designed specifically for this workload. Rather than just executing a fixed script, the bots were built to learn from the claims they processed:
- The bots processed claims end to end, applying the client's existing business rules automatically.
- Each time a claim was denied, the bots analyzed the reason behind the denial.
- That analysis fed back into the bots' rules and algorithms, so the same denial pattern was less likely to happen again.
- Over time, this created a continuously improving system rather than a static, one-time automation.
The Results
Moving to AI-driven claims processing delivered a step-change in cost, speed, and accuracy:
- Full-time staffing needs dropped to 20% of the original team — an 80% reduction in manual effort.
- Annual processing costs fell by 70% after deploying SmartView's AI bots.
- Claims were processed with 100% accuracy at a faster speed than before.
- Claim denials dropped by 95% within the first three months.
- The client saw substantial cost savings and a strong return on investment.
- The process now runs completely automated, with no manual intervention required.
A 95% drop in claim denials within three months — because the bots didn't just process claims, they learned from every one that got rejected.
High-volume, rule-based processes like claims adjudication are where AI automation delivers its clearest ROI. By building bots that learn from denials instead of just executing fixed steps, this client turned a costly manual operation into a self-improving, nearly hands-off process.
