Managed AI Services for Insurance
Regulators do not examine your AI at launch; they examine it years into production, after the book has shifted and the model with it. The NAIC model bulletin and OSFI expectations both assume continuous oversight, and a fraud or triage model left unmonitored is exactly how a carrier ends up explaining unexplainable decisions to a DOI. Managed AI services for insurance is that continuous oversight, operationalized: we run your claims, underwriting, and fraud AI under SLAs, with drift detection tuned to seasonal and book-mix changes, disparity monitoring on outcome-affecting models, and evidence generation that keeps your governance program true in production, not just on paper.
Managed AI Services, built for insurance
We monitor production models around the clock inside your environment, tracking accuracy, drift, latency, and the outcome-distribution metrics your compliance program cares about.
Evaluation sets drawn from your actual claims and underwriting files are refreshed continuously, so measured quality reflects the current book, not last year's.
Every inference stays logged and versioned, and incidents run under SLA with root-cause reporting your model governance committee can file.
We manage retraining and controlled releases through your approval gates, so models improve on a governed cadence instead of drifting or stagnating.
Where it pays off in insurance
Claims model operations
Triage and straight-through models kept accurate through seasonal patterns and cat events, with escalation behavior verified continuously.
Fraud model maintenance
Detection models retuned as fraud patterns evolve, with false-positive monitoring so SIU referral quality holds.
Underwriting model oversight
Continuous performance and disparity monitoring on risk models, generating the ongoing-oversight evidence examiners request.
Servicing automation upkeep
We operate document and correspondence AI at production volume, keeping quality steady as forms and products change.
Carriers keep straight-through rates and fraud referral quality stable quarter over quarter, with governance evidence produced automatically and examination data calls answered from logs rather than reconstruction projects.
Insurance AI, answered
The NAIC bulletin expects ongoing monitoring, testing, and documentation for the life of each model, which is an operations commitment, not a policy statement. We deliver it as a service: continuous measurement, logged decisions, and scheduled reporting your compliance team files as evidence.
You do, through your governance gates. We detect the need, prepare the evidence, and execute the change once approved, with full validation documentation. The cadence is governed and predictable, which is what distinguishes managed models from drifting ones.
The systems are watched hardest exactly then. Surge conditions shift input distributions fast, so we monitor triage and fraud behavior in near real time during events, with SLAs on response if quality moves, because a mis-triaged surge is both a customer and regulatory problem.
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Bring Managed AI Services to your insurance team
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