AI deployment cut from 6 months to 30 days at a global insurer
Secure, ready to use cloud environments took the insurer from a four to 6-month setup to a 30-day path to live AI, across underwriting, claims, and risk.
The Opportunity
A global insurer was rolling out AI across underwriting, claims, and risk, but its ambitions were outpacing its older infrastructure. Models were slow to train, experiments were costly, and scaling across a regulated, cost conscious business was hard.
It needed a fast, well governed path to putting models live.
The Transformation
Standardized, secure cloud environments arrived ready to use, with governance and production ready architecture built in.
What used to take months now takes thirty days, and models ship faster, cheaper, and sharper.
Cloud Environments, Ready on Arrival
These secure, standardized environments came with governance and production ready architecture built in. AI work no longer waits on older infrastructure.
Months to 30 Days
Time to AI readiness dropped from four to 6 months to 30 days, helping the insurer scale AI across a regulated, cost conscious business.
Faster, Cheaper, Sharper Models
Deployment is 50% faster, costs are 30% lower, and accuracy is 30% sharper across underwriting, claims, and risk.
Built to Scale
What worked for one team now extends across the whole business. The insurer adds new AI use cases on a proven foundation, with no rebuild and no rework.
Models deployed within policy, zero ungoverned deployments
Improvement in underwriting model accuracy
Faster model deployment, from experiment to live
Audit prep time cut from weeks to days