AI for insurance companies and brokers.
Submissions, claims, policy servicing, renewals — insurance runs on documents and deadlines. We automate the paper path and keep underwriting and claims judgment with your people.
How is AI used in insurance operations? Insurers, MGAs, and brokers apply AI to submission intake (extracting ACORD forms, loss runs, and schedules into structured data), claims intake and document classification, policy-servicing workflows, renewal preparation, compliance checks, and client reporting. Implemented with audit trails and human review at defined checkpoints, these applications shorten quote turnaround and claims cycle times without moving underwriting or coverage judgment away from licensed professionals.
The challenges we see
Submissions arriving as unstructured PDFs, keyed by hand
Loss runs and schedules re-typed into rating systems
Claims documents classified and routed manually
Renewal packs assembled from scattered systems
Compliance checks inconsistent across desks
Brokers spending selling hours on servicing admin
Where AI pays off
Submission intake automation
ACORD forms, loss runs, SOVs extracted into structured data with confidence scoring; underwriters review exceptions, not retype everything.
Claims intake & routing
FNOL documents classified, key facts extracted, and files routed to the right adjuster with a summary attached.
Policy servicing workflows
Endorsements, certificates, and audits moved from inboxes to tracked flows with owners and SLAs.
Renewal preparation
Renewal packs assembled automatically from policy, claims, and billing systems — weeks earlier.
Compliance & documentation checks
Completeness and rule checks at intake, with audit logs your compliance team can demonstrate.
Book-of-business visibility
Live dashboards on submissions, quote turnaround, hit ratios, and servicing backlogs.
How an engagement runs
Engagements follow the Olyra 120: baseline and quick wins inside the first month, a pilot on the highest-value workflow by day 60, production build by day 90, measured results by day 120. Regulated-data handling is designed in from day one.
Why Olyra for insurance
Insurance operations combine high document volume with regulatory scrutiny — exactly the profile where governed automation pays. We design with your compliance function from phase one, every extraction is confidence-scored and logged, and licensed judgment stays with licensed people. Carrier, MGA, and brokerage workflows differ; discovery maps yours specifically.
Insurance FAQ
Can AI make underwriting or claims decisions?
Not in our implementations. AI prepares — extracts, classifies, summarizes, checks completeness — and licensed professionals decide. That boundary is enforced in the workflow design, with hard review gates on anything bearing coverage, pricing, or settlement judgment, and it's why compliance teams approve these projects.
We run on legacy policy admin systems. Workable?
Usually, yes. Legacy PAS platforms rarely have clean APIs, but there is almost always a safe integration path — exports, database views, or narrowly-scoped automation. Discovery establishes what's reachable before we commit to a design; replacing your PAS is never a hidden prerequisite.
What's the typical first win?
Submission intake for brokers and MGAs; claims document classification for carriers. Both are high-volume, rule-heavy, and measurable in days saved per file — the Audit quantifies your specific volumes in two weeks.
Find out what AI can actually do for your operations.
Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.
Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.