Most insurance AI sits outside your system of record. You export a PDF, upload it somewhere else, get an answer back, then paste that answer into the place it actually belonged. PrismAMS runs the same workflows against data that is already yours. The client, the policy, the claim, the document and the ledger are in one tenant, so the AI does not have to be told what it is looking at.
What's included
Drop in the expiring policy, the new quotes, or both. PrismAMS normalizes across carriers and returns limits, deductibles, endorsements and forms side by side. Three modes: renewal, shopping and audit, because comparing two renewal options is a different question from auditing what actually got bound.
Every difference comes back ranked, so the endorsement that moves E&O exposure is not buried under twelve formatting differences. You read the top of the list, not the whole document.
Surfaces missing and inadequate coverage against the exposures on the account. Because it runs inside the AMS, it can be pointed at a single account or left to run across the book.
Reads dec pages, ACORDs, carrier notices, loss runs and correspondence, classifies them, and pulls structured fields out. Handles scanned and photographed paper, not just clean digital PDFs.
Any two documents, not just policies. Useful for application versus bound, quote versus issued, and this-year versus last-year on anything the carrier sends.
Plain-English questions answered against your live data. Which accounts renew in ninety days with no loss runs on file. Who has GL but no umbrella. Which carrier has quietly taken over a third of your book.
One-page prep for a client meeting, assembled from the policy history, the claims, the open tasks and the last six months of correspondence.
Turns an inbound submission into structured data and routes it, instead of leaving it to be re-keyed off an email.
Reads what your carriers are actually doing across your book: appetite drift, rate movement, and where a market is quietly non-renewing.
Rule-driven and AI-surfaced gaps across the book, scored, so the list a producer opens on Monday is ranked rather than alphabetical.
Reads lost-reason capture and the surrounding history to tell you why business actually leaves, by carrier, producer and line.
A real-time writing assistant inside Outlook. Checks grammar, tone and E&O compliance on the email as it is written, and rewrites on request. Runs as a native Outlook add-in on desktop and web.
Multi-step processes with owners, due dates and triggers, so a renewal or an onboarding runs the same way every time regardless of who picked it up.
How it works
No upload step for anything already in the system. The policy, the client, the claim and the document are in your tenant, so a workflow can be pointed at an account rather than a file.
Queries run through a tenant-scoped procedure at the application layer and row-level security at the database layer. Two independent barriers, not one.
Severity first. The output is designed to be triaged in a minute, not read end to end.
Results attach to the client and policy record, feed tasks, and leave over the REST API if you want them somewhere else.
Why it's different
FAQ
No. Your data is not used to train, fine-tune or improve any model, ours or a provider's. Requests go to the model provider's API, which does not train on API inputs, and we do not retain content for training purposes.
Yes. Extraction and comparison results reference the source document so a reviewer can check the finding against the page it came from rather than taking the model's word for it.
Findings are presented for review, not applied silently. Comparison and gap output is ranked and reviewable, and nothing writes back to a policy record without a person confirming it.
The AI workflows are part of the platform. If you are staying on your current AMS, talk to us about AgencyDesk, which brings a similar workflow layer to agencies running Applied Epic.
30 minutes. We'll walk through your real workflows in a tenant set up for you. No slideware.
