Microsoft 365 Copilot for underwriting and claims teams, Copilot Studio agents grounded in your underwriting guidelines and claims procedures. Generative AI that respects GLBA, your customer NDAs, and the explainability your compliance team will demand.
The bottleneck in insurance back-office work isn't email. It's that an underwriter handling a complex commercial submission has to read 80 pages of broker-supplied documentation, find similar accounts in the loss history, check appetite guidelines by line and territory, look up the latest reinsurance treaty terms, and decide whether to quote — all in the 48-hour window before the broker shops the account elsewhere. A claims adjuster handling a serious bodily injury claim has to read medical records, prior treatment history, jury verdict research, and policy language — and decide a reserve. Generic Copilot helps neither, because it isn't grounded in any of the source material that matters.
Insurance Copilot success requires three things: a content layer with your underwriting guidelines, claims procedures, policy forms, endorsement library, and historical loss data ingested into a vector store with proper metadata; Copilot Studio agents scoped to roles (commercial UW, claims adjuster, compliance analyst, producer service rep) with explicit citations; and security boundaries that respect GLBA, state-by-state privacy rules, and the customer NDAs in your reinsurance treaties. Done with that discipline, Copilot becomes a force multiplier for the underwriting and claims teams. Done casually, it leaks PII or generates confident-sounding hallucinations about coverage.
Copilot Studio agents grounded in your appetite guidelines, rate plans, and historical loss data. Helps the UW assess a submission against guidelines, find similar accounts, and surface the relevant treaty terms — without replacing the UW's judgment or their accountability for the bound risk.
Agents that help adjusters summarize medical records, locate relevant policy language, find similar past claims for reserving guidance, and draft routine correspondence. Cites every source. Refuses to recommend reserve amounts directly — that decision stays with the adjuster.
Agents for compliance analysts that search NAIC model laws, state DOI bulletins, and your internal procedures for the right answer to a regulatory question. Cuts research time on routine compliance questions while preserving the compliance officer's accountability for the final decision.
Microsoft Copilot rolled out for insurance impact: content ingestion from underwriting guidelines, claims procedures, policy forms, and historical data; Copilot Studio agents scoped by role with explicit citations and refusal patterns; GLBA / 23 NYCRR 500 / customer NDA security boundaries via Microsoft Purview; adoption metrics tied to underwriting and claims cycle time; and the change management that makes the UW and claims teams trust it.
The full Microsoft Copilot Consulting practice across industries.
All insurance technology services from Xylity.
Industry-specific consulting across the verticals we serve.
Through Microsoft Purview sensitivity labels, scoped Copilot Studio agents that only access labeled content the user has rights to, DLP policies blocking specific information types (SSN, medical, financial), and conditional access based on user role. The architecture matters enormously — we design the content boundaries before turning Copilot loose.
No, and we wouldn't deploy it as if it would. The accountability for binding a risk or paying a claim has to stay with a licensed professional. Copilot accelerates the research, summarization, and drafting work that surrounds those decisions — freeing UW and adjusters to focus on judgment. The carriers that get this balance right see meaningful productivity gains; the ones that don't get burned.
Yes. Pre-qualified Copilot Studio developers and Microsoft 365 architects with insurance domain experience and Microsoft Purview / GLBA compliance fluency. 4-stage consulting-led matching, 92% first-match acceptance.
Grounded in your guidelines, scoped to roles, and built to cite sources — not a chatbot let loose on your loss data.