Private AI for insurance and actuarial teams
Claims intake, underwriting file preparation and actuarial document work automated on your own infrastructure — with the audit trail regulators and reinsurers expect.
Common deployments
Claims intake & triage
FNOL documents, photos and correspondence parsed into structured claims with severity flags for adjusters.
Underwriting file summarisation
Broker submissions, loss runs and schedules condensed into decision-ready summaries.
Policy document Q&A
Instant answers on wording, endorsements and exclusions with the governing clause cited.
Actuarial document automation
Extraction and reconciliation of data from treaties, bordereaux and statutory filings into analysis-ready tables.
Fraud-signal support
Inconsistency flagging across claim narratives, documents and imagery for SIU review.
Customer correspondence
Compliant drafting of claim updates and policy letters from approved templates.
Compliance posture
- Policyholder data never leaves your regulated environment
- Every extraction traceable to its source passage for audit and reinsurer review
- Human-in-the-loop controls on all decisions affecting customers
- Access mapped to existing entitlements; complete logging to your SIEM
- Fixed-cost processing that scales with claim volume, not per-token fees
Why on-premise here
Public AI endpoints create a data-processing relationship your compliance team must defend. Keeping inference inside your infrastructure removes that transfer entirely: prompts, documents and outputs never leave systems you control, and audit logs live in your own SIEM.
Frequently asked questions
Where does insurance see AI payback fastest?
Document-heavy flows: claims intake, submission summarisation and bordereaux processing. Consistent extraction with confidence scores frees adjusters and underwriters for judgement work, and the volumes make break-even arrive quickly.
Can outputs be used in regulated decisions?
We deploy AI as decision support with human sign-off, full traceability and documented evaluation — the structure regulators expect. Fully automated adverse decisions are out of scope by design.
Does this work with legacy policy admin systems?
Yes. Agents integrate through your existing interfaces and file exports; no core-system replacement is required.