FNOL intake & triage
TodayClaims logged and routed by hand.
OpusCaptures the claim, checks what's missing, routes to the right handler.
Insurance
See where AI pays off in claims and underwriting, before you implement.
Opus builds a live model of how your operation really runs: your Digital Twin, mapped live with your teams. Then it puts AI to work where the value is, with a person on every decision that matters.
Use cases
How insurance teams use Opus
Some examples of the high-volume processes teams hand to Opus, each one live in weeks.
Fraud & abuse screening
TodaySuspicious claims caught late, if at all.
OpusScreens every claim at FNOL, flags anomalies, routes to investigation with the evidence.
Claim validation & adjudication
TodayFiles checked page by page against policy.
OpusValidates the file, interprets coverage, and drafts the decision with rationale for a human to sign off.
AI underwriting assistant
TodaySubmissions read and summarised by hand.
OpusSummarises the submission, retrieves policy wording, drafts a recommendation and rationale.
Application pre-fill
TodayApplications completed field by field.
OpusPre-fills and validates in real time, flags gaps, produces a ready-to-submit application.
Payment & reconciliation ops
TodayPayments and exceptions managed by hand.
OpusExecutes payments, reconciles, and routes only the breaks, with every step logged.
The problem
AI belongs in claims and underwriting. The hard part is where, and what it's worth.
You can see the outputs: cycle times, leakage, loss and combined ratio. What you can't see is the work that produces them. Which steps absorb the most effort, where handlers reach different decisions on similar files, which change would actually move the ratio: none of that is visible in your core systems. So AI programmes start where someone has a hunch rather than where the value is, and the business case gets written after the build instead of before it.
How it works
How it works differently
See the work as it really runs, and know the value of a change before you make it.
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03 · Build, Run, Optimise
Then it rewires the work, not just automates it
This is the part that matters. Opus redesigns the workflow for AI first and then runs it, so you are not doing a flawed process faster. It runs on top of your policy admin and claims systems and sharpens the AI you already have, with a person on every decision that counts, and it learns from every correction, so it keeps improving after go-live.
FAQ
Straight answers.
Is our data secure and compliant?
Built for regulated policy and claims data, deployable in your own cloud, private cloud, or on-prem, with every action logged and auditable.
Does Opus replace our policy admin or claims systems?
No. Opus is an operating layer on top of your existing stack — policy admin, claims and the rest — designed to integrate, not replace.
Are we locked into one AI model?
No. Opus is model-agnostic — use any model, or several.
Will it disrupt live operations?
No. Start with one workflow, run it in parallel with a person in the loop, and scale once it's proven.
Who stays accountable for decisions?
You do. Opus routes exceptions to your handlers and underwriters and logs every step, so control and accountability stay in-house.
Do we keep control over coverage and claims decisions?
Yes. Opus drafts the recommendation and the rationale; a person signs off on every claim and underwriting decision that counts.
See Opus on your Insurance workflow.
Book a working session and we'll map one of your workflows live.