Risk · MGAs & Specialty P&C
Insurance Claims Fraud Detection with Machine Learning
Score every claim as it arrives so leakage stops before payout, not after SIU backlog.
Primary search: insurance claims fraud detection machine learning
The problem
Fraud and leakage are found weeks late, if at all. Adjusters treat every FNOL the same. STP never leaves the roadmap.
Same fraud-pipeline and document-intel patterns we shipped at federal transaction scale, scoped to your PAS and inbox, not a core-system rip-and-replace.
Buyer: CUO, Head of Claims, or COO at a $30–200M GWP MGA
How we ship it
- 01Score claims at FNOL with explainable risk signals
- 02Route low-risk files to STP candidates
- 03Escalate high-risk to SIU with evidence packs
- 04Measure lift on loss ratio and adjuster hours, not model vanity metrics
Outcome
Stop leakage before settlement. Keep adjusters on the hard files.
KPI: Risk
How to engage
Start bounded on this workflow. Expand only after the KPI moves.
Claims fraud diagnostic
From $7,50048–72h read of FNOL flow, leakage signals, and STP candidates.
Scoped production mandate
From $15kIntake, extraction, or fraud scoring live in your stack in 6–10 weeks.
Embedded partnership
From $25k/moOngoing underwriting and claims AI with your desk, your cloud, your IP.
Related searches this page covers
- insurance claims fraud detection machine learning
- FNOL automation
- straight through processing insurance claims
Related insights
Frequently asked questions
How long does it take to ship claims fraud scoring?
Most claims fraud scoring mandates target a 6–10 week production deploy after a short diagnostic. Week one locks the KPI (risk) and data sources; we redirect if a simpler path wins.
Do we have to replace our existing systems?
No. We orchestrate against the systems you already run. The first mandate is insurance claims fraud detection machine learning in your stack, not a platform rip-and-replace.
How is this different from buying another SaaS tool for MGAs & Specialty P&C?
You own the code, evals, and models in your cloud. SaaS adds another login; we ship a production workflow your team operates with the Production Standard contracted in writing.
Do we have to rip out our policy admin system?
No. We orchestrate against the PAS and the submission inbox you already have. The first mandate is intake, extraction, and scoring, not a core-system replacement.
How is this different from an insurtech platform?
You own the code, the evals, and the models in your cloud. We are not a multi-tenant underwriting workbench. Scoped production in 6–10 weeks, then your team runs it.
How do you scope AI for our industry?
Week-one discovery locks business KPIs (revenue, cost, risk, or cycle time), not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.