Operator vertical
Production AI for MGAs & Specialty P&C
Submission intake, ACORD extraction, claims fraud, and quote-to-bind acceleration for $30–200M GWP MGAs, without replacing the policy admin system.
Built for: CUO, Head of Claims, or COO at a $30–200M GWP MGA
What breaks before AI
- Underwriters open junk submissions before anyone scores the file
- ACORD and loss runs are re-keyed into the workbench by hand
- FNOL sits in queue while leakage walks out the door
- Quote-to-bind is measured in days brokers will not give you
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.
Workflow pages operators search
Each page owns a specific job-to-be-done query. Start with the bottleneck that hurts this quarter.
Submission intake automation
Search: submission intake automation MGA
Score, extract, and route submissions before an underwriter opens the PDF pile—without replacing your policy admin system.
ACORD & loss-run extraction
Search: ACORD form extraction AI
Turn ACORD packets and loss runs into structured workbench data in minutes, with page citations your underwriters can trust.
Claims fraud scoring
Search: insurance claims fraud detection machine learning
Score every claim as it arrives so leakage stops before payout—not after SIU backlog.
Quote-to-bind acceleration
Search: quote to bind automation insurance MGA
Compress submission-to-quote with extraction, appetite scoring, and underwriter copilots that sit next to binding authority.
Business outcomes AI can move
- Decline junk submissions before underwriter hours are spent
- Cut quote-to-bind cycle time on surplus and specialty lines
- Stop leakage before payout, not after SIU backlog
- Raise STP rate on low-complexity claims without dropping accuracy
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Revenue
Underwriting risk models
Explainable risk signals that sit next to binding authority, so you bind more at the right premium instead of defaulting to the safe rate.
Cost
Policy & ACORD document intelligence
Extract endorsements, limits, and exclusions in minutes. Faster quotes win more brokered business.
Risk
Claims fraud scoring
Score every claim as it arrives using the sub-second fraud pipeline pattern we shipped at federal transaction scale.
Cycle time
Submission intake agents
Classify, extract, and route submissions so the desk sees a scored file, not a PDF pile. Same document-intel pattern we run on regulated stacks.
Production use cases
- Submission triage before an underwriter opens the file
- ACORD and loss-run extraction into the workbench
- Claims fraud scoring at FNOL
- Straight-through processing on low-complexity claims
How to engage
Start bounded. Scale only when 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.
Frequently asked questions
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.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
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.