Cost · MGAs & Specialty P&C
ACORD Form Extraction AI for Specialty P&C
Turn ACORD packets and loss runs into structured workbench data in minutes, with page citations your underwriters can trust.
Primary search: ACORD form extraction AI
The problem
Every submission still becomes a re-key exercise. Errors land in rating. Cycle time dies in data entry.
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
- 01Classify packet types (ACORD, loss run, supplemental)
- 02Extract limits, endorsements, and loss history into your schema
- 03Flag missing fields and confidence gaps for human fill
- 04Push clean records into the PAS or underwriting workbench
Outcome
Faster quotes with fewer re-key errors. Associates review exceptions, not every field.
KPI: Cost
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
- ACORD form extraction AI
- loss run extraction insurance
- policy submission document intelligence
Related insights
Frequently asked questions
How long does it take to ship acord & loss-run extraction?
Most acord & loss-run extraction mandates target a 6–10 week production deploy after a short diagnostic. Week one locks the KPI (cost) 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 ACORD form extraction AI 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.