ACORD integration,
from the forms to the formats behind them.

• Form extraction: every field on an ACORD 125/126/130/140 — applicant, schedules, class codes, limits, additional interests — pulled into structured data, whether the PDF is digital or a scan of a fax.
• Form generation: clean, compliant ACORD forms produced from your structured data — the reverse direction, for submissions and renewals.
• AL3 pipelines: parsing and producing the batch format carriers exchange through IVANS — policies, commissions, documents.
• ACORD XML / real-time messaging where carriers and rating partners support it.
• The mapping layer that matters most: one canonical application model translated into each carrier’s portal fields, API payloads, or form variants.

• ACORD forms have editions. A 126 from 2016 and one from last year don’t lay out identically — extraction has to be edition-aware or accuracy quietly decays.
• Scans are the real world: faxed, photographed, re-scanned forms need OCR with field-level confidence, not a generic PDF parser.
• A perfect extraction is only half the job — carriers ask questions the form never asked, so the mapping layer has to handle enrichment, not just translation.
• AL3 and ACORD XML are licensed standards with per-carrier variance; building against the spec alone is how projects miss by 20%.
• Compliance context (state forms, carrier-specific supplements) rides along with the ACORD set — pipelines need somewhere to put it.

ACORD form extraction (125 / 126 / 130 / 140)

Production-grade extraction across the commercial set — applications, GL schedules, workers’ comp ratings, property schedules — with per-field confidence and human-review queues where it counts.

ACORD → carrier portal pipelines

The build behind our acord-to-portal product: one extracted application feeding submissions into Progressive, Travelers, Hartford, and the rest — class codes mapped, limits placed, underwriting questions answered from the data you have.

Form generation & prefill

ACORD packets generated from your AMS, CRM, or intake data — including the prefill-from-federal-data trick our free DOT-to-ACORD tool demonstrates on every run.

AL3 parsing & production

Carrier download files turned into clean JSON, and outbound AL3 produced where your distribution requires it. Pairs with our IVANS integration work.

Canonical application model

The architecture piece that makes multi-carrier real: one normalized model of the risk, with per-carrier mapping rules isolated so a portal change is a mapping edit, not a rebuild.

Validation & E&O guardrails

Field-level validation, required-by-carrier checks, and audit trails on every transformation — because a transposed limit is not a typo in this business, it’s an exposure.

Scoping call.

Bring the integration you wish existed. We tell you what the platform genuinely allows, what we’d build, and what it costs — on the call, not in a proposal three weeks later.

A build lead joins your Slack.

A named engineer who has shipped against this platform before — not a recruiter, not a PM. They confirm access and credentials, then start on the thinnest end-to-end slice.

First demo on your real data.

Not a slide. The integration running against your live environment — your policies, your clients, your edge cases. You click around and we keep going until it’s right.

It keeps running. We keep watching.

APIs version, portals change, schemas drift. Monitoring and fixes are in the flat fee — most clients learn something broke from our Slack message that says it’s already fixed.

How accurate is the form extraction on scanned ACORDs?

High enough to run production submission pipelines — because we don’t pretend OCR is perfect. Every field carries a confidence score; low-confidence fields route to a human review step instead of silently flowing downstream. On clean digital PDFs, extraction is effectively lossless; on rough scans, the review queue earns its keep.

Can you handle the supplemental and state-specific forms, not just the core 125?

Yes. The commercial set rarely travels alone — GL schedules on the 126, workers’ comp on the 130, property on the 140, plus carrier supplements and state forms. The pipeline treats the packet as one risk, not one file, and the mapping layer knows which carrier wants which piece.

Is this an API we integrate with, or a service you run for us?

Either. Some clients want an endpoint — send a PDF, get JSON — wired into their own product. Others want the whole workflow run end-to-end: extraction, mapping, portal submission, status back. Both are the same engine underneath; the scoping call settles which shape fits.

We already have the data structured — we just need ACORD forms generated. Do you do the reverse direction?

Yes. Generation from structured data is the cleaner half of the problem, and it’s how renewals and BOR changes should work: data in your system, forms produced on demand, nobody retyping into fillable PDFs.

How is this different from generic document-AI tools?

Generic IDP tools read documents; they don’t know that a GL class code must map to a different code system per carrier, or that the 130’s rating section drives premium. The value is insurance-specific: edition awareness, the canonical risk model, and the carrier mapping layer — which is exactly the part generic tools leave as an exercise.

What does it cost?

Flat $2,499 or $4,499 per month depending on volume, month to month, cancel anytime. Want proof before a call? Run the free ACORD autofill tool — it’s this stack, public, on your own DOT number.