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Your AI cannot read a claim file. We make it AI-ready.

A 200-page submission, a box of claim photos and estimates, a 2,000-page medical record, a demand letter with a deadline inside it. Insurance runs on documents that someone still reads and re-types by hand. We read them — and turn them into clean, checked, page-traced data your underwriters, adjusters and AI can trust. Risks are scored before they are opened, claims arrive decision-ready, and nothing leaves your environment.

Runs in your environment Every value traced to its page Adjusters and underwriters approve the important steps
UNDERWRITING CLAIMS Broker submissions SOVs & loss runs Inspection reports Policy wordings FNOL packs & photos Estimates & invoices Medical & demands One pipeline READ · EXTRACT · CHECK AN ADJUSTER OR UNDERWRITER APPROVES ↗ Rating / UW Policy admin Claims core Fraud / SIU Copilots EVERY VALUE LINKS BACK TO ITS SOURCE PAGE
Two document streamsOne source of clean data
< 4 min
From broker inbox to an appetite-scored, quote-ready risk
Underwriting
Hours
From FNOL to a decision-ready claim file, not one to three days
Claims
Every field
Scored, checked against the policy and linked to its page
Both
0
Policyholder, claimant or medical records leave your environment
Both
The problem

Where the work slows down.

Six places where people still read and re-type documents by hand. Some belong to underwriting, some to claims, and some hurt the whole carrier.

UnderwritingClaimsBoth
Underwriting

Submissions arrive in no fixed shape

A commercial property submission runs 200+ pages: broker email, ACORD forms, SOV, five years of loss runs, inspections. An underwriter handles 30–50 a week and reads each one by hand to find out whether it is even in appetite.

Good risks time out in the queue and bind elsewhere
Claims

Claim files are assembled by hand

Photos, estimates, invoices, recorded statements and police reports are chased, indexed and keyed before anyone can decide anything. Adjusters spend one to three days per file just getting to the starting line.

Most of an adjuster's day is data entry, not adjusting
Claims

Medical and legal packs are unreadable at volume

A bodily-injury file can hold 2,000 pages of records and bills. Demand letters carry a time-limit clause that is sometimes read after it has expired.

Days of nurse-review time, and bad-faith exposure
Both

Money leaks between the pages

Coverage, limit and duplicate-invoice errors are found in audit, after payment. Industry benchmarks put leakage at 5–10% of claims paid; on the underwriting side, loss-run data never reaches the pricing model.

A combined ratio carrying costs nobody can see
Both

Every line of business rebuilds the pipeline

Auto, property, workers' comp and specialty each have their own OCR templates, vendors and exception queues. A new estimate format or carrier loss-run layout breaks the old rule silently.

Dozens of parsers, and a new form is a new project
Both

The examiner now asks to see your working

The NAIC AI bulletin and the EU AI Act expect a carrier to show how an AI-assisted underwriting or claims decision was reached. Today that answer is reconstructed by hand, weeks later.

Lineage is now a regulatory requirement, not a feature
The documents

The documents we read.

Start with the one that costs you the most time today. That is where a pilot starts.

Underwriting & policy

Submission desks, underwriting, product, servicing
Broker submissionsCover emails, ACORD 125/140, supplementals, expiring policies — in any shape a broker sends.
Statements of valuesSpreadsheets and scans: TIV by location, construction, occupancy, protection class.
Loss runsFive years of carrier-formatted PDFs, every one laid out differently.
Inspection & engineering reportsPhotos, narrative, sprinkler reports, recommendations.
Policy wordings & endorsementsStandard forms, manuscripts, certificates — deviations detected clause by clause.
Regulator notices & bordereauxComplaints, exam requests, reinsurance statements and treaty schedules.

Claims

FNOL, adjusting, injury, litigation, recovery
FNOL packsPortal forms, call transcripts, broker emails and adjuster notes, typed free-form.
Photos & damage evidencePhone photos, drone imagery, body-shop scans — oriented, grouped and captioned.
Estimates & invoicesRepair estimates, contractor and vendor invoices — line items, totals and duplicates.
Medical records & billsChronologies, diagnoses, CPT/ICD lines, IME reports, billed vs reasonable.
Demand letters & pleadings Deadline riskTime-limit demands, complaints and discovery — dates and theories extracted on arrival.
Subrogation & recovery packsLiable-party evidence, police reports and correspondence with limitation dates.
How it works

Five steps from document to data.

One pipeline, the same for both lanes, inside your environment. A document becomes usable data at step three and trusted data at step four.

AS IT ARRIVES READY TO USE USABLE → TRUSTED → 1 2 3 4 5 IngestCleanClassifyGovernServe
IngestConnectors reach the claims system, broker inbox, DMS, vendor portals and call recordings. Nothing is uploaded anywhere.
Out: one catalogued, de-duplicated queue
CleanPhotos, scans, faxes and PDFs made readable with tables, stamps and signatures kept in place. Most tools stop here.
Out: clear text, illegible pages flagged
ClassifyDocument type first — estimate, ACORD, demand — then the fields typed onto your claim or risk schema.
Out: policy no., loss date, TIV, amounts, parties, clauses
GovernEach value checked against the policy, limits, party master and fee schedule; PHI masked; a confidence score on every field.
Out: low-confidence fields go to an adjuster or underwriter
ServeClean data lands where it is needed, with its lineage.
Out: rating, policy admin, claims core, SIU, copilots, audit

Reading a document is not the same as trusting the data in it. That is why step four exists, and why a named adjuster or underwriter signs off on anything that moves money or coverage.

Inside the layer

How one claim file becomes a governed record.

Specialist agents read text, tables, photos and audio into one artifact. Every field gets a score. A threshold your claims leaders set decides whether an adjuster ever needs to touch it.

Today: the relay race

six hand-offs per claim
FNOL Collect Index Read & key Validate Decide & pay no fixed shapechased by hand100% touched1–3 dayspost-payment5–10% leakage SIX TEAMS · FORTY-PLUS HAND-OFFS · EVERY RULE BREAKS ON A NEW FORMAT

With the layer: one artifact, one gate

~5% touched
Text agent Table agent Image agent Audio agent One claim record SCORE ON EVERY FIELD ≥ 0.95? Published Adjuster ~95% STRAIGHT THROUGH

Exhibit · the confidence gate

claim 2026-CL-04817 · auto collision
Field → your schemaValue & sourceConf.
policy_numberPA-7741-2208 · FNOL email0.99PASS
loss_date2026-06-14 · police report p.10.99PASS
coverage_triggerCollision · policy §3.2 in force0.98PASS
estimate_total$8,412.60 · estimate p.3, line 410.97PASS
vendor_idAce Auto Body → VENDOR #22310.96PASS
injury_reportedNo · recorded statement 04:120.95PASS
liability_shareambiguous — two narratives, stmt p.2 vs report p.30.81HOLD
1,178 / 1,240documents straight through, no human touch
62routed to an adjuster, with page and box
100%lineage on published fields

Threshold 0.95 — set per field and per document type by your claims and risk leaders, not by us. The gate sits in front of the claims system, never behind it, and every adjuster correction retrains the agent that made the error.

Results

What you get.

One source of clean data that every team, model and agent can use — with an audit trail behind every number.

Risks scored before they are opened

Appetite, completeness and TIV typed in minutes; broker gaps returned as a structured request. The underwriter opens a decision, not a pile.

Claims arrive decision-ready

Coverage, limits, deductible and duplicate checks run before payment. The adjuster touches the 5% that needs judgement.

Medical packs summarised in hours

Chronology, coding, treatment gaps and bill review, every figure linked to its page. Time-limit demands queued on arrival.

Loss runs and SOVs reach the pricing model

Five-year loss triangles and location schedules land on the rating schema instead of staying inside PDFs.

Recoveries found, notices owned

Subrogation candidates surfaced with evidence and limitation dates; regulator notices typed to action, deadline and affected policies.

An audit trail for the examiner

Every value shows which document, page and box it came from, which threshold applied, and who signed off.

How much runs without a person

typical targets
Estimates & invoices
96%4% reviewed
Auto & property claim packs
95%5% reviewed
Loss runs
95%5% reviewed
Regulator notices
94%6% reviewed
Statements of values
93%7% reviewed
Policy wordings
92%8% reviewed
Medical records & bills
90%10% reviewed
Broker submissions
88%12% reviewed
Demand letters & pleadings
86%14% reviewed

The rest is not failure. It is the small share an adjuster or underwriter checks, with the source page already open. Your actual numbers are measured on your own files during a two-week discovery.

The same work, measured side by side

today vs. once mastered
MetricTodayTarget
Submission to appetite decisionhours – days< 4 minutes
FNOL to decision-ready claim file1–3 days< 2 hours
Documents touched by a person100%5–12%
Claims leakage, share of paid5–10%−2 to −4 pts
2,000-page medical record summary3–5 dayshours
Parsers per line of businessdozens1 layer
Examiner document request~30 days, by handdays, on demand
The regulator

An examiner will ask how your AI reached the decision.

The NAIC Model Bulletin on AI is adopted in 24 states and DC, its AI Systems Evaluation Tool is being piloted by examiners in twelve, and the EU AI Act treats insurance pricing and claims as high-risk. They ask for the same evidence. The layer produces it as a by-product of doing the work.

What the examiner asks for
01
A written AI Systems ProgramAn inventory of every AI system in underwriting, pricing, claims, fraud and servicing — and who owns each.
02
Sample case filesHow AI outputs contributed to a specific decision: input, model, threshold, human sign-off.
03
Testing and bias evidenceValidation against a ground-truth set; error and unfair-discrimination testing, repeated after change.
04
Third-party oversightVendor models remain the insurer's liability — audit rights and documented review.
05
Documents within 30 daysGovernance records, monitoring and audit activity, produced on request during a market-conduct exam.
How the layer answers PUBLISHED FIELDWHAT STANDS BEHIND IT estimate_total = $8,412.60 CLAIM 2026-CL-04817 · PUBLISHED 2026-06-16 14:02 · CONF 0.97 · THRESHOLD 0.95 Sourceestimate.pdfp.3 · line 41 · box Model & versiontable-agent v4.2in your account Checks run= line items · ≤ limitno duplicate hash Human gatenot required (≥ 0.95)policy v12, signed by you
  • Field-level lineage — file, page, bounding box and score on every published value, exportable per case.
  • Thresholds in writing — confidence and approval limits are versioned configuration; the AIS Program documents itself.
  • A named person on every gate — decision, reason and timestamp are part of the record.
  • Ground truth your experts signed — accuracy scored against a set your SMEs labelled from your own estate.
  • Zero third-party exposure — no page reaches an external model provider; PHI masked before indexing.
07 / Trust

Built by gothink.ai. Runs inside your environment.

This system reads policyholder, claimant and medical documents and writes to your core. It belongs inside your walls, not on someone else's servers.

Your data stays with you

Your cloud, your access controls, your keys

Our software comes in; your documents never go out. Guidewire, Duck Creek, Majesco or mainframe — read in place, written back.

  • No outside AI provider sees a page or a photo.
  • PHI and PII masked at the govern stage, before indexing.
  • Nothing you process trains our models.
  • Air-gapped deployment changes nothing but what connectors can reach.
More than text recognition

Basic OCR gives you text. We give you checked data.

Traced to its source, scored against the policy and your rules, and better over time.

TextOCR
FieldsExtracted
TracedTo the page
CheckedRules
LearnsOver time
Small steps, your decision

Each phase ends with a measurable result

Value in weeks, the whole estate in a quarter. You decide whether to continue at every gate.

Discover2–3 wks
Design2 wks
Pilot4–6 wks
Scale6–10 wks
Operateongoing