AI underwriting automation for insurance.
Inaza ingests and processes submissions, cuts quote times in half, and reduces underwriting workload by 90%. Underwriters focus on decisions, not data entry.
- Scope
- Submission → quote
- Workload
- −90%
- Quotes
- 2× faster
Manual underwriting leaks time and premium.
Before a single risk decision, the desk burns hours on data entry — and premium leaks through every manual gap.
- Premium leakage
$30B is lost by US insurers every year to premium leakage — 10% of losses and LAE trace back to it.
- Manual intake
70% of an underwriter's time goes to non-core work: rekeying ACORD forms, chasing documents, cleaning data.
- Slow response
70% of agents expect instant quote turnaround. Manual triage can’t keep pace, and business goes elsewhere.
- Incomplete data
77% of insurers make risk decisions on incomplete data because enrichment is too slow to gather by hand.
Submission to quote, on the three moves.
The same platform that runs every Inaza solution turns raw submissions into decision-ready files — and your team owns every rule.
- 01 · Ingest
Meet submissions anywhere
Email, upload, API, embed or MCP — Inaza captures ACORD forms, SOVs and loss runs the moment they arrive and normalises them into one structured record.
- 02 · Automate
Three agents run the file
Extract pulls 40+ fields, Enrich calls Verisk and LexisNexis for a complete risk view, and Review applies your appetite and thresholds — rules your team edits 1:1.
- 03 · Explore
Decision-ready, end to end
Clean data lands in one queryable warehouse. Quote in half the time, then chat, build dashboards, benchmark and forecast across the book.
Automate any underwriting workflow in 15 minutes.
Start from 250+ workflow templates, map your rules once, and go live. No bespoke build, no months-long implementation.
- 01Pick a template
- 02Map your rules
- 03Connect your sources
- 04Go live
Everything the desk needs, automated.
01
Submission intake automation
Emails, PDFs and ACORD forms ingested instantly and normalised into structured data.
02
Document & data processing
Extracts drivers, vehicles, coverage and limits, then enriches with third-party data for a complete risk view.
03
Automated triage & prioritisation
Submissions categorised, scored and routed to the right underwriter — no manual sorting.
04
Real-time risk assessment
Workflows weigh exposures, prior losses and external data to support sharper risk selection.
05
Faster quotes
Clean, decision-ready data lets underwriters issue quotes in half the time.
06
Same team, more business
Cut underwriting time and write more premium without adding headcount.
Numbers the underwriting room actually feels.
- 0%
Reduction in underwriting workload
- 0%
Faster quote turnaround
- 0×
Underwriting capacity
- 0%+
Loss-ratio improvement
- Full auditability — 200+ recorded decision reasons
- 500+ data fields captured per submission
- Region pinning US · EU
Underwriting automation, answered.
What is underwriting automation?+
Underwriting automation uses AI to handle submission intake, document processing and triage so underwriters spend their time on risk decisions instead of data entry. Inaza reads submissions from email, portals and APIs, extracts them into a structured file, and routes each one against your appetite rules.
How much underwriting time does it actually save?+
Teams running Inaza see a 90% reduction in underwriting workload and 87% faster quote turnaround, on roughly 5× the submission capacity with the same headcount. The gain comes from removing rekeying and manual triage — underwriters still make every bind decision.
Can it read ACORD forms and broker email attachments?+
Yes. Inaza ingests ACORD forms, SOVs, loss runs, spreadsheets and free-text broker email, capturing 500+ data fields per submission. A format it has not seen before is handled by the same extraction agents rather than a new integration build.
Who owns the underwriting rules?+
Your team does. Appetite rules, thresholds and referral triggers are editable 1:1 by your own underwriters. There is no bespoke build and no waiting on Inaza to change a rule.
Is every decision auditable?+
Every submission carries 200+ recorded decision reasons, so you can trace why a file was triaged, enriched or referred. Data is region-pinned to the US or EU, PII redaction is on by default, and we never train on your data.
How long before we are live?+
A first workflow is typically live within a week, and a structured PoC runs in four. You start from a template, map your rules, connect your sources and go live.
Automate one underwriting workflow this week.
Structured PoC in 4 weeks — no onboarding cost. Your underwriters keep control of every rule.