FNOL intake
Capture first notice of loss from any channel into clean, structured claim data.
Minutes, not hours, to first action
Use case · By industry
Automated Insurance Claims Triage & FNOL Processing
Automate First Notice of Loss (FNOL) intake, claims triage, and subrogation detection inside Guidewire and Duck Creek.
Automated claims triage uses AI to read FNOL documents — police reports, medical bills, photos — the moment a claim arrives, classify severity, route it, and flag subrogation, directly on top of Guidewire or Duck Creek. Faster, more consistent triage means a better loss ratio without adding adjusters.
The problem
FNOL speed dictates your loss ratio
The clock on a claim starts at First Notice of Loss, and every hour it sits in a manual intake queue widens your loss ratio. As volume rises, cycle times stretch, claims leakage grows, and adjusters spend their day sorting, re-keying, and chasing documents instead of resolving claims. The bottleneck isn’t adjuster skill — it’s the manual handling wrapped around every claim before a human can even make a decision.
Automating intake and triage attacks that directly: the claim is read, classified and routed the moment it lands, so adjusters open a prioritised, structured file instead of a pile of unread attachments — and the simple, clean claims move through touchless while complex ones reach a specialist faster.
- FNOL intake handled manually across channels
- Claims sitting in a queue before first action
- Severity assessed inconsistently by adjusters
- Subrogation opportunities missed across the book
- Cycle times stretching as volume grows
- Re-keying between core systems
The solution
Where automation removes the friction
Claims triage & routing
AI scores severity and routes each claim to the right adjuster inside Guidewire or Duck Creek.
Faster cycle time per claim
Subrogation detection
Recovery opportunities are flagged automatically across the whole book.
Recovered revenue that used to slip
Automated FNOL intake & claims triage
We parse the real documents a claim arrives with — police reports, medical bills, repair estimates, photos and the loss-notice itself — extracting the facts into structured fields rather than leaving them as attachments. The system then triages on severity and complexity and routes accordingly: fast-track the low-complexity claims, escalate high-severity or potential-litigation files, and flag the ones that need an experienced adjuster. Triage that took a queue and a day happens in real time, consistently, on every claim.
Fraud signals & subrogation detection
The same extracted, structured data lets the system surface what manual review misses under volume pressure. It flags fraud and SIU indicators — inconsistencies across documents, suspicious patterns — for investigation before payout, and it scans unstructured claim data for subrogation opportunities so recovery dollars aren’t left on the table because no one had time to read the file closely. Both are pure leakage-recovery: money the manual process loses simply because there aren’t enough hours.
Built on Guidewire & Duck Creek — not a replacement
We don’t ask you to rip out your core system. The automation layers directly onto Guidewire ClaimCenter and Duck Creek, with triage and routing rules tuned to your specific lines of business — auto, property, workers’ comp, liability. Adjusters keep working in the tools they know; the AI does the reading, extraction and sorting underneath, feeding clean data into the workflows they already run.
Human adjusters on the consequential calls — with a full audit trail
Coverage decisions, reserves and settlements stay with your adjusters — the automation accelerates the work up to those judgement points, it doesn’t replace them. Classification runs against rules tuned to your historical claims, low-confidence items route to human review, and every extraction traces back to its source document for audit and regulatory defensibility. Accuracy improves as the system sees more of your claims.
Example workflows we build
- Automated FNOL intake & document parsing
- Real-time claims triage & severity-based routing
- Police report, medical bill, estimate & photo extraction
- Fraud / SIU indicator detection
- Subrogation opportunity detection
- Guidewire ClaimCenter & Duck Creek integration
The results
The commercial impact
Real-time
FNOL intake & triage the moment a claim lands
Guidewire
Built on ClaimCenter / Duck Creek — no replacement
↑ Recovery
Surfaces subrogation opportunities humans miss
Weeks
Typical time to go live, not months
Fixed-price
Scoped to outcomes, ROI agreed up front
Human-in-loop
Review on exceptions, full audit trail
Our approach
From manual to automated
- 01Map your claims flow
We document FNOL intake, triage rules, and routing across your lines of business.
- 02Build on your core system
We layer AI extraction and triage onto Guidewire/Duck Creek without disrupting adjusters.
- 03Tune & validate
We test against real claims and tune classification, fraud, and subrogation rules to your data.
- 04Deploy & measure
Go live and track FNOL cycle time, touchless triage rate, recovered subrogation, and flagged fraud.
Why a custom build beats off-the-shelf
- Layers onto Guidewire/Duck Creek — adjusters keep their existing tools.
- Triage rules tuned to your lines of business, not a generic engine.
- Reads the messy real-world docs (police reports, photos) off-the-shelf tools choke on.
Frequently asked questions
Do we have to replace Guidewire or Duck Creek?
No. We build automation layers on top of your existing core systems, so your adjusters keep working in the tools they know.
What documents can the triage system read?
Police reports, medical bills, estimates, and claim photos — structured and unstructured. We tune extraction to your specific lines of business.
How is ROI measured for claims automation?
We track FNOL cycle time, touchless triage rate, and recovered subrogation dollars, and report against the targets agreed before the build.
How accurate is automated triage?
Triage runs against rules we tune to your historical claims, with human review for edge cases — accuracy improves as the system sees more of your data.
How long does it take to deploy?
Most builds go live in 4–6 weeks, depending on the number of lines of business and integration points.
What does it cost?
Engagements are fixed-price and scoped to the outcome. Every engagement is fixed-price with ROI targets agreed up front, backed by our 90-day ROI guarantee. Book a discovery call. for a clear price and ROI estimate.
Related use cases & services
Ready to put Insurance Claims Triage Automation to work?
15 minutes to see if this is worth building for you — no pressure if it isn't.
Book a Discovery Call.