Insurance  /  AI for Claims Processing
Insurance · Claims

AI for insurance claims processing

How insurers use decision intelligence to automate routine claims, prioritize complex cases, and cut turnaround time, without losing oversight.

2.1d
Average turnaround with AI triage, down from 5.4d
41%
Routine claims cleared straight-through
−60%
Manual triage workload
0.91
Precision on top-priority fraud flags
The problem

Most claims teams still triage and route manually. Simple claims wait behind complex ones, fraud indicators are missed, and turnaround stretches for days, driving up cost and frustrating customers exactly when experience matters most.

Why it matters

Claims are the moment of truth for an insurer. Faster, more consistent decisions lower loss-adjustment expense, improve retention, and free skilled handlers to focus on the cases that genuinely need judgment.

How AI helps

A decision layer over your claims workflow

Classify & triage

Score every incoming claim by complexity and risk the moment it lands.

Automate the routine

Straight-through process low-risk claims; route the rest to the right handler.

Surface fraud early

Flag anomalies for SIU before payout, with evidence for investigators.

Read documents

Extract structured data from forms, photos, and PDFs automatically.

Predict severity

Estimate exposure early to support reserving and prioritization.

Support handlers

Generate concise case summaries so decisions are faster and consistent.

Data required
Historical claims with outcomes
Policy and coverage details
Claim documents (forms, photos, reports)
Handler notes and decisions
Fraud / SIU case history
Expected outcomes
Faster claims turnaround
Lower loss-adjustment expense
Earlier, more consistent fraud detection
Better customer and NPS outcomes
Handlers focused on high-judgment cases
Example implementation roadmap

From pilot to production in four steps

STEP 1

Roadmap

Quantify the opportunity and pick one line of business to pilot.

STEP 2

Pilot

Deploy triage and routing on a single claim type with a holdout.

STEP 3

Measure

Track turnaround, workload, and fraud catch against the holdout.

STEP 4

Scale

Expand across lines and add document AI and severity prediction.

Frequently asked questions

How long until we see results from claims AI?

A focused pilot on one claim type typically shows turnaround and workload improvement within the first processing cycle, with full ROI visible after a holdout comparison.

Do we need to replace our claims system?

No. OKEMA reads from your existing claims platform and writes triage, routing, and recommendations back into the queues your handlers already use.

Does AI decide claims on its own?

It automates clearly routine, low-risk claims and routes everything else to handlers with decision support. Complex and high-risk claims always stay with people.

What data do we need to start?

Historical claims with outcomes, policy details, claim documents, and handler decisions are enough to build and validate the first models.

See what claims AI is worth on your book

Run the numbers in two minutes, or book a call to map the highest-value first project.