Assessments & Strategies Design & Build Manage & Operate
Agentic AI Computer Vision AI Hybrid Generative AI App Generation AI Conversational AI Predictive AI
KnowledgeIQ DocumentIQ FrontDeskIQ
By Industry
Financial Services Insurance Energy & Utilities Manufacturing Healthcare Retail Transportation Telecommunications Real Estate
By Department
Finance & Accounting Human Resources Information Technology Sales Marketing Customer Service
Insights
Who We Are What We Use Join Us
Let's Talk →
Home/Use Cases/Insurance

AI for Insurance

From form-filled workflows to intelligent decisioning — claims, underwriting, fraud, and service, rebuilt around AI that reads, reasons, and acts.

The Landscape

The carrier that decides faster — and more fairly — wins.

Insurance runs on two things customers feel directly: how the claim experience goes, and what the policy costs. Both are decisioning problems buried under documents — claim forms, photos, medical records, applications — and both have historically moved at the speed of manual review.

AI changes the economics of that review. A first notice of loss can be captured conversationally and validated against coverage in minutes; supporting documents can be read and structured automatically; a standard claim can be adjudicated straight through while complex ones route to an adjuster with the evidence already assembled. Underwriting shifts from static tables to risk-appropriate, data-driven pricing.

We build these systems with the controls insurance requires — fairness and bias checks on pricing models, human review on consequential claims, and traceable logic regulators can examine. The use cases below are where carriers see the fastest, most durable return.

High-Value Use Cases

Where AI pays off in insurance.

Six high-value use cases, each mapped to the AdeptivIQ capability that powers it.

Conversational AI

FNOL & Claims Intake

Capture first notice of loss across phone, chat, and web, validate coverage on the spot, and create a clean claim file — turning the worst moment of the customer journey into minutes, not days.

  • Outcome — faster intake, less leakage, and a better first impression at claim time.
Hybrid Generative AI

Claims Document & Photo Extraction

Read claim forms, invoices, and damage photos, extract the structured data, and check completeness before adjudication — so adjusters start with a validated file rather than a folder of scans.

  • Outcome — faster, more accurate adjudication and less manual data entry.
Agentic AI

Claims Adjudication Agent

Review claim details, validate evidence against policy, and make the adjudication decision — triggering the right payout or escalation path autonomously for standard cases.

  • Outcome — straight-through processing on routine claims; adjusters focused on the complex ones.
Predictive AI

Underwriting & Risk Pricing

Score applicants using behavioural, telematics, credit, and historical data to calculate dynamic, risk-appropriate premiums — and speed quotes without giving up pricing discipline.

  • Outcome — sharper, fairer pricing and faster quote-to-bind.
Agentic AI

Fraud Detection & Response

Interpret fraud signals across claims and payments, decide the right response path, and initiate holds, investigations, or escalations without waiting for a human to triage the alert.

  • Outcome — lower fraud leakage with less manual investigation overhead.
Conversational AI

Policyholder Service & Renewals

Answer coverage, billing, and claim-status questions conversationally, handle complaints, and surface personalised renewal and cross-sell offers at the right moment.

  • Outcome — 24/7 service, higher retention, and more cross-sell from existing books.
Featured Use Case

The claims lifecycle, in depth.

An adviser reviewing a property contract — the claims lifecycle AI moves from FNOL to settled
claims that
settle themselves AGENTIC AI
FNOL TO SETTLED

From first notice to settled, faster

Claims is where customers decide whether they'll renew — and where carriers leak the most cost. The traditional flow is a relay race of handoffs: a call-centre intake, a documents queue, an adjuster's review, a payment run. Each handoff adds days and a chance for leakage.

We compress the relay into a connected flow. Conversational AI captures the loss and validates coverage; generative document intelligence reads and structures the evidence; an adjudication agent clears the standard cases straight through and assembles a complete, evidence-ready file for the complex ones. Fraud signals are evaluated in line, not in a separate silo weeks later.

The standard claim closes in a fraction of the time, the adjuster spends their attention where judgement actually matters, and the policyholder gets a settlement experience that earns the renewal.

FNOL captureDocument intelligenceAdjudication agentsFraud-in-the-loopAdjuster assist
Capabilities That Apply

The building blocks behind insurance AI.

Each use case above is powered by one or more of our core capabilities.

Agentic AI

Agents that plan and act across your systems, with oversight.

Predictive AI

Forecasting, scoring, and pattern detection at scale.

Hybrid Generative AI

Generative answers grounded in your proprietary data.

Conversational AI

Chat and voice that resolve real customer needs.

Ready to put AI to work in insurance?

Tell us where the friction is — a slow claims queue, an underwriting backlog, a fraud problem — and we'll map the fastest path to measurable impact. No jargon, no overselling.

Talk to us about insurance AI →