Financial Services · 2025

Generative AI cuts claims processing from days to minutes

Demo content

72%

faster claims intake

01 Project overview

An insurer processing 40,000 claims a month needed to reduce manual document handling without compromising accuracy or regulatory compliance.

02 Business challenge

Adjusters spent most of their day reading, keying and routing documents across four systems.
Backlogs spiked after weather events, extending settlement times and hurting customer satisfaction.
Any AI solution had to be explainable, auditable and keep sensitive data within the insurer's cloud tenancy.

03 Solution architecture

How it was built.

Ingestion

Email, portal and scanned mail normalized into an event stream.

Understanding

Multimodal extraction with confidence scoring and policy lookup via RAG.

Decisioning

Rules + LLM agent proposes routing; low-confidence cases go to humans.

Governance

Every decision logged with sources, prompts and reviewer outcome.

Technologies used

04 Implementation approach

01 · Weeks 1–3
Process mining, document taxonomy and an evaluation set of 2,000 labelled claims.
02 · Weeks 4–9
Extraction pipeline, RAG over policy wording and adjuster review UI.
03 · Weeks 10–14
Shadow mode against human decisions, then progressive rollout by claim type.

05 Results & impact

“TEQHAND engineered AI our compliance team actually trusts. Adjusters now spend their time on judgment, not data entry.”

— Head of Claims Operations (Demo testimonial)

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Have a document-heavy process like this one? Tell us about it and we’ll assess where AI can safely take over.