InsuranceCase study · Australia

GenAI VOC & claims intelligence discovery

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The challenge

An insurer sought generative AI to improve claims operations by summarising customer call transcripts and extracting structured business signals for downstream workflows. Discovery was required to identify value, pain points, latency expectations and extraction requirements before build.

What we did

Led early solution discovery and architecture scoping for a Voice of Customer platform: business requirements workshops, use-case analysis, reference architecture, transcript summarisation approach, information extraction strategy, and downstream integration planning, before transition to another delivery team.

The outcome

Produced the business requirements, solution direction and reference architecture needed to support AI-powered claims transcript summarisation and structured information extraction.

Contributed to early solution scoping for a generative AI Voice of Customer platform, covering claims transcript summarisation and information extraction.

Databricks products used
Mosaic AI Foundation ModelsUnity CatalogMLflowAI/BI DashboardsAI Governance
Capabilities applied
VOC / claims GenAI designLLM summarisation patternsInformation extraction strategyEnterprise discovery
Technical depth

Discovery framed a governed generative AI path from transcript ingest, to summarisation, to structured extraction, to claims workflow handoff, with latency and evaluation expectations captured before implementation.