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02 · Insights— The analysis

Claims automation

Automates the intake, triage, and adjudication of insurance claims to speed settlement and cut manual work.

Data updated

105
deployments
on record
6
industries
led by Insurance
24
publish a quantified result
104 report any result
4 Aug 2026
newest deployment
publication date
§ 1

Where it is used

Insurance accounts for 88% of these deployments.

  1. InsuranceSurging · 7 in the last 6 months
    92
  2. HealthcareQuiet · 0 in the last 6 months
    5
  3. FinanceEmerging · 1 in the last 6 months
    2
  4. Professional ServicesQuiet · 0 in the last 6 months
    2
  5. LegalQuiet · 0 in the last 6 months
    2
  6. LogisticsQuiet · 0 in the last 6 months
    2
§ 2

What it delivers

24 deployments publish a number. The rest describe results in words, grouped below.

  1. Time & speed

    16 metrics

    Reduction · median and middle half
    −40%Median reduction −40%, middle half −30% to −75%, from 11 metrics
    Increase · median+40%5 metrics
  2. Other quantified impact

    7 metrics

    Reduction · median and middle half
    −20%fewMedian reduction −20%, middle half −20% to −20%, from 2 metrics
    Increase · median+81%5 metrics
  3. Cost savings

    6 metrics

    Reduction · median and middle half
    −35%Median reduction −35%, middle half −26% to −48%, from 6 metrics
  4. Productivity & throughput

    4 metrics

    No reductions reported
    Increase · median+69%4 metrics · few
  5. Customer experience

    3 metrics

    Reduction · median and middle half
    −23%fewMedian reduction −23%, middle half −19% to −26%, from 2 metrics
    Increase · median+20%1 metric · few
  6. Quality & accuracy

    2 metrics

    No reductions reported
    Increase · median+39%2 metrics · few

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

Results described in words

  1. Speed & agility70% of these deployments
    74
  2. New product / capability64% of these deployments
    67
  3. Customer experience & trust63% of these deployments
    66
  4. Risk & compliance42% of these deployments
    44
  5. Scale & capacity28% of these deployments
    29
  6. Better decisions & insight27% of these deployments
    28
6 of 8 result types
§ 3

How it is built

Microsoft is named in 74% of these deployments.

  • Custom-built77% · 57
  • Low-code15% · 11
  • Bought4% · 3
  • Mixed4% · 3

The build approach is known for 74 of 105 deployments (70%). The rest are left out.

Cloud providers named

  1. Microsoft78 deployments
    74%
  2. AWS18 deployments
    17%
  3. GCP10 deployments
    10%

Technologies that recur

  • Azure OpenAI 34
  • Azure AI 25
  • Azure 15
  • Copilot 9
  • Azure AI Document Intelligence 8
  • AWS Lambda 8
  • Amazon S3 8
  • Microsoft Azure 7
§ 4

Deployments over time

9 deployments in the last six full months, against 4 in the six before. Counted by publication month since Oct 2023. 29 earlier deployments are not shown.

The lighter bar is Nov 2026, still in progress: 0 so far.
§ 5

Deployments of this pattern

  1. 4 Aug 2026
    Insurance

    Simpego automates Swiss insurance-claim document extraction with Amazon Bedrock

    Simpego · AWS

    Simpego uses Anthropic Claude Opus on Amazon Bedrock in a serverless, event-driven pipeline to extract structured claim-document data and prefill its claims platform for specialist review. The pipeline handles variable-format multilingual Swiss documents, validates output schemas and invoice arithmetic, and keeps claims specialists as final decision-makers.

  2. 15 Jul 2026
    Finance

    Visma automates travel and expense claim validation with Amazon Bedrock

    Visma · AWS

    Visma, through M2 by Visma, built M2 Tarkka to automate validation of travel and expense claims on AWS. The solution combines deterministic rules with LLM-powered checks to interpret contextual free-text descriptions and apply Finnish tax and policy rules. Visma also added an AI agent so customers can upload travel policies and ask natural-language questions with source-attributed answers.

  3. 4 Jul 2026
    Insurance

    Gallagher: AI as a force multiplier for trusted advisors (claims summarization + quote automation)

    Gallagher · Microsoft

    Gallagher, a global insurance broker and risk management firm, built an AI platform on Microsoft Foundry to support secure enterprise AI in a highly regulated environment. The company deployed Microsoft 365 Copilot across 70,000 employees and used Copilot Studio to create governed agents connected to internal systems. AI is applied to claims summarization, document-heavy workflows, multi-line quote letter automation, and RFP automation with human oversight and strict data boundaries.

  4. 9 Jun 2026
    Insurance

    Hands-free FNOL intake with Strands Agents and Amazon Bedrock AgentCore Browser Tool

    Strands · AWS

    This article describes a hands-free first notice of loss (FNOL) intake prototype for insurance claims. It combines Strands Agents for insurance-specific reasoning with Amazon Bedrock AgentCore Browser Tool and Amazon Nova Act to operate existing portals, tag multimodal evidence, and produce decision-ready intake for adjusters.

  5. 7 Jun 2026
    Insurance

    UNIQA SEE accelerates health insurance claims processing with Azure AI + Azure Document Intelligence + Azure OpenAI

    UNIQA Insurance Group · Microsoft

    UNIQA SEE faced fragmented and complex medical referral letters and invoices, heavy manual document review and validation, call center reliance, and long claims processing cycles.

  6. 6 Jun 2026
    Insurance

    UCARE.AI shortens healthcare claims product release cycle to one week using Vertex AI and Gemini Pro

    UCARE.AI · GCP

    UCARE.AI is an AI-driven insurtech company in Singapore focused on healthcare claims. It moved from multi-cloud to Google Cloud to streamline product development and gain access to generative AI capabilities. Its solutions include AlgoDetect for flagging outlier claims to reduce fraud, waste and abuse, and AI Assessor for drafting summaries and responses using Gemini Pro and MedLM for medical terminology understanding. The company says the move to a single cloud shortened its product release cycle from one month to one week and improved time savings for customers reviewing flagged claim details.