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02 · Insights— The analysis

Document automation

Generates, processes, and routes documents automatically to remove manual paperwork.

Data updated

67
deployments
on record
12
industries
led by Finance
26
publish a quantified result
66 report any result
8 Jul 2026
newest deployment
publication date
§ 1

Where it is used

Finance accounts for 39% of these deployments.

  1. FinanceRising · 2 in the last 6 months
    26
  2. InsuranceRising · 1 in the last 6 months
    10
  3. RetailSurging · 2 in the last 6 months
    5
  4. Professional ServicesRising · 1 in the last 6 months
    4
  5. Public SectorRising · 1 in the last 6 months
    4
  6. ManufacturingEmerging · 0 in the last 6 months
    4
  7. Energy & UtilitiesEmerging · 0 in the last 6 months
    3
  8. Tech & CommsEmerging · 0 in the last 6 months
    3
8 of 12 industries
§ 2

What it delivers

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

  1. Time & speed

    16 metrics

    Reduction · median and middle half
    −57%Median reduction −57%, middle half −43% to −71%, from 12 metrics
    Increase · median+220%4 metrics · few
  2. Quality & accuracy

    6 metrics

    Reduction · median and middle half
    −11%fewMedian reduction −11%, middle half −6% to −15%, from 2 metrics
    Increase · median+78%4 metrics · few
  3. Cost savings

    6 metrics

    Reduction · median and middle half
    −60%Median reduction −60%, middle half −27% to −80%, from 5 metrics
    Increase · median+47%1 metric · few
  4. Productivity & throughput

    4 metrics

    No reductions reported
    Increase · median+35%4 metrics · few
  5. Automation & deflection

    3 metrics

    Reduction · median and middle half
    −50%fewMedian reduction −50%, middle half −40% to −60%, from 2 metrics
    Increase · median+80%1 metric · few
  6. Other quantified impact

    3 metrics

    No reductions reported
    Increase · median+20%3 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 & agility67% of these deployments
    45
  2. New product / capability63% of these deployments
    42
  3. Customer experience & trust55% of these deployments
    37
  4. Scale & capacity37% of these deployments
    25
  5. Risk & compliance31% of these deployments
    21
  6. Cost efficiency28% of these deployments
    19
6 of 8 result types
§ 3

How it is built

GCP is named in 37% of these deployments.

  • Custom-built81% · 44
  • Low-code11% · 6
  • Bought7% · 4

The build approach is known for 54 of 67 deployments (81%). The rest are left out.

Cloud providers named

  1. GCP25 deployments
    37%
  2. AWS24 deployments
    36%
  3. Microsoft18 deployments
    27%

Technologies that recur

  • Amazon Bedrock 19
  • Vertex AI 17
  • BigQuery 12
  • Amazon Textract 10
  • Azure OpenAI 9
  • Gemini 9
  • Google Kubernetes Engine 9
  • Amazon S3 6
§ 4

Deployments over time

16 deployments in the last six full months, against 11 in the six before. Counted by publication month since Oct 2023. 8 earlier deployments are not shown.

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

Deployments of this pattern

  1. 8 Jul 2026
    Public Sector

    Swindon Borough Council used Amazon Bedrock to convert complex documents into Easy Read

    Swindon Borough Council · AWS

    Swindon Borough Council used generative AI through Amazon Bedrock to convert complex documents into Easy Read format for residents with learning disabilities. This reduced document production from hours to minutes and cut costs while improving accessibility and preventing resident exclusion.

  2. 8 Jun 2026
    Professional Services

    KPMG: KPMG Clara AI agentic audit platform on Azure

    KPMG · Microsoft

    KPMG International modernized its global audit process with KPMG Clara AI, a cloud-based smart audit platform used across member firms worldwide. The platform analyzes whole datasets instead of relying on sampling, automates documentation and substantive audit procedures, and grounds agents in enterprise data for compliant, secure use across regulated jurisdictions. KPMG built the solution on Azure AI Foundry, Azure AI Search, Azure OpenAI in Foundry Models, Azure AI Content Understanding, Azure App Service, Azure Cosmos DB, and the Microsoft Agent Framework.

  3. 8 Jun 2026
    Real Estate

    PlanRadar: GenAI-based visual documentation (“SiteView”) on AWS

    PlanRadar · AWS

    PlanRadar, a Vienna-based B2B software company for construction and real estate, built SiteView as a visual documentation add-on to its platform. The solution uses 360-degree camera footage uploaded to Amazon S3, extracts metadata, combines camera views, blurs people for GDPR compliance, and uses machine learning and Amazon Nova Foundation Models via Amazon Bedrock to analyze floor plans and generate interactive walkthroughs. SiteView aligns captures from different dates so users can compare progress over time in one place.

  4. 6 Jun 2026
    Insurance

    Upsure case study | Google Cloud

    Upsure · GCP

    Upsure is an insurtech company headquartered in India that helps insurers reduce operating costs and improve sales, productivity, and revenue. To meet strict regulatory requirements, scale cost-effectively, and support its AI roadmap, Upsure moved to a full cloud environment on Google Cloud. The company is exploring Vertex AI and Gemini to help insurers automate anti-money-laundering checks, KYC scoring, lead scoring, claims automation, and document creation.

  5. 3 Jun 2026
    Finance

    Oper Credits case study | Google Cloud

    Oper Credits · GCP

    Oper Credits uses Google Cloud's Vertex AI and Kubernetes to automate mortgage processes, reduce errors, and improve borrower and bank experiences. The company built a white-label platform integrated into partner banking institutions and uses Vertex AI to analyze borrower documents and support recommendations for advisors and borrowers.

  6. 3 Jun 2026
    Logistics

    TetriXX case study - Google Cloud

    TetriXX · GCP

    Singapore-based startup TetriXX helps customers save up to millions of dollars per year by eliminating logistics inefficiencies. With Google Cloud, TetriXX provides an AI platform that turns raw data from transportation and logistics invoices into clear, actionable insights. Using Vertex AI and the Agent Development Kit, TetriXX rapidly develops new AI features and agents, moving them from R&D to production with ease. The platform also integrates data from external sources to fully inform agent outputs, ensuring they’re accurate, complete, and ready to drive smarter decision-making. Internally, the organization uses Gemini 3 Pro, Gemini Gems, and NotebookLM to support competitor analysis, consistent responses across functions, and founder knowledge capture.