Search 3,890 source-linked enterprise AI use cases

Discover how 3,455 organizations are applying AI across workflows, industries, technologies, and reported outcomes. Updated daily from public documentation.

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3,890 use cases3,455 companies249 partnersupdated daily

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Choose a route into documented deployments, reusable applications, or market momentum.

Company researchHow is a company using AI?Find source-linked deployments by organization, industry, and technology.Use case patternsWhat can AI do for this workflow?Explore reusable applications backed by documented enterprise deployments.Market signalsWhich technologies are gaining traction?Compare adoption momentum across technologies, providers, industries, and regions.

Market overview

Adoption Signals

Deployment volume by industry, the sectors accelerating fastest, and the headline findings across the corpus.

AI by Industry

Explore industries
  1. Manufacturing547
  2. Healthcare541
  3. Finance & Banking399
  4. Retail & E-commerce381
  5. Tech & Communications353

Industry Momentum

View momentum
  1. Tech & Communications+143
  2. Finance & Banking+118
  3. Retail & E-commerce+121
  4. Healthcare+105
  5. Manufacturing+37

Key Signals

Explore outcomes
72%Custom-built deployments lead39%Agents are entering the current cohort39%Reported outcomes are still selective

Individual deployments

Deployments

The highest-ranked documented company deployments, ordered by time-adjusted innovativeness.

3,476 documented deployments

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RankDeploymentScore
  1. 1Indiana Secretary of State modernizes state services with Gemini AI and Vertex AIIndiana Secretary of State · Public Sector4.8
  2. 2Blue Origin Accelerates Lunar Hardware Development Using Agentic AI on AWSBlue Origin · Manufacturing4.8
  3. 3Supply Chain 2.0: How Microsoft is Powering Simulations, AI Agents, and Physical AIMicrosoft · Logistics4.7
  4. 4Vxceed builds a near real-time multi-agent AI platform on Amazon Bedrock for retail executionVxceed Technologies NZ LTD · Consumer & Food4.7
  5. 5KTern.AI builds agentic AI for SAP transformation on Amazon Bedrock AgentCoreKTern.AI · Professional Services4.6
  6. 6Enterprise automation elevated with agentic AI for professional servicesForvis Mazars · Professional Services4.5

Reusable applications

Use Case Patterns

The most widely documented reusable AI applications, with their momentum signal alongside case volume.

208 reusable patterns

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RankUse case typeTrend12 moMomentum
  1. 1Customer service automation202 documented casesCustomer service automation: documented case activity over the last 12 months75
  2. 2AI platform150 documented casesAI platform: documented case activity over the last 12 months94
  3. 3Predictive maintenance150 documented casesPredictive maintenance: documented case activity over the last 12 months48
  4. 4Workflow automation135 documented casesWorkflow automation: documented case activity over the last 12 months93
  5. 5Claims automation127 documented casesClaims automation: documented case activity over the last 12 months51
  6. 6Agriculture optimization102 documented casesAgriculture optimization: documented case activity over the last 12 months36

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Evidence & methodology

Keep the source in view

The corpus tracks publicly documented deployments. Its evidence signals describe what each source supports, not an independent audit of whether a system remains operational.

Read the methodology

Source-linked records

Each deployment keeps its public source references and the minimum supporting evidence needed for review.

Deterministic evidence strength

Customer identity, source type, corroboration, technical detail, outcomes, and recency are scored from observable signals.

Explicit maturity only

Production and scaled-production labels require source language that supports the stated deployment status.

Agentic adoption

How enterprises are adopting agentic AI

Compare which workloads are becoming agentic and whether implementations are custom-built or packaged.

0%25%50%75%057114170227corpus average · 30.3% of cases are agenticAgent-led already: Higher Documented deployments (adoption volume) and higher Share of deployments that are agentic.Agent-led alreadyStill pipelines & models: Higher Documented deployments (adoption volume) and lower Share of deployments that are agentic.Still pipelines & modelsDocumented deployments (adoption volume)Share of deployments that are agentic

+4 labels hidden for clarity. Hover or focus a dot for details.

Open the interactive data
0%25%50%75%017345067corpus average · 30.3% agenticCustom-built agents: Lower Packaged (buy + low-code) share of implementations and higher Share of deployments that are agentic.Custom-built agentsPackaged agents: Higher Packaged (buy + low-code) share of implementations and higher Share of deployments that are agentic.Packaged agentsOff-the-shelf assistants: Higher Packaged (buy + low-code) share of implementations and lower Share of deployments that are agentic.Off-the-shelf assistantsCustom pipelines: Lower Packaged (buy + low-code) share of implementations and lower Share of deployments that are agentic.Custom pipelinesPackaged (buy + low-code) share of implementationsShare of deployments that are agentic

+3 labels hidden for clarity. Hover or focus a dot for details.

Open the interactive data

Explore the evidence

Read the market through the charts

Three live views into how enterprise AI is built, where outcomes are measured, and which narratives are moving.

Browse all insights

Implementation mix

What gets built, bought, or composed?

Build leads at 72%. Compare how enterprises assemble AI across every documented use-case type.

Share of classified deployments2.7K cases

Build

72%

Buy

9%

Compose

11%

Mixed

8%

72% of 3,811 deployments have a classified implementation approach.

Open the interactive data

Narrative radar

What is moving now?

0 narratives are rising. Ring position separates deployed evidence from discussion-only signals.

Open the interactive data

Outcome evidence

Where is AI impact actually measured?

Tech & Comms × time & speed has the densest evidence. The matrix links reported outcomes back to the underlying deployments.

18

industries

10

outcome categories

155

evidence intersections

SpeedCostOutputQualityHealthcare
Manufacturing
Finance
Tech & Comms
Insurance
Retail
Open the interactive data

Adoption momentum

Where enterprise AI adoption is accelerating

Compare recent deployment growth across industries, technologies, and countries using the same momentum index.

Industries

Ranked by momentum index (recent acceleration over last 6 months) · higher is better

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Technologies

Ranked by momentum index (recent acceleration over last 6 months) · higher is better

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Countries

Ranked by momentum index (recent acceleration over last 6 months) · higher is better

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Recently added

Changelog

10+ cases added in the last 7 days

  1. New Alibaba use case · Jul 29

    Bridge A.I. (Hong Kong) — AI-based educational & emotion analytics platform for SEN therapy and content recommendationsBridge A.I.

  2. New Alibaba use case · Jul 29

    UQPay improves fintech payment availability and compliance with ApsaraDB RDS, RabbitMQUQPay

  3. New Alibaba use case · Jul 29

    Topview: Elastic Desktop Service to stabilize AI digital-human live streaming and cut IT costsTopview

  4. New Alibaba use case · Jul 29

    Lion Parcel uses Qwen-VL-Plus OCR to automate finance document processingLion Parcel

  5. New Alibaba use case · Jul 29

    CviLux Group: Data Mid-End to power RPA and DataV dashboards for manufacturing efficiencyCviLux Group

  6. New Alibaba use case · Jul 29

    StarTimes rebuilds cloud/data architecture for OTT & digital TV platform on Alibaba CloudStarTimes

  7. New Alibaba use case · Jul 28

    Synagie improves ESG/carbon accounting platform using Alibaba Cloud AnalyticDB for PostgreSQL and Energy Expert (Green Retail)Synagie

  8. New Alibaba use case · Jul 28

    JULO (PT Julo Teknologi Finansial) uses Alibaba Cloud for AI-enabled digital credit and reliable fintech infrastructureJULO

  9. New Alibaba use case · Jul 28

    Futureverse: PAI Lingjun Intelligent Computing for foundation model trainingFutureverse

  10. New Alibaba use case · Jul 28

    CHARLES & KEITH uses Alibaba Cloud Data Middle-End Platform and Image Search to enable product popularity forecasting and unified data intelligenceCHARLES & KEITH