AI Use Cases: What Enterprises Are Actually Building

Search 3,000+ real enterprise AI use cases from AWS, Azure, and Google Cloud — source-linked and scored for impact, effort, and innovation.

— free, with Google or Microsoft — to save cases and follow companies for deployment alerts.

3,527 use cases3,174 companies996 partnersupdated daily

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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Individual deployments

Success Stories

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

3,107 documented deployments

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  1. 1Indiana Secretary of State modernizes state services with Gemini AI and Vertex AIIndiana Secretary of State · Public Sector4.9
  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 AIToyota · Logistics4.8
  4. 4Vxceed builds a near real-time multi-agent AI platform on Amazon Bedrock for retail executionVxceed Technologies NZ LTD · Consumer & Food4.7
  5. 5Enterprise 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.

184 reusable patterns

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  1. 1Customer service automation188 documented cases78
  2. 2AI platform150 documented cases94
  3. 3Predictive maintenance145 documented cases47
  4. 4Workflow automation123 documented cases93
  5. 5Claims automation117 documented cases50

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 71%. Compare how enterprises assemble AI across every documented use-case type.

Share of classified deployments2.4K cases

Build

71%

Buy

10%

Compose

12%

Mixed

7%

70% of 3,448 deployments have a classified implementation approach.

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Narrative radar

What is moving now?

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

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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

163

evidence intersections

SpeedCostQualityOutputHealthcare
Manufacturing
Finance
Tech & Comms
Insurance
Retail
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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%53106158211corpus average · 30.9% 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

+1 unlabeled where space ran out — hover the dots: Business process automation.

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0%25%50%75%17345067corpus average · 30.9% 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 unlabeled where space ran out — hover the dots: Predictive maintenance, Agriculture optimization, Cloud migration.

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Build custom charts in the Data Playground and read the latest LLM market insights.

Start from your role

Put the evidence to work

Move from market signals to target accounts, a client-ready report, or deeper adoption analysis.

SalesFind target accounts & use casesSee which companies are already deploying AI, what problems they are solving, and where similar use cases may appear next.Partners & consultingGenerate a branded PDF reportCreate a downloadable PDF with market stats, opportunity areas, and source-linked reference cases.StrategyTrack markets & adoption trendsSee where AI adoption is accelerating across markets, regions, cloud platforms, and capability themes.

Recently added

Changelog

10+ cases added in the last 7 days

  1. New Microsoft use case · Jul 12

    Levi Strauss & Co. builds a unified Super Agent with Microsoft Foundry and CopilotLevi Strauss & Co.

  2. New Microsoft use case · Jul 12

    BPM scales Microsoft 365 Copilot and Copilot agents for tax workflows with governanceBPM

  3. New Oracle use case · Jul 12

    Lottoland Breaks Language Barriers with AI-Powered ServiceLottoland

  4. New GCP use case · Jul 12

    Incrementa uses Gemini Enterprise Standard for campaign analysis and client insightsIncrementa

  5. New GCP use case · Jul 12

    The Clinician no-code clinical project authoring wizard using Gemini Enterprise Agent PlatformThe Clinician

  6. New GCP use case · Jul 11

    Albertsons Companies automates produce quality inspections using Gemini Enterprise Agent Platform and Vision AIAlbertsons Companies

  7. New GCP use case · Jul 11

    Arrive builds Gemini AI orchestration layer for post-merger integration with faster onboarding and proposalsArrive

  8. New Alibaba use case · Jul 11

    AnalyticDB Ray enables fully managed Ray-based Data+AI with heterogeneous CPU/GPU scheduling (Qwen-VL fine-tuning case)AnalyticDB customer

  9. New GCP use case · Jul 11

    Maki: AI automated interviews for recruitment using Vertex AI + Gemini VisionMaki

  10. New GCP use case · Jul 11

    Pizza Hut: Delivering pizza where and when customers want it (Dialogflow + GKE)Pizza Hut