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

Explore the corpus

Start with your question

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

Market overview

Adoption Signals

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

Individual deployments

Deployments

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

3,488 documented deployments

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Reusable applications

Use Case Patterns

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

209 reusable patterns

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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.

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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 · 30.2% 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.

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0%25%50%75%017345067corpus average · 30.2% 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.

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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.

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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 3,826 deployments have a classified implementation approach.

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Narrative radar

What is moving now?

0 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

155

evidence intersections

SpeedCostOutputQualityHealthcare
Manufacturing
Finance
Tech & Comms
Insurance
Retail
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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

Technologies

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

Countries

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

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