Search 3,811 source-linked enterprise AI use cases

Discover how 3,239 organizations are applying AI across workflows, industries, technologies, and reported outcomes. Updated daily from public documentation.

Try a query
3,811 public deployments3,239 companies247 partnersupdated daily
Data as of Aug 25, 2026
Dataset details
Revision
dsr-80f4590089eafa30
Canonical records
3,811

Start with your question

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

How is a company using AI?Find source-linked deployments by organization, industry, and technology.What can AI do for this workflow?Explore reusable applications backed by documented enterprise deployments.Which 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. Manufacturing528
  2. Healthcare523
  3. Finance & Banking409
  4. Retail & E-commerce390
  5. Tech & Communications359

Industry Momentum

View momentum
  1. Tech & Communications+142
  2. Retail & E-commerce+131
  3. Finance & Banking+122
  4. Healthcare+98
  5. Manufacturing+49

Key Signals

Explore outcomes
73%Custom-built deployments lead36%Agents are entering the current cohort39%Reported outcomes are still selective

Individual deployments

Most innovative documented deployments

Rank reflects time-adjusted innovativeness. Evidence strength and deployment maturity are shown separately; the default excludes Low-evidence records.

2,117 documented deployments

View all
InnovativenessEvidence strengthMaturity
  1. 1Indiana Secretary of State modernizes state services with Gemini AI and Vertex AIIndiana Secretary of State · Public Sector4.855/100MediumProduction
  2. 2Blue Origin Accelerates Lunar Hardware Development Using Agentic AI on AWSBlue Origin · Manufacturing4.860/100MediumUnknown
  3. 3Supply Chain 2.0: How Microsoft is Powering Simulations, AI Agents, and Physical AIMicrosoft · Logistics4.750/100MediumProduction
  4. 4Vxceed builds a near real-time multi-agent AI platform on Amazon Bedrock for retail executionVxceed Technologies NZ LTD · Consumer & Food4.650/100MediumUnknown
  5. 5Land O'Lakes advances resilient US farm productivity with AI-powered digital assistantLand O'Lakes · Agriculture4.465/100MediumProduction
  6. 6Fastagger empowers African SMBs with mobile AI assistantFastagger · Energy & Utilities4.455/100MediumProduction

Reusable applications

Use Case Patterns

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

215 reusable patterns

View all
RankUse case typeTrend12 moMomentum
  1. 1Customer service automation192 documented cases83
  2. 2AI platform144 documented cases92
  3. 3Predictive maintenance136 documented cases44
  4. 4Workflow automation124 documented cases94
  5. 5Claims automation112 documented cases55
  6. 6Agriculture optimization96 documented cases30

Keep your research moving

Save source-linked deployments, follow companies, and receive alerts when relevant new evidence appears.

Free. Continue with Google or Microsoft.

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%054108162216corpus average · 29.5% 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 labels hidden for clarity. Hover or focus a dot for details.

Open the interactive data
0%25%50%75%017355269corpus average · 29.5% 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 enterprise AI trends are gaining attention.

Browse all insights

Implementation mix

What gets built, bought, or composed?

Build leads at 73%. Compare how enterprises assemble AI across every documented use-case type.

Share of classified deployments2.7K cases

Build

73%

Buy

9%

Compose

11%

Mixed

8%

72% of 3,735 deployments have a classified implementation approach.

Open the interactive data

Enterprise AI trend radar

Top enterprise AI trends

43 enterprise AI trends are tracked across monitored AI news and corroborated deployment evidence. No trend currently meets the rising threshold; ring position separates deployed adoption from discussion-only signals.

Snapshot updated Aug 25, 2026
Open the interactive data

Outcome evidence

Where is AI impact actually measured?

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

18

industries

10

outcome categories

153

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

View all

Technologies

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

View all

Countries

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

View all

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

Updates

2 cases added in the last 7 days

Create an alertView all