Implementation

Build vs Buy vs Compose

Across 2,208 classified AI deployments, 70% are built custom (pro-code), 10% buy off-the-shelf, and 13% compose with low-code. Compare the build approach for every use-case type.

Use case types

165

Cases classified

2,208

68% of 3,231
Build

70%

custom / pro-code
Buy

10%

off-the-shelf

The whole corpus

How AI use cases get built

Of 2,208 deployments where the build approach is documented (68% of 3,231 cases), 70% build custom, 10% buy off-the-shelf, 13% compose with low-code, and 7% mix approaches.

Build— custom / pro-code engineeringBuy— off-the-shelf assistant / copilotCompose— low-code / no-code assemblyMixed— more than one approach
Min. cases
Sort
Customer service automation182·65% classified
AI platform150·77% classified
Predictive maintenance145·63% classified
Claims automation114·63% classified
Agriculture optimization101·50% classified
Risk assessment95·58% classified
Workflow automation95·76% classified
Patient engagement77·57% classified
Automotive operations automation75·83% classified
Clinical documentation75·77% classified
Compliance automation74·72% classified
Intelligent document processing74·84% classified
Document automation72·81% classified
Fraud detection71·66% classified
AI development platform66·50% classified
Business process automation66·79% classified
Customer personalization53·79% classified
Energy operations automation53·60% classified
Customer support automation51·76% classified
Cloud migration44·39% classified
Manufacturing quality monitoring42·62% classified
Industrial inspection41·73% classified
Shopping recommendations36·61% classified
Medical document automation35·77% classified
Supply chain optimization34·35% classified
Customer experience analytics32·78% classified
Code assistant31·81% classified
Legal document automation31·77% classified
Retail analytics platform31·68% classified
Student support31·65% classified
Conversational support30·80% classified
IT operations30·63% classified
Healthcare workflow automation29·86% classified
Workflow orchestration29·83% classified
Medical imaging28·79% classified
Onboarding automation26·100% classified
Energy optimization25·44% classified
Legal document summarization25·84% classified
Contact center modernization24·54% classified
Public sector automation22·45% classified
ⓘ How this is measured

Each documented deployment is classified by how it was built: Build (custom / pro-code engineering — bespoke pipelines, SDKs such as Azure AI Foundry, Vertex AI or Amazon Bedrock), Buy (an off-the-shelf assistant or copilot adopted as the main solution), Compose (low-code / no-code tooling such as Copilot Studio, Power Platform or n8n), or Mixed when more than one applies.

Percentages are shown over classified cases. Deployments whose write-up doesn’t describe the build approach are left unclassified and reported as the “% classified” coverage figure, not forced into a bucket.

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