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.
165
2,208
70%
10%
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.
ⓘ 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.