One real API
Choose a production API with a meaningful AI use case, not a demo-only connector.
HAPI Zero-Shadow Pilot
Prove AI access to a real API.
Do not add shadow code to own.
Work with HAPI on one production API and establish whether your team can make it AI-accessible without generating, deploying, and maintaining another MCP implementation.
Discuss a pilotWhat the pilot is for
A focused route from a real API to an Enterprise decision.
The pilot is not a generic consulting catalog. It reduces uncertainty before standardizing AI access across an API estate.
A working access path
Validate MCP consumption, authorization boundaries, deployment assumptions, and operational ownership.
A scale recommendation
Leave with a practical recommendation for the APIs to prioritize, capacity to contract, and migration work to sequence.
The lifecycle comparison
See the ownership model before you scale it.
If you already maintain generated or handwritten MCP servers, the pilot can compare that lifecycle with the HAPI approach using an agreed API change or operating scenario.
Shadow MCP code
- Another implementation to validate and deploy
- Another dependency and protocol-upgrade path
- Another synchronization surface when the API evolves
HAPI approach
- Keep the existing API contract central
- Validate a consistent runtime and access model
- Plan estate adoption from the evidence collected
Shadow Code Buyback
Already maintaining MCP wrappers?
Bring them into the discussion. As part of Enterprise onboarding, HAPI can help identify and replace an agreed initial set of shadow implementations. This is migration and onboarding support, not a cash reimbursement.
Talk about migrationNext step
Turn pilot evidence into an API-estate plan.
Commercial scope, capacity, deployment constraints, and Enterprise terms are agreed in the production capacity conversation, not implied by a public services menu.