I design and implement the boundary between AI agents and the systems they need to use.

This service is for teams integrating MCP tools, REST APIs, approval workflows, and controlled automation into an existing product or internal operation.

I start by mapping the agent's tools, data sources, permissions, and failure modes. I then propose the smallest reliable integration, implement the agreed connectors and workflow logic, and leave clear tests and handover notes.

Typical scope includes agent-to-API connectivity, MCP tool design, human approval gates, orchestration, audit records, retries, and safe failure handling.

Scope boundaries: model training, paid infrastructure, third-party subscriptions, legal certification, and production deployment access are separate items. Deployment is performed only with the client's approved access and release process.