SaaS & Technology

Make your SaaS agent-ready

Expose your product to Claude, ChatGPT and other AI agents via MCP.

Discuss this use case

How we approach it

  1. Design agent-friendly tools and schemas
  2. Remote MCP server with OAuth and scopes
  3. Usage analytics and rate limits

How success is measured

Agent-driven actions, connected workspaces, tool-call error rate.

Related

More use cases.

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Next step

Let's talk about your AI system.

A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.

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Up next · How we work Start small. Prove value. Scale. Three engagement models, a measure-first approach and a 3-click starting-point finder. About Hands-on engineering, not slideware Who we are and the principles we work by. Blog Notes from the field In-depth articles on architecture, production lessons and research. Services Everything between the idea and the SLA Agents, MCP servers, RAG, fine-tuning, voice, vision and governance, 19 hands-on capabilities. Platforms & Cloud The heavy lifting behind AI Data & AI platforms, landing zones, accelerators and migrations between cloud AI providers.