If your organisation is like most, you already have a graveyard of promising AI pilots: a slack bot that worked until someone changed a schema, a copilot that hallucinated policy, or a “quick” ChatGPT plugin that IT refused to bless.
The pattern is not a lack of ideas. It is the missing layer between language models and the systems that actually run the business—often decades-old, lightly documented, and politically expensive to replace.
MCP as a contract, not a stunt
Model Context Protocol gives you a predictable way to describe tools: what they do, what arguments they accept, and how a client should call them. That sounds bureaucratic until you are the person explaining to risk why an assistant is allowed to touch customer records.
With MCP you can:
- Bound capability so models request explicit operations instead of improvising against raw SQL or mystery endpoints.
- Reuse enforcement you already care about: authentication, row-level access, rate limits, and audit trails.
- Ship incrementally—one vertical slice (for example, “lookup order status + raise ticket”) before you boil the ocean.
Where web strategy meets integration reality
Your public site probably promises “AI-powered operations.” Buyers will assume there is substance behind the headline. MCP-backed integrations are one of the few approaches that let that story stay honest: the same governed tools can power internal copilots, coding agents, or customer-facing workflows—without three incompatible integration tracks.
What we look for in the first 30 days
Every stack is different, but we consistently start with three questions:
- Which workflow burns the most time and has tolerable downside if a human reviews edge cases?
- What is already exposed as an API, message, or report—and what is only reachable through tribal knowledge?
- What evidence would leadership need to green-light broader rollout: latency, accuracy, cost, or compliance artefacts?
If you can answer those roughly, you are past “experiment” and ready for an architecture conversation—not another demo.
When you are ready to map tools, guardrails, and the web narrative together, we should talk.