AI Product Engineering
Connect AI to the systems you already run.
Secure integrations and MCP servers that let AI assistants and agents use your data and tools, with the right permissions.
Discuss an integrationFixed-price pilot
Who it's for
- Teams that want ChatGPT, Claude, Copilot or their own agents to work with internal systems.
- SaaS companies that want their product to be usable by AI assistants.
What you get
- Integrations between AI models and your CRM, ERP, databases, ticketing or internal APIs.
- MCP servers for your product or internal tools, with authentication, scoped permissions and audit logs.
- Model routing, so each task uses the right model for quality and cost.
- Security review against prompt injection and data leakage.
Price
Fixed price, quoted after a free 30-minute call.
Built in, not bolted on.
- You own everything
- Evals before launch
- Security by default
- No lock-in
- Running costs shown up front
- Humans in the loop where it matters
- Your data stays yours
Questions
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants connect to tools and data in a consistent way. Building on it avoids lock-in to any one AI vendor.
Is it safe to give an AI access to our systems?
Only with limits. Agents get the minimum permissions they need, sensitive actions need approval, and everything is logged.
Not sure where AI fits yet?
Book a free 30-minute call. We'll ask about your work, tell you honestly where AI can and can't help, and suggest a sensible first step, even if that step isn't us.