Connect your systems to AI without opening the doors
Integrations and custom MCP servers that expose internal data to AI tooling under your access rules — built in your environment and owned by you.
An agent is only as useful as what it can reach
Most of the effort in a real AI deployment is not the model. It is connecting the systems where your work lives, safely, with access boundaries that survive an audit.
We design the integration, build the MCP servers, and hand over documented, running infrastructure.
Integration design
A map of which systems matter, what each should expose, and where the access boundaries sit.
Custom MCP server development
Servers built against your systems, versioned and deployed into your environment.
Access control
Scoped credentials and permission models so the agent sees exactly what it should and nothing more.
Documentation and ownership
Written handover so your team can extend and operate what we built.
How we deliver
Identify what to connect
A 30-minute call, then a pass over the places where your data lives and where your recurrent operations happen, and which of them an agent would genuinely need.
Design the access model
Before the first line of code, the read and write permissions are agreed with the people accountable for them. Retrofitting that afterwards is where these projects usually come apart.
Build and hand over
The connectors go live inside infrastructure you control, documented well enough that evolving them later is effortless.
Often bought with
Agentic workflow automation
Back-office processes handed to AI agents that are scoped, supervised and measured.
Cloud infrastructure
Architecture, provisioning and access control on Azure and AWS, built to be handed back to you.
Software development
Business applications, e-commerce and marketing sites, delivered with modern DevOps practice.
Start with a 30-minute call
Bring the situation, not a specification. You leave with a written view of what we would do and in what order.
Book the call