MCP setup and integration
Connecting AI to the tools you already use, like Slack, email, calendar, CRM and internal data, so it can do things, not just chat.
Using the Model Context Protocol, we connect AI to the systems where your work actually happens: your inbox, your calendar, your CRM, your internal data. It can then take action in them rather than just answer questions in a separate window. That is the difference between an assistant that talks and one that does.
Agent and workflow builds
Fixed-outcome sprints that deliver one working agent for a recurring process.
Pick a recurring process that eats time, such as drafting a certain kind of document, triaging incoming requests, or pulling together a weekly report. We build one agent that handles it end to end, in a fixed sprint. One clear outcome, delivered and working, not a platform you have to figure out.
Skill and prompt library builds
A set of reusable, reliable building blocks your team can run.
The prompts and skills your team relies on, written once, tested, and made dependable, so people aren't reinventing the same instructions every time. Consistent results from consistent building blocks.
Knowledge base setup
Making your internal documents searchable and usable by AI.
Your policies, past work and reference material, organised so AI can search them and answer from them accurately, with the source to hand. The knowledge that usually lives in someone's head or a forgotten folder, made usable.