Put AI to work on the tasks your team keeps redoing
Three topics are essential in ensuring effective AI adoption. First, policy, because unsupervised usage could be the most expensive failure mode. Then agents. Then the integrations that make them useful.
Guidance & planning
We assess where AI would actually remove work, write the policy, and hand you a plan your own team can run.
Implementation & execution
We build the agents, integrations and monitoring, then stay on while your team takes ownership.
Governance and usage policy
Staff are already using AI tools. The question is whether they are doing it against a policy you wrote or one they invented.
We produce a usage policy your people can actually follow, then implement the monitoring and enforcement that makes it real rather than aspirational.
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Agentic workflow automation
Back-office work — intake, triage, reconciliation, reporting — is where agents earn their keep, because the task repeats and the rules are knowable.
We scope one process at a time, build the agent with its context and guardrails, and measure the before and after so the value is not a matter of opinion.
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Data integration and custom MCP servers
An agent is only as useful as what it can reach. Most of the work in a real deployment is connecting internal systems safely.
We build the integrations and custom MCP servers that expose your data to AI tooling under your access rules, and you own what we build.
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Who this is for
Medium and large businesses
Teams with repetitive back-office volume and enough process documentation that an agent has something to learn from.
Startups and small businesses
Small teams who need leverage more than headcount, and who can adopt quickly without a change-management programme.
Not a fit
Organisations looking for an AI strategy deck. We work on processes you can name and measure.
Common questions
Do we need a policy before we automate?
Not strictly, but it is cheaper in that order. Policy work takes days; unwinding uncontrolled tool adoption takes months.
Who does the work?
Our ML and automation lead scopes and builds, with our software and cloud leads on integration. You deal with the people writing the code.
What do we own at the end?
The agents, the integrations and the MCP servers we build are yours, documented and running in your environment.
How do you charge?
Hourly for guidance and planning, or a flat implementation rate on well-scoped projects. We tell you which applies before we start.
Bring one repetitive process
Pick the task your team complains about most. Thirty minutes is enough to tell you whether an agent can carry it and what it would take.
Book the call