Plenty of consultants will tell you to “automate with AI.” We build the automation. Our AI automation consulting turns a repetitive, painful process into a working workflow — and then trains your team to own it, so you are not dependent on us. This is the delivery arm of our AI consulting practice.
An automation project
Start with one high-value workflow
We do not try to automate everything at once. We find the one process that is frequent, painful and well-understood — monthly reporting, invoice processing, customer replies, data reconciliation — and make AI do it reliably. A single visible win builds the momentum (and the business case) for the next.
Built on the right tools
We build with n8n for workflow orchestration, Claude and other LLMs for reasoning and drafting, and Microsoft Copilot where your team lives in Microsoft 365 — accelerated by our library of 700+ ready-to-deploy n8n workflows.
We hand it over
Automation that only we can maintain is a liability. Every engagement includes hands-on, HRDC-claimable training so your people can run, tweak and extend what we build. Capability stays in-house.
Measured by outcomes
We tie each automation to a concrete before-and-after number — hours saved, errors cut, turnaround reduced — because that is what justifies the next project and proves the ROI. For the wider adoption picture, see AI change management.
What we typically automate first
The best first automations share a shape: frequent, rule-heavy, and text- or data-driven. In practice that means things like customer and email replies, invoice and order processing, data reconciliation, report generation, and lead follow-up. We start with one because a single visible win — hours saved every week, measured — builds the internal case for the next far better than a broad, shallow rollout. From there, the same patterns extend across the business, which is where an organisation-wide change-management programme takes over.