Less manual work. More of what actually matters.
We design and build practical AI agents and automation systems that reduce the work your team shouldn't be doing — freeing time and energy for the work only they can do.
Overview
Service Overview
Most AI tools feel impressive at first and disconnect quickly from real operations. They're built for demos, not workflows. They solve the problem that looked good in a pitch rather than the one that's costing your team three hours every Tuesday.
We build differently. We start by mapping how your team actually works — what they do, what they repeat, what slows them down, and where human judgment is genuinely required. Then we build agents that fit that reality rather than asking your team to change how they work to fit a tool.
Not experimental. Not over-engineered. Just useful.
HOW WE SUPPORT
What We Do
Map your workflows to identify genuine automation opportunities
Distinguish between what should be automated and what should stay human
Design agent logic — inputs, outputs, decision paths, edge cases
Build and integrate agents into your existing tools and platforms
Set up knowledge bases, CMS connections, and data sources
Test agents against real scenarios before deployment
Train your team and document everything clearly
Support and refine post-launch based on real usage
WHAT'S INCLUDED
Included
Workflow mapping and automation opportunity audit
Agent design specification — logic, inputs, outputs, integrations
2–4 built and tested agents (scope agreed at kickoff)
Integration setup with your existing tools — Notion, Slack, email, CRM, WhatsApp, or similar
Knowledge base setup (if required)
Testing across real scenarios and edge cases
Team training and handover documentation
4-week post-launch support period
OUR PROCESS
Process
Step 01 — Map We spend time understanding how your team actually works. Interviews, process documentation, and tool audits produce a clear picture of where automation adds value and where it creates risk.
Step 02 — Design We design each agent's logic before writing a line of code. Inputs, outputs, decision trees, and edge cases are documented and agreed. You know exactly what you're getting before we build it.
Step 03 — Build & Integrate We build the agents and connect them to your existing systems. Everything is tested against real scenarios — not synthetic inputs in a clean environment.
Step 04 — Deploy, Train & Support We deploy with your team, not to them. Training, documentation, and a support period ensure the agents get used — and keep getting better.
BEST SUITED FOR
Best Suited For
Teams spending significant time on repetitive, rule-based tasks
Organisations wanting to leverage existing tools more intelligently
Founders wanting leverage without increasing headcount
Businesses with content, data, or communication workflows that could be partially automated
Teams that have tried AI tools and found them too generic or unreliable
Anyone who wants practical automation rather than an AI experiment
FAQs
What kinds of workflows are best suited to AI agents?
Do we need a technical team on our side?
Which tools can you integrate with?
What if an agent makes a mistake?
How is this different from just using ChatGPT or off-the-shelf AI tools?
What's the investment?
How long does it take?
Investment From
£4,000
Timeline
3-10 weeks
tags
Typical scope Workflow audit
Agent design
Build
Integration
Training
Support
Ready to stop doing the work your systems should be doing?
Tell us where your team is losing time. We'll map what can be automated and build it properly.