AI automation is the practice of converting a repeated human workflow into a system that an AI model executes reliably, with clear inputs, clear outputs, and a measurable cost per run. We design these systems around your existing tools, deploy them into your real workflows, and monitor them so the outputs stay correct and the model costs stay predictable.
AI Automation.
We replace the manual, repetitive, error-prone work inside your business with reliable AI systems that run themselves. Real operational infrastructure, not chatbots and not prompts buried in a Notion doc.
Expected outcomes
- 60-80%
- Reduction in manual admin time
- < 6 weeks
- From kickoff to first system live
- 24/7
- Lead capture, qualification, and follow-up
- Predictable
- Monthly cost per workflow, monitored
What it is
The work itself.
Who it is for
The shape of fit.
- Service businesses spending 20+ hours a week on repeatable admin
- SaaS teams losing leads to slow qualification or first-response delays
- Operations leaders who have already tried Zapier or Make and hit their ceiling
- Founders who need a calmer week without hiring a virtual assistant
How we ship it
Four phases, no surprises.
Workflow audit
We sit with your team for a half-day, watch the actual work happen, and write down every repeated decision. Most clients are surprised what they find.
System design
We design the automation as an architecture diagram first, before any code. You see exactly what flows where, what the AI decides, and what stays human.
Build and integrate
We build the workflow, wire it into your existing tools (CRM, inbox, Slack, calendar), and test it on real-world data for a week before it goes live.
Monitor and iterate
Every workflow ships with a dashboard. You see what it ran, what it cost, where it asked a human, and what it produced. Iteration is part of the engagement, not extra.
Stack
Tools we reach for.
What it costs
Pricing shape.
Most automation engagements fit a Build Sprint (under £20k) for a single workflow shipped, or a Partners engagement (£25k+) when you want a multi-workflow programme operated for you. See /pricing for the full set of engagement shapes.
See full pricingQuestions we get asked
AI Automation FAQ.
How is this different from using Zapier or Make myself?
Zapier and Make are excellent triggers. They are not architecture. Most homegrown Zaps break when the data shape changes, lack monitoring, and have no graceful failure path. We design the architecture, instrument it, and own the reliability.
What if the AI gets something wrong?
Every workflow has confidence thresholds and human-in-the-loop fallbacks for ambiguous cases. We tune both during the first month so the system catches edge cases before they reach the customer.
How predictable are the costs?
Every workflow has a measured cost-per-run after week one. We size the model and the prompt to the task, never the other way around. You get a monthly forecast with a 10% confidence interval.
Do we own the code and the data?
Yes. All code lives in your GitHub repo. All data lives in your accounts. We do not lock you in. If you stop the engagement, the system keeps running.
How long until we see real ROI?
First workflow live in 6 weeks. Time saved is measurable from week one. Revenue impact depends on which workflow you start with. Lead qualification typically pays for itself in 60 to 90 days.
Often paired with
Related disciplines.
SEO & Organic Growth
Search dominance that compounds, not stunts that decay.
Read more →Custom Software
Systems engineered for scale, owned outright by you.
Read more →Ready to scope this?
Start with a 20-minute call.
We will map your current state, identify whether ai automation is the right next move, and tell you what a sensible engagement would look like.