AI Automation
AI automation for the jobs your team still does by hand
Automation that clears the copy-paste, re-keying and follow-ups nobody has time for, without removing the person from decisions that still need one.
The clearest case is a missed call. Someone rings while you're on a roof or under a sink, it goes to voicemail, and by the time you ring back they have already booked someone else. A text that fires the moment the call drops turns a lost job into a conversation, and it never depends on anyone remembering to send it.
The same reasoning covers the rest of the back office: quotes typed out by hand, job details re-keyed from one system into another, follow-ups that live in somebody's head. Those are mechanical steps, and mechanical steps are what automation is genuinely good at.
Where a language model does the work (search, drafting, classification), the review step is built into the workflow rather than bolted on afterwards. The cost of a wrong answer going out unreviewed is almost always higher than the cost of someone spending thirty seconds confirming it. Automation that removes that checkpoint to save the thirty seconds is optimising for the wrong thing.
What AI Automation covers
Capabilities
- Internal workflow and back-office automation
- LLM features in your product: search, drafting, classification
- Document and data pipelines with human review built in
What you end up with
- Missed calls answered in seconds, without anyone lifting a phone
- Job data moving between systems without being typed twice
- A review step wherever a decision actually needs a person
When this is the right call
Phrased the way the problem usually arrives, rather than as a service category.
We're missing calls and losing jobs to it
No one answers after hours, and by the time you call back, they already booked someone else.
Our booking and follow-up is still manual
Texting back and forth, writing quotes by hand, hoping nothing falls through the cracks.
Common questions
- Does this replace my team?
- No, and we would push back on a brief that asked for it. The mechanical steps get automated: copy-paste, data entry, the first-pass draft. Anything involving judgment keeps a person in the loop by design, because that is exactly where the cost of being wrong is highest.
- What is the smallest useful version of this?
- Usually a missed-call text-back. It is self-contained, it takes days rather than weeks, and it pays for itself the first time it saves a job. It is a common starting point precisely because it does not require changing anything else about how you work.
- Do I need to replace the software I already use?
- Usually not. Most of this work sits between the tools you already have rather than replacing them. The value is in the handoffs, which is where the manual re-keying happens today.
How a AI Automation project runs
The same four stages as every project we take on. Discovery is free, and the scope and price come before the work starts.
- 01
Discovery
We start by understanding your business, users, and constraints, not by jumping straight to a solution.
- 02
Design
Wireframes and UI design grounded in what your users actually need, reviewed with you before any code is written.
- 03
Build
Iterative development with regular check-ins, so you see progress continuously instead of waiting for a big reveal.
- 04
Launch
We ship, monitor, and support the handoff. Launch is the start of the relationship, not the end of it.
Get a scoped AI Automation project and a real price in 48 hours. Free.
Tell us what’s slow, missed, or manual right now, and we’ll tell you what it costs and how long it takes.
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