Automation audit
We sit with the people doing the work and inventory the repetitive tasks — what it is, how often, how long, which systems it touches. Then we rank by hours saved against effort to build.
03 — AI implementation & business automation
You don’t need another AI strategy presentation. You need someone to find the three things your team does over and over, build the thing that does them instead, connect it to the software you already pay for, and stay around while it settles in.
Where the hours actually go
In most small businesses this is somewhere between five and twenty hours a week, spread thin enough that nobody notices it as a cost.
The problem
The gap isn’t belief or budget — it’s implementation. Business owners don’t have time to learn a new category of software, and consultants who explain AI beautifully often can’t build it. We sit on the build side of that line.
Before & after
No abstractions. These are the kinds of workflows we build, in the order businesses usually want them.
Every inbound lead is answered by hand, in office hours, in the order someone happens to see them.
An AI assistant replies in under a minute at any hour, asks your qualifying questions, offers real calendar slots and routes a briefed lead to the right person.
The phone rings during a job and goes to voicemail. Most callers don’t leave one.
Missed calls trigger an instant text back that starts a conversation, captures the details and books the appointment.
Someone spends hours a week copying job details between the CRM, the scheduler, the accounting software and a spreadsheet.
The systems are connected. Data is entered once and stays correct everywhere, automatically.
Estimates are written from scratch each time, and open quotes are followed up only when someone remembers.
Drafts generate from your own pricing and past jobs for a human to approve in a minute, then open quotes chase themselves on a schedule.
New hires interrupt your best people twenty times a day with questions that have documented answers.
An internal assistant trained on your pricing, process and paperwork answers instantly and cites the source document.
Monthly reporting is a day of copy-paste, so it happens late or not at all.
Numbers pull automatically into one dashboard, with a written summary in your inbox every Monday morning.
Reviews, emails and messages pile up unanswered because writing a good reply takes real time.
Drafts are ready in your tone, with context attached. A human approves and sends in seconds.
What we build
The front door: everything that touches a prospect or customer before a human does.
The plumbing: getting the tools you already pay for to work as one system.
Turning what your best people know into something the whole team can reach.
Knowing what’s happening without anyone assembling a spreadsheet.
The process
We’d rather ship one automation that saves six hours a week than spend three months designing a transformation programme.
We sit with the people doing the work and inventory the repetitive tasks — what it is, how often, how long, which systems it touches. Then we rank by hours saved against effort to build.
We pick the highest-payback, lowest-risk item and build it end to end. You get something working in weeks, not a roadmap. It either saves the time we said it would or we adjust before doing more.
Once the first one is proven and the team trusts it, we build the next. Each addition is scoped, measured and documented on its own so nothing becomes a black box.
Software changes, APIs break, businesses evolve. We monitor what we build, fix it when something upstream shifts, and keep improving it as the model landscape moves — which it does, constantly.
How we build it
Pricing, contracts, complaints and anything clinical or legal keeps a person approving before it goes out.
AI answers from your approved information, escalates when uncertain, and logs everything so you can audit it.
Business-tier services that don’t train on your data, built in your accounts, with the data flows written down.
Every automation is monitored. If something breaks, you get told — you don’t discover it in a month.
Anyone technical should be able to pick up what we built and maintain it. Including someone who isn’t us.
Some things shouldn’t be automated, and some aren’t worth the build cost. We say so before you pay for it.
What it costs
Software and AI usage costs are paid directly by you to the vendors, never marked up.
FAQ
Next step
Bring one process that annoys you. On the call we’ll map it, estimate the hours it’s costing you per week, and tell you honestly whether it’s worth automating — including when the answer is no.
Free · 30 minutes · You leave with a prioritised list either way