AI automation audit · the first step
An AI automation audit: find where AI saves the most time and cost.
Most studios sell a build. We start with a diagnosis. In a short engagement we map how your work really runs, find the repetitive manual effort, and rank where AI saves the most time and cost. You get a written plan to act on before anyone writes code.
What happens
Sit with the team
We talk to and watch the people who do the work, not only the managers, to see the process as it actually runs.
Map the process
We draw the process end to end: every step, handoff, system, and document, and where time is lost.
Rank the opportunities
Each repetitive task is scored by the time it takes, how often it happens, and what it would cost to automate and to run.
Agree what comes first
We recommend the one opportunity with the clearest payback, and say plainly which tasks are not worth automating.
What you get
- A process map of how the work runs today
- A ranked list of automation opportunities, with the reasoning behind each
- A cost and savings estimate: build effort, running cost, and time saved
- A written scope and success criteria for the first build
- A list of what should stay manual, and why
How long it takes
The audit is usually the first week of an engagement. Larger organisations with several processes or sites can take longer; we agree the scope on the first call.
What it costs
We agree the scope and price on a free first call, before any work starts, so there are no surprises. Tell us about the process you want to look at and we will tell you what the audit involves.
Who it is for
Small businesses, corporate teams, clinics, government departments, and industrial operations: anyone who knows their team loses time to repetitive work but is not sure where AI will pay. It works best when the people who do the work can spare a few hours to show us how it runs.
Case studies
Questions
What does an AI automation project start with?
With an AI automation audit. We sit with the people who do the work, map the process, and rank each repetitive task by time saved and cost to automate. You get a process map, a ranked list of opportunities, and a cost and savings estimate, and we agree in writing on the one worth building first.
How do you decide what is worth automating?
We start by sitting with the people who do the work and mapping the process. Then we rank each repetitive task by the time it takes, how often it happens, and what it costs to automate, and build the one with the clearest payback first. If AI is not the right answer for a task, we say so.
Can you automate paper-based or on-the-ground processes, not just software ones?
Yes. Many of the most repetitive tasks start on paper, in chat threads, or on a phone call. We have built voice reporting for field teams, where people speak a report and AI turns it into a structured record, and we can digitise forms, inspections, and records as part of the build. Where a step needs a person on site, the system supports them rather than replacing them.
Will AI replace my team?
No. We target the repetitive, time-consuming tasks that fill people’s days: copying data between systems, chasing documents, answering the same questions, compiling reports. Your team keeps the work that needs judgement, relationships, and exceptions, and every system we build has checkpoints where a person approves or takes over.
Tell us where time goes today. We’ll show you what we’d automate first.
