A view of how work happens
We map selected workflows with the people doing the work, including repeated steps, bottlenecks, exceptions and decisions that need human judgement.
The AI Audit
Find the AI opportunities
worth acting on.
You may have a list of ideas, a few tools in use or a sense that your team spends too much time on repetitive work. An AI Audit turns that starting point into practical decisions.
When it helps
Does this sound
like your business?
- Your team is experimenting with AI without a shared direction.
- Information moves between spreadsheets, inboxes and disconnected systems.
- You want to compare opportunities before committing to a build.
- You need a clearer view of data, access and process changes.
What the work produces
Useful outputs. Clear decisions.
A shortlist of practical opportunities
Each opportunity connects to a business need, such as preparing reports, finding information, handling enquiries or reducing repeated administration.
Readiness and dependencies
We identify relevant systems, data sources, access requirements and team considerations. Missing information and assumptions are made visible.
A prioritised roadmap
Recommended next steps consider potential value, effort, risk and readiness. That might mean a small pilot, a process change or an idea to revisit later.
From discussion to action
How the work takes shape.
Start with priorities
Agree the area to investigate and what you want the audit to help you decide.
Look at the work
Speak with relevant people and review agreed examples, systems and information.
Weigh the options
Assess opportunities and identify practical constraints and dependencies.
Make a plan
Discuss the trade-offs and choose recommended next steps.
What we agree before work starts.
An audit can cover one workflow, a department or a broader part of the business. We agree what will be reviewed, the people and information needed, and any limits on the findings.
Good questions
A few useful answers before we talk.
Have something more specific in mind? Let’s talk about your business.
Do we need an audit before you build anything?
No. If the problem and requirements are already clear, we can discuss implementation directly. An audit is one way to reduce uncertainty, not a compulsory first step.
Do we need clean, organised data?
No. Understanding the condition of your data is part of assessing readiness. Some opportunities may need preparation before a build makes sense.
Will you recommend AI for every process?
No. Some problems are better addressed through simpler automation, clearer processes or changes to existing tools.
Let’s find your starting point
Tell us where work gets stuck.
We can discuss whether an audit, a focused build or another next step fits.
Book a free 60-minute session