AI Readiness Assessment
A short, on-site engagement that maps your workflows, data and tooling, and returns a scorecard and a ranked roadmap of where AI actually pays.
“We don’t know where to start”
That is the most common blocker we hear, and it is not solved by more AI tools. It is solved by looking at how the work actually runs and deciding, on evidence, which three things are worth doing first.
What we examine
Core workflows
Mapped end to end, including the manual steps and workarounds that never appear in a process document.
Data assets
Inventoried — what exists, where it lives, who owns it, and whether it is in any state to be used.
Current tooling
Evaluated honestly, including tools already bought and not adopted.
Automation opportunities
Identified and sized, separating what is genuinely automatable from what only looks it.
The scorecard
Scored across several dimensions, so progress can be measured again later rather than argued about.
Starter
Foundations missing. The first work is data and process, not AI.
Emerging
Real opportunities exist and can be sequenced. Most organisations land here.
Ready
Positioned to deploy and operate AI across multiple functions.
The engagement
On site
One to two consultants, on site and remote, over two to four weeks.
Map
Workflows, data and tooling documented as they actually run today.
Score
An AI Readiness Scorecard across the dimensions that determine whether AI will hold.
Prioritise
A shortlist of projects ranked by return and by ease of implementation.
Flat fee, priced for mid-size organisations. Train first where grant funding applies — most teams get further from subsidised training before they commission an assessment.
Find what is worth doing
A scorecard you can act on, and a roadmap ranked by return.
Start the conversation