Skills and confidence
Who is using AI, where teams need support, and which responsibilities should be clear.
AI Adoption Review
A clear view of how AI is helping today and where teams need support.
A focused review of how people use AI across selected work, which tools are involved, where value is appearing, and which gaps make adoption harder or less controlled.
The review
Understand the current position without launching a large assessment.
The review combines existing information with structured team conversations and selected workflow examples. Technical data is used where it strengthens the picture.
Tasks and workflows
Where AI saves time, improves quality, creates new capacity, or changes an important decision.
Technology choices
Which tools fit the company, what is already in use, and where duplication or dependency appears.
Proportionate safeguards
Simple ownership, data rules, checks and escalation matched to the real consequence of the use.
Outputs
A clear adoption picture and a short list of priorities.
01
Current adoption map
Which tools and features are used, by whom, for which work, and with what apparent benefit.
02
Friction and support needs
Where skills, confidence, process design, data access or unclear rules hold teams back.
03
Practical risk view
The uses that need clearer ownership, review, data handling or a decision to stop.
04
90-day recommendations
A prioritised sequence of enablement, workflow, technology and governance actions.
Optional data acceleration
Swarmix can reduce reliance on interviews and reconstructed snapshots.
If chosen, Swarmix can generate cross-tool data about adoption and operating patterns. The review also works without it.
Next step
One team or one adoption question is sufficient.
A narrow review should produce a useful decision quickly. Broader scope is optional.