Prepare the people
Explain what changes, what stays with humans and how success will be assessed. Involve the people affected early.
AI change management
Make the new way of working stick.
Technology only becomes useful when people know how to use it and what they are responsible for. Build adoption, skills and governance into the implementation.
Roles
Skills
Responsibilities
A supported change plan
Adoption
Confidence
Accountability
What we work through together.
Build working practices
Create role-specific learning, review routines and a sanctioned alternative to uncontrolled tool use.
Review adoption
Look at use, quality and exceptions together. Address obstacles before adding more tools or expanding the scope.
What you leave with.
Clear outputs, not an open-ended conversation.
- A stakeholder and impact review
- Role-specific learning pathways
- Working guidance and human decision boundaries
- Adoption and quality review points
Change management runs alongside strategy and engineering. It is not a training session added after the build is finished.
We confirm deliverables, responsibilities and commercial terms before work begins.
Your questions, answered.
Can we start with a single team?
Yes. A defined team, workflow or business question often gives the first engagement a useful boundary.
Will you replace our existing tools?
Only where the business case calls for it. We begin with what you already use and assess where to build, integrate or simplify.
What does it cost?
Start with the £97 public workshop or discuss a private engagement. The £997 assessment and £20,000 90-day sprint have separate, agreed scopes.
Tell us what needs to change.
We will help you identify an appropriate starting point and explain the scope before you commit.