AI Transformation · AI Consulting
AI Adoption & Change Management
AI changes how people work. We plan that change role by role, write the rules people can follow, train teams on their own workflows and measure adoption after launch, so the investment shows up in daily work.
Adoption plan, by role
Prepare
Launch
Sustain
Executives
Sponsor and set targets
Explain why it matters
Review the results
Managers
Plan workload changes
Coach their teams
Track use and quality
Front-line teams
Learn on real workflows
Use it, with support
Share what works
IT, risk and legal
Set access and policy
Support and monitor
Update the rules
How to get started
Three steps to a plan for AI Adoption & Change Management
- 1Tell us what you needUse the project form or book a call. A few sentences about the goal is enough to start.
- 2Free technical consultationWe go through your goals, users, existing systems and constraints with you.
- 3Your planA detailed plan covering the right tech stack, architecture, timeline and budget. Then you decide.
By role
What changes, for whom
Choose a role to see what changes for it, how we prepare it and how its adoption is measured.
What changes
The steps of their daily work, and which of them now start with an AI draft or suggestion.
How we prepare them
- Hands-on training on their own workflows
- Job aids and prompt examples for their tasks
What they own after launch
Using the tool where it helps, and reporting where it doesn't
How adoption is measured
Tasks completed with AI, time per task and quality checks passed
Usage rules
Rules people can follow
A usage policy works when it fits on a page and answers the questions people actually have. Ours covers five.
- 1Which data, with which toolsWhat may be entered into which AI tools, and what must never leave your systems.
- 2When a person must checkThe outputs that need review before they are used, sent or acted on.
- 3Telling customersWhen and how to disclose that AI was used in work customers receive.
- 4When something goes wrongHow to report a wrong answer, a data concern or misuse, and who responds.
- 5Who to askNamed contacts and champions for questions about the tools and the rules.
Measures
How adoption is measured
Agreed before launch, with a baseline taken before the tool arrives, so the results can be compared.
Active use
The share of intended users who use the tool in a typical week.
Depth
The share of eligible tasks completed with AI, not just occasional use.
Quality
Errors and rework on AI-assisted tasks, against the pre-launch baseline.
Outcome
Time or cost per task, against the same baseline.
Sentiment
What users report in short, regular surveys, and what they ask for.
Deliverables
What you receive
- A change impact assessment by role
- An acceptable use policy and guardrails
- A communications plan for each audience
- Role-based training on real workflows
- Job aids and prompt examples by task
- A champion network
- An adoption dashboard with the measures above
- A sustainment plan for after launch
Alongside adoption
Where the work goes next
- Enterprise AI IntegrationAI Governance & Risk ManagementPut the usage policy inside a governance model with owners and controls.
- AI Product EngineeringMLOps & AI OperationsTrack usage and results in production, alongside system performance.
- AI Product EngineeringGenerative AI DevelopmentBuild or extend the assistants teams are asking for, grounded in your content.
Questions
Questions about
AI Adoption & Change Management
When should adoption work start?
Before launch. The change impact and the usage policy should be ready when the tool is, and training should use the real workflow, not a demonstration.
Does this apply to licensed AI tools as well as custom ones?
Yes. The same plan applies whether the AI is a tool you have licensed or a system we have built for you.
Do you train our staff directly?
Yes, and we train internal champions alongside them, so training continues after we leave.
How do we know adoption has worked?
By the measures agreed before launch, active use, depth, quality, outcome and sentiment, reported against the baseline taken before the tool arrived.
How is a project priced?
Well-defined scopes are delivered as fixed-price engagements; when requirements are still evolving, we provide a dedicated team instead. Either way, the free technical consultation ends with a plan covering tech stack, architecture, timeline and budget, so you know the cost before work starts.
AI Consulting
Other services in this line
- AI Strategy & RoadmapUse cases ranked by value and feasibility, a business case for the priorities, and a sequenced roadmap with platform and model choices.
- AI Readiness AssessmentA scored review of your data, technology, skills, governance and operating model, with the gaps to close before you invest.
Ready to talk about AI Adoption & Change Management?
Start with a free technical consultation: a plan covering the right approach, architecture, timeline and budget for your AI work.
Start a project