AI Adoption Assessment
Where AI creates real value, and where it doesn't
We assess AI readiness across three areas, from the technical to the organisational. The result is an opportunity map and a realistic adoption plan.
Plenty of hype, and plenty of confusion about what's actually useful
Organisations experiment piecemeal, often going no further than a chatbot, with no overall view of where investment pays off. The pattern is familiar: early enthusiasm, projects that don't scale, then disappointment.
Signs you need an assessment
Isolated experiments that never turn into a process
Unofficial use of LLM tools on personal accounts
A lot of time spent on documentation and repetitive tasks
No way to be sure the results are reliable
Doubts about privacy, compliance and whether the costs are sustainable
Difficulty telling what's useful apart from the hype
The three areas of the assessment
We map how well your strategic vision for AI matches where you actually stand, technically and organisationally. Where the two meet is where you see what's worth investing in.
Strategic direction
Aligning the assessment with strategy and objectives, across five dimensions
- Leadership, vision and strategy
- Value and use cases
- People, skills and training
- Culture and change management
- Governance, risk and resources
Outcome
An analysis of the strategy the leadership has set
Technology landscape and tools in use
Where you stand technologically, so you know what to improve
- Inventory of current software and licences
- Governance and policy for software tools
- Mapping your hardware estate, cloud or on-premises
- Weak points in infrastructure, systems and architecture
Outcome
A map of your software and the points where agentic AI solutions could be integrated
Understanding of, and willingness to use, AI
We measure people's competence and their willingness to use AI
- Theoretical and practical literacy: knowing what it is and knowing how to use it
- Actual use: which tools, how often, for which tasks
- Attitude and sentiment: willingness, enthusiasm or fear
- Perceived impact on one's own job: useful or threatening?
- Self-efficacy and barriers: do I feel capable, and what holds me back
- Willingness to lead the way, as a champion or mentor
Outcome
An attitude map: who can lead, who needs training, who needs listening to, and where to start
How it works
A straightforward method, built around how your organisation actually works
Leadership interviews
Your department's objectives, priorities and constraints. We map the big picture and the technology landscape.
Team questionnaires
A broad, quick read on AI use and expectations, with ad hoc interviews where it's worth going into more detail.
Final review
A meeting with management to walk through the evidence and the possible solutions.
What you get
An understanding of how well your AI strategy and day-to-day practice line up
A multidimensional view that cross-references strategy, technology and people
Opportunities worth pursuing
What we leave you with
A clear report, presented in a meeting with management
The findings for each area we analysed
A summary document covering what was discussed
A list of projects to help you reach your goals
Further reading in Learn
Articles by our team that look closely at the issues behind this challenge
AI in business: what actually works and where to start
AI isn't a tool you buy. It's change you have to manage. A practical guide for anyone running a business: where to start, what to avoid and when it actually works.
Mandatory AI training at work: compliance obligation or competitive advantage?
Since 2 February 2025, every company using AI tools has had to provide adequate training. Treat it as a compliance box to tick and it's a cost. Treat it as an investment and it's the first step towards adopting AI with real results.
Request the AI Adoption Assessment
We'll be in touch to schedule a first conversation and define the scope