AI Readiness Assessment.
10-Minute Scorecard.
Find your strengths, fix the gaps, and get a practical action plan to put AI to work in your business.
What you get:
See where you’re ready (and where to improve) in 5 key areas. Simple yes/no questions - no jargon. Clear next steps you can action this week.
- Strategy: alignment to business goals, use cases, roadmap, integration with overall strategy
- Data: quality, governance, security, collection/updates, cleaning processes
- Technology: infrastructure fit, cloud access, right tools, scaling plan, reliability
- People: skills, training, expert partners, culture of innovation, change planning
- Ethics & Change: ethics policy, regulatory compliance, bias monitoring, transparency, org change
What you’ll learn:
- Your AI readiness score (out of 25): a quick snapshot of where you stand today.
- Section scores: Strategy, Data, Technology, People, Ethics & Change
- Immediate next steps: a short list of priority actions to lift your score.
- Where AI can drive ROI first: time saved, faster response times, and revenue opportunities.
The assessment uses 5 sections with 5 yes/no questions each. Total your ‘yes’ answers for a score out of 25, then review section scores to see strengths and gaps.
Why this matters:
- Save time fast: free your team from repetitive tasks so they can focus on high-value work
- Lift customer experience: respond faster, 24/7, with accurate information
- Stay competitive: test small, learn quickly, and scale what works.
How it works:
- Answer 25 yes/no questions across five areas: Strategy, Data, Technology, People, Ethics & Change.
- Add up your ‘yes’ answers to get your overall score out of 25 plus section scores.
- Use your results to prioritise what to fix first and book a quick consult for tailored next steps.
Scoring guidance: 4–5 in a section = you’re in good shape; 3 or lower = opportunity for improvement.
Who it's for:
- Service-based SMEs with 5+ staff
- Owners and managers who want plain-English guidance and measurable outcomes
- Teams ready to start small, prove value, and scale what works.