START AI Assessment Specification by Agencywebdev | May 18, 2026 | 0 comments Discover Your AI ReadinessEvaluate how prepared your business is for AI adoption across the five stages of the START framework.Before you start — one thing worth knowingMost business software now has AI built into it. Your accounting package, your email, your design tools. You didn't choose that; it arrived.This assessment isn't about those features. It's about the decisions you've made. So when a question asks about your AI use, answer about what you've deliberately chosen to do — not what turned up in software you already had.If nothing has been deliberate yet, that's a perfectly normal answer, and the report you get back will be far more useful for it.⏱ Takes 3–5 minutes · 25 questions · Your answers are private 1. S — Set the VisionWe’ve talked about where AI should not be used. Not true for us Rarely true Sometimes true Mostly true Completely true None 2. S — Set the VisionWe know what success would look like if AI works well. Not true for us Rarely true Sometimes true Mostly true Completely true None 3. S — Set the VisionOur leadership team has aligned on how AI supports our strategic priorities. Not true for us Rarely true Sometimes true Mostly true Completely true None 4. S — Set the VisionWe know what we want AI to do for our business Not true for us Rarely true Sometimes true Mostly true Completely true None 5. S — Set the VisionWe’ve considered how AI might affect our team’s ways of working. Not true for us Rarely true Sometimes true Mostly true Completely true None 6. T — Target Use CasesWe focus on real business problems, not just new AI tools. Not true for us Rarely true Sometimes true Mostly true Completely true None 7. T — Target Use CasesOur AI decisions are driven by our own business needs, not external pressure. Not true for us Rarely true Sometimes true Mostly true Completely true None 8. T — Target Use CasesWe choose AI ideas based on impact and practicality. Not true for us Rarely true Sometimes true Mostly true Completely true None 9. T — Target Use CasesWe have formally documented or prioritised at least one AI use case. Not true for us Rarely true Sometimes true Mostly true Completely true None 10. T — Target Use CasesWe think about risks (privacy, accuracy, compliance) before moving forward. Not true for us Rarely true Sometimes true Mostly true Completely true None 11. A — Assess ReadinessWe know whether our data is accurate, accessible, and safe to use with AI tools. Not true for us Rarely true Sometimes true Mostly true Completely true None 12. A — Assess ReadinessWe understand how AI might change daily work. Not true for us Rarely true Sometimes true Mostly true Completely true None 13. A — Assess ReadinessWe’ve identified the gaps that need addressing before we can expand AI use. Not true for us Rarely true Sometimes true Mostly true Completely true None 14. A — Assess ReadinessWe’ve thought about governance, security, or legal concerns related to AI. Not true for us Rarely true Sometimes true Mostly true Completely true None 15. A — Assess ReadinessWe understand what skills or knowledge we’re missing. Not true for us Rarely true Sometimes true Mostly true Completely true None 16. R — Run a PilotWe defined what success meant before testing an AI idea. Not true for us Rarely true Sometimes true Mostly true Completely true None 17. R — Run a PilotWhen we test AI ideas, we capture structured lessons afterward. Not true for us Rarely true Sometimes true Mostly true Completely true None 18. R — Run a PilotWe've agreed when AI output needs a human check before it's relied on. Not true for us Rarely true Sometimes true Mostly true Completely true None 19. R — Run a PilotWe’ve tested at least one AI idea in a structured way. Not true for us Rarely true Sometimes true Mostly true Completely true None 20. R — Run a PilotWe evaluate both measurable outcomes and team adoption feedback when testing AI. Not true for us Rarely true Sometimes true Mostly true Completely true None 21. T — Turn into ValueIt’s clear who is responsible for AI decisions in our business. Not true for us Rarely true Sometimes true Mostly true Completely true None 22. T — Turn into ValueWe regularly review whether the AI we've adopted is delivering what we expected. Not true for us Rarely true Sometimes true Mostly true Completely true None 23. T — Turn into ValueThe AI tools we've deliberately adopted are actively used and seen as genuinely helpful by the people using them. Not true for us Rarely true Sometimes true Mostly true Completely true None 24. T — Turn into ValueWe have a process for deciding whether to expand, adjust, or retire AI initiatives. Not true for us Rarely true Sometimes true Mostly true Completely true None 25. T — Turn into ValueWe track whether AI is saving time, reducing cost, or improving results. Not true for us Rarely true Sometimes true Mostly true Completely true None 1 out of 5 Time's upSubmit a Comment Cancel replyYour email address will not be published. Required fields are marked *Comment *Name * Email * Website Save my name, email, and website in this browser for the next time I comment.
