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PUB-011/Case Study/Aug 2026

AI readiness as a practical digital-transformation entry point

Case study on designing free, plain-English tools that help SMEs move from broad AI interest to a proportionate next step.

Business value

A useful first interaction can reduce discovery friction and help a leadership team distinguish readiness constraints from attractive but premature use cases. The assessment is a conversation starter, not a guarantee of project success.

Evidence and measures
  • - AI Readiness Assessment uses 20 questions across six readiness areas.
  • - Simam AI Hub launched with 11 tools, three personas and ten language surfaces according to its build record.
  • - Longitudinal evidence linking scores to successful projects is not yet available.
Research Questions
  1. 01Can a no-sign-up tool create a useful first decision without pretending to replace discovery?
  2. 02Which readiness signals are most predictive of a successful first AI project?
  3. 03How should assessment outputs flow into architecture, ROI and roadmap conversations?
Method
  1. 01Use plain-language questions across strategy, data, technology, people, operations and governance.
  2. 02Give the user a practical next action before asking for contact details.
  3. 03Separate educational guidance from recommendations that require professional discovery and domain evidence.
Evidence
  1. 01AI Readiness Assessment live tool.
  2. 02Simam AI Hub live strategy workspace.
  3. 03Tool case-study records and launch notes.
Next Steps
  • Collect anonymised outcome feedback from organisations that complete the tools.
  • Test whether readiness recommendations lead to clearer project briefs.
  • Connect the strongest outputs to reusable AI harness and blueprint templates.
Related live work
AI Readiness Assessment ->Simam AI Hub ->
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