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AI adoption

AI readiness starts with workflow clarity.

AI projects work better when the SME knows the process, data, decision rules, and expected output. If those are unclear, start smaller.

Fast rule: Do not buy AI because a grant may support technology. Use AI when a repeated workflow has clear inputs, rules, quality checks, and business value.

Good early AI use cases

  • Lead qualification and enquiry routing.
  • Customer support draft replies with human review.
  • Internal knowledge search over SOPs and documents.
  • Report summarisation from structured data.
  • Operations assistants for repetitive admin decisions.

Weak AI project signs

  • No clear owner after launch.
  • Data is missing, messy, or trapped in multiple systems.
  • The vendor cannot explain failure modes or human review.
  • The project is described as “AI chatbot” without workflow scope.

Readiness questions

  1. What decision or output should AI assist?
  2. What data or documents will it use?
  3. Who checks quality?
  4. What happens when the answer is wrong?
  5. What metric should improve within 90 days?

Grant angle

Depending on scope, AI projects may sit closer to EDG-style transformation, SMEs Go Digital advisory, or a smaller internal pilot. Verify official grant routes before assuming support.