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Artificial Intelligence

AI Readiness Assessments

Do the data and processes support AI?

An assessment of whether your data, processes, infrastructure, and governance can actually support AI before anyone commits budget. Most failed AI projects were not ready rather than not clever enough.

When this applies

You may need this if

  • There is pressure to adopt AI but no agreed use case
  • Data is spread across systems in inconsistent formats
  • Nobody has assessed the privacy or security implications

Scope

What the engagement covers

  • Business objective and workflow review
  • Data availability and data quality assessment
  • Technology infrastructure review
  • Employee readiness assessment
  • Security and privacy considerations
  • Candidate use-case identification
  • Implementation risk, cost, and expected value analysis
  • Governance requirements review

Outcome

What you are left with

  • An honest answer on whether you are ready, including if you are not
  • A prioritised adoption roadmap
  • Cost and value estimated before commitment

Commonly delivered alongside

Artificial Intelligence

AI Strategy

Prioritised use cases and a roadmap.

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Artificial Intelligence

Responsible AI

Policies, oversight, and guardrails.

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Artificial Intelligence

Data Analytics

Dashboards, forecasting, and insights.

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