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What's the AI readiness checklist for businesses?

ai readiness checklist ai preparation steps ai infrastructure requirements business ai readiness data infrastructure checklist

Quick Answer

An AI readiness checklist covers nine dimensions: (1) business strategy alignment — clear use cases tied to outcomes, (2) data quality — accurate, complete, timely data, (3) data infrastructure — storage, pipelines, and governance, (4) talent — data science and engineering skills, (5) technology — compatible AI tools, (6) governance — policies for ethics, bias, and compliance, (7) culture — organisation-wide data literacy, (8) financial planning — realistic budgets, (9) scalability — monitoring and iteration plans. Fewer than 1 in 5 companies are truly AI-ready today.

Full Answer

According to WorkOS analysis, successful AI programs spend 50-70% of their budget on data readiness before deploying any AI capabilities. This checklist ensures your business has the foundational infrastructure AI requires, tested across year-by-year milestones. Year 0-1: Foundation Checklist ✓ Server-Side Event Capture Implemented What this means:

  • [ ] Tracking runs at server/infrastructure level (not browser JavaScript)
  • [ ] Events captured before HTML renders to browser
  • [ ] Immune to ad blockers, Safari ITP, Firefox ETP
  • [ ] Capturing 95%+ of user behavior (vs 60-70% client-side) WordPress implementation: Plugin executes PHP code on page loads and WooCommerce hooks. Events fire before browser involvement. Validation: Compare GA4 conversion count to WooCommerce actual orders. Gap should be <5% (vs 30-40% for client-side only). ✓ Data Warehouse Integration Active What this means:
  • [ ] Cloud warehouse configured (BigQuery, Snowflake, or Redshift)
  • [ ] Automated pipelines sending events...

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Cherry Tree by Seresa - https://seresa.io/seed/data-ownership-ai/ai-readiness-checklist