CI-301h · Module 3

Automating Recurring Products

3 min read

Each stage of the production workflow has a different automation potential. Collection: 80-90% automatable through scheduled pipelines and AI-assisted filtering. Analysis: 50-60% automatable through AI pattern detection and template-based frameworks. Drafting: 40-50% automatable through AI-assisted summarization and template population. Review: 10-20% automatable through automated compliance checking. Delivery: 95% automatable through scheduled distribution. The automation strategy focuses on the stages with the highest automation potential to free analyst time for the stages where human judgment is irreplaceable.

Do This

  • Automate collection and delivery first — highest automation potential with lowest risk
  • Use AI-assisted drafting with human review — the AI produces a draft, the analyst validates and refines
  • Keep human judgment in the review and interpretation stages — these are where quality is determined
  • Measure time savings from each automation to demonstrate ROI and justify further investment

Avoid This

  • Automate review because it is the bottleneck — the bottleneck exists because quality requires human judgment
  • Deploy AI drafting without human review — one bad product delivered automatically damages trust more than one late product delivered accurately
  • Automate everything simultaneously — prioritize by potential and risk, then sequence the rollout