Episode 4 — Connecting Workflow Mapping to Data Integrity

Intro Your workflow map reveals where data quality breaks down.

Main Content Evaluate workflows through the five data integrity categories to identify inconsistencies, missing information, and tool misalignment.

Actionable Takeaways

• Highlight inconsistent steps.
• Identify incomplete data points.
• Note one tool connection needing improvement.

Outro Next: introducing the scoring system.

Pillar 1 Wrap‑Up

You now understand how data integrity and workflow clarity set the stage for automation. Next: the scoring framework.

Intro You need a clear picture of your processes before automating anything.

Main Content A simple approach to mapping workflows: outline steps, identify decision points, and highlight information movement.

Actionable Takeaways

• Map one workflow end‑to‑end.
• Mark any manual data transfers.
• Identify one decision point to standardize.

Outro Next: connecting workflow insights to your data integrity score.

Episode 2 — The Five Signals Your Business Is Ready for Automation

Intro Automation removes friction—not people.

Main Content Key readiness indicators: predictable workflows, consistent data entry, repeatable tasks, clear ownership, and integration‑friendly tools.

Actionable Takeaways

• List three repeatable weekly tasks.
• Identify one predictable workflow.
• Note one area with duplicate data entry.

Outro Next: mapping workflows to reveal automation opportunities.