01
The three readiness tests
A process worth automating is repeatable, has defined inputs and outputs, and has a human owner who can describe the exception handling. If any of those are missing, automation will make the mess faster.
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Technology & Automation10 min read20 May 2026AI Explorer Media — Technology practice
Marketing automation readiness: fix the plumbing before buying the robot
Automation amplifies what already works. A readiness checklist to decide whether your data, processes and team can support scaled automation.
Key takeaways
- Automate a working manual process, not a broken one.
- Clean data and clear ownership matter more than tool choice.
- Start with one workflow and prove it before scaling.
02
Data quality before tool selection
Automation depends on reliable identifiers and field values. Audit duplicates, missing values and field definitions before connecting systems. Bad data does not become good data because it moved automatically.
03
Pilot one workflow end to end
Pick the highest-volume, lowest-complexity workflow. Map it manually, then automate one step at a time. Measure error rate and time saved. Only expand once the pilot is stable for 30 days.
04
Ownership and exception handling
Every automated workflow needs a named owner and an exception queue. Exceptions are not failures — they are the signal that the workflow needs adjustment. Without an owner, exceptions pile up and trust in automation collapses.
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