A practical checklist for source boundaries, human review, exceptions, monitoring and ownership in managed AI workflows.
Start with the operating decision
The useful question is not whether a tactic or tool is available. It is what decision, handoff or commercial outcome the system must improve.
Define ownership and evidence
Assign an owner, define the source of truth and decide what evidence will show that the implementation is working. This prevents activity from being mistaken for progress.
Connect the complete journey
Pages, campaigns, CRM stages, follow-up and reporting should share consistent identifiers and definitions. The system should be able to explain where a lead came from, what happened next and whether it became qualified pipeline.
Review exceptions
Every operating system has exceptions. Define how they are surfaced, who resolves them and how the process improves after real-world use.
Use a focused first implementation
Begin with the highest-value constraint that can be measured. Expand only after the first layer is reliable and the business case is visible.