Evidence preservation is pulling against the need to keep AI Teammate workflows running.
A clean rebuild protects active enterprise work, while an untouched build environment protects the ability to establish what the dependency did.
Who you’d be doing this for
“My leadership review starts tomorrow, and half the follow-up work is just sitting there untouched.”
Shan Tanaka · Program Manager
Runs enterprise delivery programs that rely on AI Teammates to create and update coordination tasks.
What is at stake
AI Teammate actions are failing for some enterprise projects as a suspect npm package appears in build activity. You must weigh a fast clean rebuild against preserving the evidence needed to establish customer impact.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- enterprise workflow continuity vs. forensic preservation
- clean build recovery vs. complete incident scope
- rapid isolation vs. production stability
- customer-data protection vs. uncertain evidence
Why Asana
AI Teammate actions operate on enterprise work in the Work Graph, making build-environment integrity central to customer trust.
Written with these in mind
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This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.