A deletion request should not become a Slack archaeology project.
Legal should not have to chase ML, infra, vendors and support just to understand what changed.
If an enterprise has ten AI tools, five data stores, three vendors and one deletion request, who owns the answer?
That coordination gap is a product opportunity.
A lot of AI tools are optimized for onboarding.
Very few are optimized for offboarding.
The next wave of trust will come from making exit flows as serious as signup flows.
The deletion problem is not only technical.
It is emotional too.
People do not want to hear “your record is gone” if the system still behaves like it remembers them.
The most underrated enterprise AI feature is not speed.
It is defensibility.
Can the team explain what happened when something sensitive had to be removed?