AISPM: Why rollouts "may" go wrong AISPM = keeping AI safe, tracked, and under control.

AISPM: Why rollouts "may" go wrong

AISPM = keeping AI safe, tracked, and under control. It’s new. That means delivery risk is old and real.

I don’t fear the model. I fear the org chart.

Where teams "may" trip up

·        Slides ship, not software. Great deck. No SDK. No runbook.
·        Many tools, no path. We buy 12 products; devs get zero “how to use them together.”
·        One slow queue for everything. Simple FAQ bot waits behind “might touch money.”
·        Rules with no helpers. Policy says “don’t.” No templates that show “do.”
·        Endless exceptions. Waivers without expiry = permanent risk.
·        No traces. No prompt logs, no tool logs, no spend caps → can’t diagnose issues.

How to make it work

·        Build a small platform team. PM + senior engineer + red-teamer + risk. Publish SLAs.
·        Paved road first. Ship a tiny AISPM SDK, example app, and tool wrappers.
·        Tier the risk. Auto-approve low-risk stuff; fast exceptions with end dates for high-risk.
·        Policy-as-code in CI. Devs get feedback in minutes, not meetings.
·        Default to visibility and limits. Log prompts and tool I/O, scope permissions, rate-limit by task type, cap per-session spend, one-click rollback.

Rule of thumb: If AISPM doesn’t make builders faster by Month 3, they’ll route around it by Month 6.

Ship the road. Ditch the tape. If someone suggests another working group…I’m bringing a shovel. 🤮