“So, what’s our AI Governance model?”

Whether you read this in a late-night Slack from your CEO, or it kicked off your first company-wide AI Council meeting, eventually your org is going to need a plan when it comes to this whole AI hullabaloo.

At Productiv, we think alot about Shadow AI & AI Governance. Like, alot. While we can’t tell you what your AI Governance model should be, we can tell you where to start. Because the longest journeys start with just one step. Or, in this case, just one checklist.

We’ve assembled a comprehensive seven pillar approach to ensuring visibility, control, and alignment when it comes to all those pesky AI capabilities that have weaseled their way inside your perimeter.

Keep this checklist handy, and you’ll be able to:

• Stop Shadow AI before it stops you.
  Don’t be a cautionary tale. Map every rogue model, plug-in, and “quick experiment” hiding in your stack.
• Turn AI chaos into controlled innovation.
  Classify tools by risk, value, and sanity level.
• Say “yes” to AI without saying goodbye to compliance.
  Enforce smart guardrails that scale.
• Prove every AI tool earns its keep.
  Tie shiny new tech to measurable business outcomes.
• Make governance look good.
  Clean documentation, crisp approvals, zero spreadsheet drama.

All that, in one checklist? Sounds too good to be true (it’s not). Fill out the form and get crackin’.