AI Strategy
Governance has to go everywhere AI goes
Most enterprise teams have AI running somewhere. The impact still isn't measurable. The control still isn't working.
In April 2026, Zapier brought 5,500+ leaders together with executives from Indeed, Netflix, and ServiceTitan. Here's what they said.
Learn how AI leaders measure AI adoption, governance, and ROI
70%
Cost reduction possible on complex workflows when AI is used only where inference is needed
80%
Of agents built on Zapier's platform last year could have run deterministically — most teams reached for agentic builds out of habit, not necessity.
83%
of enterprise leaders identify compliance failures and uncontrolled AI usage as their top risks
30 days
Time to build your first working governance layer — a map, a policy, and live controls.
What you'll learn
Why the question "how do we spend less on AI" leads to the wrong answers — and what to ask instead
The tokenmaxxing trap: how organizations end up paying inference rates for work that doesn't need them
The watch-decide-act model: the three parts of a governance program that most companies only partially complete
Four specific steps: managed connections, action-level controls, workspace governance, and a single governed connection for every AI tool your teams use
A 4-stage framework for moving from proxy signals to auditable, boardroom-ready ROI proof
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