In partnership with
Inside AI Ready CMO Pro, we ran a workshop on Finding ROI in AI Workflows — a practical system for marketing leaders to turn pilot chaos into provable wins.
Pro members get the full workshop recording and slides (scroll to the bottom), but here’s the core framework so you can start applying it right away.
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Who’s eligible?
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Why do you need this
Most AI projects die quietly. Not because they fail, but because no one measures what success means. Teams rush from “let’s try this tool” to “it’s not showing ROI” without defining what they’re actually improving.
The results are usually the same: shadow pilots, wasted hours, no management buy-in. The 3A Framework fixes that. It gives you a fast, simple way to find, prove, and scale ROI across your marketing workflows.
The 3A Framework: Audit. Analyze. Act.
Audit – Find your leaks
You can’t fix what you don’t measure. Run an operational audit and see where time — and money — are leaking. Most marketing teams spend 50–60% of their week on coordination, rework, and approvals.
That’s operational debt, and it’s your biggest ROI killer. Start by mapping:
Where time is wasted (meetings, reviews, scattered tools)
What workflows could be automated
What outcomes you actually want to improve (speed, quality, focus)
Inside Pro, you’ll find the full AI Readiness Assessment that gives you a radar chart of your team’s bottlenecks — strategic, creative, technical, collaborative, and team readiness. Use it. It’ll tell you exactly where to start.
Analyze – Choose leverage points
Once you see the leaks, decide what’s worth fixing. Not everything matters. The secret is to start small and pick one or two quick wins that actually move the needle. Use the Impact vs Effort Matrix from our AI Marketing ROI Playbook:
High impact / low effort: Pilot priority
High impact / high effort: Long-term bet
Low impact / low effort: Nice to have, but skip it for your first pilot
Low impact / high effort: Waste of time, avoid it
Example from the workshop slides
Act – Launch small, prove big
Start with a pilot workflow that’s visible enough to show results but contained enough to manage. Measure before and after. Track hours saved, approvals reduced, or speed to publish. Turn the results into an ROI story your leadership understands. Once you have proof, replicate it.
This is how you scale AI adoption without chaos: from pilot → pattern → process.
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