How to craft AI recommendations that actually get approved

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Like it or not, - turning an AI initiative into a business success case relies heavily upon your ability to effectively communicate the value of the initiative to stakeholders.

That’s where the STAR Framework™’s Recommend pillar comes in. It is a proven process that you can use to craft a persuasive case for your next data-driven initiative.

Step 1: Translate Technical Outcomes into Business Value

Stakeholders prioritize results over methods. For example:

instead of saying, “Our AI model improves churn prediction accuracy,” 

frame it as, “We can reduce customer churn by 15%, saving $200,000 annually.”

Step 2: Use Data to Build Confidence

Support your recommendation with evidence from previous successes, benchmarks, or industry case studies. For example, cite results from similar AI projects that have already delivered measurable ROI.

(Tip: Include a clear ROI projection to solidify the financial value of your proposal.)

Step 3: Start Small to Minimize Risk

Propose a pilot project with a narrow focus to reduce risk. For example, rather than revamping the entire customer support system, start by automating a single repetitive task such as ticket routing.

Step 4: Provide a Clear Execution Roadmap

Outline a practical plan with milestones, timelines, and accountability. A well-defined roadmap reassures stakeholders that your proposal is achievable and thought-through. By framing your recommendation in business terms and providing a clear path forward, you’ll make it easier for decision-makers to greenlight your project.

This is just a glimpse of the Recommend pillar from the STAR Framework™. To access the full methodology—including how to scope opportunities, build strategies, and execute effective AI initiatives—check out The Data & AI Imperative.

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Here’s to your next AI project getting approved and driving real results!

See you inside,

Lillian Pierson & Team

Fractional CMO & Founder, Data-Mania

P.S. Imagine where your business could be a year from now with the right data guiding your decisions. Don’t let this opportunity pass you by — pre-order today.

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