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Case study · From the Pluris libraryReceipt no. 3528
What sucked

News Corp's business units were pursuing AI independently, evaluating dozens of vendors, duplicating efforts, and buying tools without a shared framework for measuring ROI.

The enterprise had no common language for AI readiness, no consistent method for prioritizing investments, and no mechanism to surface which pilots were actually delivering value across its competing media properties.

Media & EntertainmentExecutive & Strategy6–12 months
What they built

Nicole Castillo built an AI strategy framework for News Corp's decentralized structure, introducing a standardized ROI evaluation methodology, a unit-by-unit AI readiness assessment, and a pilot governance process enabling the enterprise to compare AI deployment results across competing business units.

What changed
25–30% Efficiency Target

ROI framework built to identify and track workflow efficiency gains of 25–30% across participating business units.

$150K Legacy Tool Decommissioning

Existing AI vendor stack audited; underperforming tools flagged for elimination, targeting $150K in annual savings.

40% AI Readiness Improvement Target

Baseline readiness assessment deployed across units, with 40% improvement set as the first-year benchmark.

Time to results
6–12 months
Company size
5,001+ people
Who did it
Nicole Castillo
Head of AI Strategy, News Corp

Vetted by Pluris.