A promising pilot proves that AI can create value in one setting. Turning that result into sustained business impact requires leaders to define the right outcome, redesign the work around it, establish clearownership, and evaluate whether the evidence supports further investment.
Read the e-book Turn AI Ambition into Business Impact to learn how to:
- Identify why AI initiatives stall. Recognize operating-model gaps involving unclear outcomes, unchanged workflows, fragmented business context, late-stage governance, and incomplete measurement.
- Start with the business outcome. Connect each AI investment to a measurable result, credible baseline, accountable owner, and workflow that the organization can improve.
- Build the conditions for sustainable value. Align executive sponsorship, trusted data, governance, and adoption so results can continue under normal operating conditions.
- Make evidence-based investment decisions. Determine when to scale, redesign, or stop an initiative, with examples from State Farm, ABB, Accenture, HARTING, ABN AMRO, and Fujitsu.