Part 11/14:

• Phase 1: Initial awareness with low to moderate data quality.

• Phase 2: Pilot projects demonstrating savings and efficiency.

• Phase 3: Deep deployment yielding operational efficiencies.

• Phase 4: Business transformation, including new revenue streams and advanced analytics.

Most organizations are currently positioned between the pilot and deployment phases, with a long-term vision of full autonomy. The emphasis is on demonstrating value, building trust, and progressively scaling AI integration.

Overcoming Adoption Barriers and Demonstrating Value

A recurring theme was the challenge of translating AI capabilities into compelling business value. Stakeholders—especially CFOs and investors—seek clear return on investment (ROI). To accelerate adoption: