The exponential growth in AI value is achieved through agentic stages that transcend mere task automation, paving the way for process reinvention and new revenue streams. To harness this potential, organizations must align their strategies with active workforce engagement; without a people-first approach, AI benefits remain minimal. The ROI estimates are derived from a structured, evidence-based method using research, benchmarks, and case studies. Four maturity stages of AI—AI-Assisted, AI-Augmented, Agentic AI, and Agentic+—are defined with specific value drivers such as efficiency and business model innovation. Penetration rates, indicating the extent of addressable work affected, are sourced from comprehensive surveys and recognized research institutions like IBM and Deloitte. Raw gains, reflecting productivity improvements and revenue impacts, are calculated, and the ROI is expressed as a percentage based on penetration and raw gains. This structured approach ultimately translates the ROI into a monetary value linked to annual revenue.
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