Workflow
AI Maturity Emerges as Key Driver of ROI, New Protiviti Study Finds

Core Insights - More than half of organizations have not yet realized the full benefits of AI adoption, indicating a gap between aspiration and actual progress [1][2] - The survey highlights a strong correlation between the maturity of an organization's AI program and the return on investment (ROI) [3][6] - Organizations face various challenges at different stages of AI maturity, which can hinder progress [4][7] AI Maturity Stages - Stage 1: Initial (19%) - Organizations recognize AI's potential but lack strategic initiatives and defined KPIs [5] - Stage 2: Experimentation (32%) - Organizations initiate small-scale AI projects to assess feasibility and benefits [5] - Stage 3: Defined (21%) - AI solutions are integrated into existing processes, enhancing efficiency [5] - Stage 4: Optimization (20%) - AI systems are enhanced for performance and scalability [5] - Stage 5: Transformation (8%) - AI drives significant business transformation [5] ROI and Satisfaction - At Stage 2, 77% of organizations report that their ROI met or exceeded expectations [6] - By Stage 5, 95% of organizations express high satisfaction with their AI investments, with 75% stating that AI exceeds ROI expectations [6] Challenges in AI Adoption - Common challenges include integration with existing systems, understanding impactful use cases, lack of skilled resources, data availability, and regulatory guidance [4] - As organizations progress, integration issues and data access challenges become more prominent, with 28% and 29% citing data availability as a major challenge at Stages 4 and 5, respectively [7] Redefining Success - Organizations need to redefine success in AI, moving from immediate cost savings to strategic growth and innovation [2][9] - Tailored AI strategies aligned with departmental goals are essential for success [8] Innovation and Collaboration - Innovation hubs, such as Protiviti's AI Studio, play a critical role in enabling organizations to explore use cases and accelerate AI implementation [9]