Why AI Deployments Fail Without Total Operational Overhauls: Executive Blueprint for Corporate Transformation
Leaders at TIAA and Accenture outline why enterprise restructuring must precede artificial intelligence adoption.
Executive leaders from TIAA and Accenture caution that enterprise Artificial Intelligence cannot overcome fundamental operational flaws without extensive structural overhaul across business units. Sastry Durvasula, Chief Operating Officer and Executive Committee member at TIAA, directs global technology, data & analytics, digital & client experience, and enterprise AI deployment across retirement, wealth management, and asset management operations. Durvasula, who sits on the board of TIAA India and advises TIAA Ventures, previously served as Chief Information Officer and Chief Technology Officer across McKinsey & Company, Marsh, and American Express, holding over 45 patents alongside a master’s degree from the Indian Institute of Science.
Partnering in this transformation perspective, Manish Sharma serves as Chief Strategy and Services Officer at Accenture, driving innovation and leading Reinvention Services across strategy, consulting, technology, operations, and Accenture Song. Sharma, a 30-year Accenture veteran who chairs Avanade’s Board of Directors and serves on Accenture’s Global Management Committee, previously held roles as Chief Executive Officer of The Americas and North America and global Chief Operating Officer after earning engineering and management degrees from the University of Mumbai.
Industry benchmarks highlight why this architectural realignment is imperative: broader enterprise surveys indicate that nearly 70 percent of corporate generative AI initiatives fail to progress past pilot stages, primarily due to fragmented legacy data systems and misaligned departmental workflows rather than technology limitations.
Enterprise transformation requires aligning underlying infrastructure before layering advanced automation tools onto legacy workflows.
By Fortune Editors
October 20, 2025
Organizations often mistakenly treat artificial intelligence as an immediate quick fix for deep-seated operational inefficiencies.
By Fortune Editors
October 20, 2025
True business modernization demands a comprehensive re-evaluation of core client experience channels and shared services.
By Fortune Editors
October 20, 2025
Cross-functional integration across data, analytics, and strategy practices remains the primary prerequisite for sustainable scalability.
By Fortune Editors
October 20, 2025
Leadership accountability must extend beyond software procurement to active workforce restructuring and skills evolution.
By Fortune Editors
October 20, 2025
Global capability centers and strategic external partnerships serve as critical levers during broad organizational rewiring.
By Fortune Editors
October 20, 2025
Deploying technology atop fragmented organizational structures merely accelerates operational chaos rather than creating enterprise value.
By Fortune Editors
October 20, 2025
Integrated service units spanning consulting, operations, and digital technology offer the framework needed for deep strategic reinvention.
By Fortune Editors
October 20, 2025
Sustained competitive advantage emerges when data architecture, executive governance, and client engagement models are synchronized.
By Fortune Editors
October 20, 2025
Corporate leaders must prioritize internal workflow redesign before expecting measurable productivity gains from automated systems.
By Fortune Editors
October 20, 2025
Investing in workforce development and inclusion strategies ensures that human talent effectively complements technical capabilities.
By Fortune Editors
October 20, 2025
The ultimate responsibility for corporate performance rests on foundational strategy and operational discipline, establishing that technology remains an enabler rather than a substitute for leadership.
By Fortune Editors
October 20, 2025
