Niranjan Vijayaragavan, Chief Product and Technology Officer at Nintex, warns of an emerging challenge in organizations: “AI sprawl.” This phenomenon occurs as businesses deploy multiple generative AI tools across departments without proper coordination or governance, leading to increased costs, risks, and fragmented workflows. By 2026, Vijayaragavan predicts a shift toward stronger governance embedded in operational structures rather than standalone policies, emphasizing the need for traceability in AI-influenced decisions. He highlights that automation will play a crucial role in making AI governable at scale by embedding audit trails and controls within workflows. Additionally, he notes the importance of process visibility for efficiency; without a clear understanding of work dynamics, organizations risk perpetuating inefficiencies. To succeed, businesses should consolidate tools, standardize processes, and adopt an AI and automation-first model, transitioning from simply layering technology to fundamentally reengineering operations for optimized performance.
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