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Author Archives: Shweta Nanda

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End-to-End BPM with AI: Adding Speed and Governance Across the Lifecycle

Across the end-to-end BPM lifecycle, activities such as process mapping, documentation, analysis, and reporting remain highly manual. AI-driven BPM introduces a practical way to increase throughput across the lifecycle.

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AI in Process Analysis: Turn Insights into Faster, Data-Backed Decisions

Process analysis has evolved to keep pace with modern organisations by delivering insight at the moment it is needed. Instead of relying on periodic reviews and delayed findings, teams can now access analysis that reflects real process behaviour and highlights issues as they emerge.

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How BPM Is Evolving in the U.S.: Key Trends for 2026 and Beyond

Business Process Management in the United States is undergoing its most profound transformation in decades. What was once a discipline focused on documenting workflows and removing inefficiencies is rapidly becoming a strategic engine for enterprise decision-making, resilience, and growth.

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AI in BPM: 3 Moves Leaders Must Get Right to Accelerate Adoption

The organisations moving ahead are not the ones with the most polished AI strategies. They are the ones who simply started. They tried, learned, adjusted, and built confidence along the way. AI in BPM does not fail because of technology. It slows down because people hesitate. That is why AI adoption in Business Process Management is a leadership issue before it is a technical one.

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AI-Powered Process Optimisation: Elevating Business Efficiency in 2026

With the adoption of AI, activities that once required months of workshops, manual process mapping, and detailed analysis can now be completed in a matter of weeks—or even days. In 2026, AI-driven process optimisation is enabling organisations to accelerate transformation by significantly reducing the time needed to map, analyse, and improve processes.

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How AI Strengthens Traditional BPM by Closing the Execution Gap

The gap between knowing how work should happen and making it happen efficiently, consistently, and at speed. This is precisely where Artificial Intelligence in BPM steps in, not to replace BPM, but to strengthen it. AI does not dismantle traditional BPM foundations. It reinforces them by removing friction, accelerating insight, and transforming static process discipline into AI-powered BPM execution.

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