Many enterprises are eagerly pursuing the transformative power of agentic AI, with a significant majority aiming to implement it within the next three years. However, a stark reality check reveals that most organisations are not operationally prepared to support this ambition. A recent report highlights a critical disconnect: while leaders recognise AI as a major competitive opportunity, they also admit their current workflows, systems, and operational resilience are not equipped to handle autonomous AI agents. This lack of foundational groundwork means that even impressive AI demonstrations often falter when deployed in a real-world enterprise setting, leading to scepticism about ROI.
The core issue lies in the absence of a robust process layer. For AI agents to function effectively and autonomously, they require optimised, AI-ready processes, underpinned by comprehensive process data and operational context. Without this, AI essentially operates on guesswork. The article stresses that AI will only deliver its promised return on investment if it truly understands how the business operates. This understanding is often fragmented, trapped within siloed departments with their own unique languages and systems. Process intelligence is presented as the crucial connective tissue, creating a shared operational language that grounds AI decisions in the practical realities of the business.
Furthermore, the adoption of agentic AI is framed not just as a technological challenge, but fundamentally as a change management and operating model problem. Organisational silos and a lack of inter-departmental coordination are identified as the primary blockers, far more so than resistance to change. True enterprise modernisation, the article argues, involves a redesign of how teams, systems, and decisions connect. Simply bolting AI onto existing, broken processes is a recipe for failure. Instead, organisations must first invest in modernising their data, systems, and processes, building a shared, accurate picture of their operations. This foundational shift, achieved through process intelligence, is what makes agentic AI viable and allows it to deliver real ROI, turning process optimisation from a mere IT project into a strategic advantage for agility and risk management in today's constantly changing world.
Fuente Original: https://venturebeat.com/orchestration/enterprise-agentic-ai-requires-a-process-layer-most-companies-havent-built
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