From Generative AI to Agentic Enterprises: Designing Autonomous Decision Systems for the Next Decade
Every major technology shift eventually reaches a point where the technology evolves faster than the way organisations are structured to use it. Enterprise AI is reaching that point today.
When generative AI first entered the workplace, most organisations focused on improving existing workflows. They introduced chatbots for customer support, coding assistants for developers, writing tools for business teams, and AI features inside familiar enterprise applications. These solutions delivered real value by helping people work faster and more efficiently, but they didn't fundamentally change how work was organised. People still made the decisions, coordinated the work, and drove the process from start to finish.
That is beginning to change. The biggest shift isn't simply that AI models have become more capable. It's that the ecosystem around them has matured. Reliable tool integration, long-term memory, orchestration frameworks, governance controls, and standardised communication between AI systems have made it possible to think beyond...
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