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The future of AI in enterprise isn't more autonomy. It's better orchestration. Not every process needs an agent. Most need better process definition, deterministic scaffolding, and AI carefully applied at specific decision points where human judgment is genuinely required. The companies that win won't be the ones with the most "agentic" systems. They'll be the ones who know exactly when to use AI and, more importantly, when not to.

Conversations compound context. Each exchange adds weight. The further you go in the wrong direction, the harder it becomes to course-correct. It's like realizing you're on the wrong highway twenty miles in, yes, you can turn around, but you've already paid the cost in time, frustration and distance.

One of the unexpected gifts of the AI revolution is that it's bending time for CoEs in ways we couldn't have imagined a decade ago. Tasks that used to consume weeks happen in hours. This acceleration creates something CoEs have rarely had: capacity to think strategically instead of just execute tactically.

We've been building an AI-powered product for the past year. And when you build, you debug. We've learned something counterintuitive: our biggest performance killer isn't bad AI models or poor data quality. It's using AI where you don't need it. Building in AI means that shortcuts present themselves in the form of LLM interactions. Each of these shortcuts can seem appealing—they're fast to implement—yet there's a hidden cost. Every LLM interaction introduces a probabilist

If you define agentic AI (in the context of automation) as goal-oriented workflows with a high degree of autonomy, I'd argue that most Intelligent Automation programmes aren't yet there. I'd also argue that perhaps the number of use cases suitable for true autonomy is smaller than the marketing hype suggests.

A new MIT study just dropped news that shouldn't surprise anyone in the automation trenches: 95% of generative AI implementations have zero measurable impact on company P&L. (Anyone remember RPA overpromising?)

The intelligent automation world has caught a fever. Everyone's convinced that static rules are dead, that the future belongs exclusively...

Time and material (T&M) contracts have been the backbone of the services industry for decades. The premise seems straightforward: clients...