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There’s a lot of excitement about what AI (specifically the latest wave of LLM-anchored AI) can do, and how AI-first companies are different from the prior generations of companies. There are a lot of important and real opportunities at hand, but I find that many of these conversations occur at such an abstract altitude that they border on meaningless. Sort of like saying that your company could be much better if you merely adopted more software. That’s certainly true, but it’s not a particularly helpful claim.

We are already used to trusting technological magic. Every time we use GPS without understanding the route, or let an algorithm determine what we see, we’re trusting a different type of wizard. But there’s a crucial difference. When GPS fails, I find out quickly when I reach a dead end. When Netflix recommends the wrong movie, I just don’t watch it. But when AI analyzes my research or transforms my spreadsheet, the better it gets, the harder it becomes to know if it’s wrong.

Enterprise software vendors appear to be coalescing around the idea that process mining is an enabler for agentic AI and should be built into platforms. In recent days, process mining, task mining and process automation have all received some play.

A generation of start-ups have failed to live up to the hype. Executives are now betting that more powerful tools will crack the complexities of human biology

Create AI agents and orchestrate workflows with Capgemini’s no-code self-service platform for multi-agent automation.

Agentic AI and multi-agent AI systems making autonomous, intelligent decisions for organizations are set to transform business for years to come