What it’ll take for impactful Agentic AI

I sat down with David Irecki, CTO for APJ of Boomi, under the pretext that I felt burned by the Agentic AI hype.

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At the end of last year, AI boosters were heralding the “Agentic Age” as the next watershed moment in AI, coming quickly on the heels of the progress of generative AI. 2025 has come and mostly gone, and while there are some launches and use-cases that show the potentials of agentic AI, we haven’t seen even a fraction of the impact of AI chatbots.

One of the key differences between generative and agentic AI is that while generative AI for the most part stays within its box (say Chat-GPT, CoPilot, or Claude;), AI Agents can be created and designed to work across apps and workflows. The common example is that you can interface with it like a chatbot, typing in a request, and then it can go online, use a browser to do a search and make reservations, and then pop the booked plans into your calendar. This assumes a lot of integration across your apps and accounts, and a lot of trust in letting the agent make decisions on your behalf.

Boomi works more on the business and industry level, supporting mostly MNCs and large enterprises to effectively adopt Agentic AI workflows. I share with David that I've used some of the off-the-shelf AI agents, but they haven’t really worked for me.