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They say you shouldn’t invest in anything you don’t understand. So, if nobody can seem to define what an “AI agent” is, then why have intuitional investors backed more than 250 startups working on AI agents? That’s because in the startup world, you can often get funded with a story and a resume of past successes, but by the time you get to the public markets, you need to be showing growth. That’s why SPACs failed so miserably. They allowed companies to go public before managing to demonstrate product-market fit with viable positive gross margins.
Perhaps it’s not so difficult to define the term “AI agent” if we start with the concept of robotic process automation. The process being automated can be broken down into a flowchart with a finite set of conditions. Now imagine that workflow being extended beyond the flowchart. Well beyond, and even into other flowcharts autonomously. Imagine that the process being automated is given to an AI agent (a piece of software) that learns over time, exercises some level of autonomy, and perhaps starts to suggest improvements and ways that it can operate more efficiently. Now imagine that agent interacting with agents in other departments while the entire system is being “orchestrated” via a central dashboard.
Perhaps one of the better detailed descriptions of AI agents comes from a company we recently invested in for that sole reason – they appear to be emerging as a leader in agentic AI.
ServiceNow and Agentic AI
If you’re a startup working on AI agents, it’s easy to measure success. It’s all about revenue growth. Growing revenue streams reflect a product that adds value by saving money, reduci
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