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AI agent-driven systems often fail at execution because decisions valid at design time are not re-anchored at the moment of action, leading to incorrect behavior. There is a need for mechanisms to enforce correctness and validate conditions in real-time as autonomous agents execute tasks, especially as their autonomy increases.
Everyone's asking if AI is going to kill SaaS. Having been through multiple technology revolutions it’s a fair question - no one is walking around with a flip phone these days. AI is a huge technology revolution and things will change, but not everything, and not immediately. Here's what I believe: → Some SaaS companies are definitely in trouble. If your product can be replicated by a well-prompted model and your customers aren't deeply embedded in your platform, the clock is ticking. → Companies with strong ROI and real integration moats aren't threatened by AI. They have a new lever to pull. → An entirely new category is emerging. Purpose-built Agent Management platforms that let organizations tap into LLM capabilities without building from scratch. → Enterprise software was never a tooling business. It's an accountability business. AI raises those stakes, it doesn't lower them. Security, reliability, and data protection are arguably more important than ever given the non-deterministic nature of LLMs. Plenty of SaaS companies will still be standing when the dust settles and a new category of agent management platforms are emerging. It’s an exciting time. I wrote about all of this for the Wall Street Journal. Link in the comments. What's your take: is SaaS on its way out, or is this just another evolution?