The business case for AI agents usually gets approved fast. Ops leaders see the demo, run the numbers on time saved, and want to move. Then the deal hits IT and security review \u2014 and that’s where most AI agent purchases actually die, get delayed by months, or quietly get scoped down to something far less useful than what was originally pitched.<\/p>\n\n\n\n
This isn’t IT being difficult. AI agents are a genuinely different risk category than most SaaS tools. They don’t just store your data \u2014 they actively read it, reason over it, and take actions based on it, often across multiple connected systems. A misconfigured AI agent doesn’t just leak a record; it can leak the wrong record to the wrong person in a live conversation, with no human in the loop to catch it first.<\/p>\n\n\n\n
If you’re the person responsible for signing off on an AI agents platform \u2014 or the vendor trying to get through that review faster \u2014 this is the checklist that actually matters. Ten direct questions, what a real answer sounds like, and what a red flag sounds like.<\/p>\n\n\n\n