""Generally, once you have a business process, you want to be able to define that in, effectively, business logic with deterministic systems - just because the risk of that changing any given day is very high," explained Levie."
""If you're doing something mission critical - we've already seen great examples of either data being leaked because of agents, or an agent going and, you know, maybe blowing up your database or doing something in production you didn't expect. So you want to have some sort of 'church and state' between the deterministic side of your software and the non-deterministic side.""
""The thing that I'm very convinced of is we'll have about 100 times more, maybe 1,000 times more, agents than we have people. So you'll have way more users of that software system, or SaaS, as agents," Levie said."
AI agents are unlikely to replace enterprise SaaS; a hybrid model combining deterministic SaaS core workflows with non-deterministic agents is more probable. Business processes require deterministic systems to reduce high daily-change risk and protect mission-critical operations from agent-caused data leaks or unintended production actions. SaaS should provide core business logic while agents overlay to assist decision-making, automate workflows, and accelerate tasks. Massive agent proliferation could create orders-of-magnitude more agent 'users' than humans, rendering per-seat licensing ineffective and shifting monetization toward consumption- and volume-based models. Startups building agent-first architectures may gain market advantage.
Read at TechCrunch
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