SaaS survives as the governance and coordination layer — determinism still rules

The “SaaS is dead” narrative misses something structural: when a non-deterministic process (AI/LLM) feeds into a deterministic one (database, approval workflow), the entire system is governed by the deterministic layer. Boards won’t accept AI-generated forecasts the VP Sales can’t explain. SaaS is essentially a system of governance and accountability.

The deeper point is that the core value of SaaS was never individual productivity — it was coordination. Org hierarchies, access control, workflow approvals, audit trails. None of that goes away when B2B becomes B2A — agents become the buyer. If anything, agents need more governance structure, not less — which is why Production agents route routine cases through decision trees, reserving humans for complexity, routing routine cases through deterministic rules and reserving the LLM for genuine ambiguity. This is the strongest counterargument to the middleware-dies thesis — the middleware that embeds coordination and accountability logic isn’t middleware at all, it’s infrastructure.

What does change: unused seats get negotiated into AI credits, seat-based pricing shifts to usage-based, and being locked to one model provider becomes irresponsible since a game-changing new LLM drops every few months. This is why Open source captures value through services, not software — the revenue shifts from software licensing to the governance and support layer that companies still need, whether the underlying code is open or proprietary. The companies with data and workflow gravity survive; the ones selling UI convenience don’t. This nuance matters for Context is the product, not the model — SaaS platforms that own the coordination context have a durable moat even in an agent-native world.