AI stack chaos in a typical SaaS company, 2026 edition:
→ GTM team runs Clay + Apollo + a custom GPT prospector. Three different definitions of "qualified lead."
→ Support runs an Intercom Fin agent. Doesn't know what GTM promised.
→ Product runs a Cursor + Claude Code stack. Ships features support hasn't been told about.
→ Ops runs Zapier + n8n + a Make scenario. Each automation has its own retry logic and error log.
→ Finance runs an AI close tool. Reconciles against numbers GTM disputes.
Five intelligent agents. Five different worlds. Zero shared model of "the customer," "the deal," or "what we just decided."
This isn't an AI problem. It's a systems problem that AI is making louder.
KAOS sits above the agents. One ontology, one decision graph, one audit trail — your existing tools keep running, they just stop lying to each other.
Early-access cohort is open to a small group of operators this month:
👉 aiisok.app