Going autonomous isn't a switch — it's an evidence-based process. Each phase earns the trust of the next. This is the operating playbook.
Plug in your systems — code, finance, CRM, analytics. Cortex compiles a live company state within days. No workflow changes yet; the organization keeps working exactly as before.
Agents recommend on every decision and execute nothing. Every recommendation is scored against what your team actually did. Every human rejection requires a one-line reason — that dataset is gold.
Decision classes with proven accuracy graduate to autonomous execution — reversible, low-cost ones first. Everything else becomes one-click approvals. The policy engine enforces the boundaries.
The 95% doesn't come from moving hiring or contracts to AI. It comes from shifting the decision mix: most decision volume in a company is reversible and cheap — exactly what agents handle best. Humans keep strategy, people and the objective function.
The key metric isn't “how many decisions does the AI make.” It's “how often was the AI right when a human overrode it.” When the ledger proves a decision class is handled better by the system, that class graduates. Not before.