Useful business AI needs more than a private chat window
The model needs approved company context, roles, current work, durable decisions, and a path to real tools—without making every source or integration equally trusted.
PRIVATE · LOCAL-FIRST · HYBRID
INTIGNAI combines private workspace context, local and approved hosted intelligence, durable operating memory, and governed execution so a business can choose where AI runs and what it is allowed to do.
THE OPERATING PROBLEM
The model needs approved company context, roles, current work, durable decisions, and a path to real tools—without making every source or integration equally trusted.
Different work benefits from different runtimes. Some context belongs local, some workloads need stronger hosted models, and some actions should not run anywhere without an explicit decision.
A business needs exportable history, understandable boundaries, portable deployment choices, and the ability to change models or infrastructure without rebuilding its operating memory from zero.
CONTROL BEFORE AUTONOMY
Use local or private infrastructure for selected data and workloads while allowing approved external models only where the operating policy permits them.
Choose a local, hosted, or hybrid runtime based on privacy, latency, capability, cost, and availability instead of hard-wiring the business to one model provider.
The assistant may understand broad business context while sends, purchases, deletions, publishing, infrastructure changes, and other consequences remain independently controlled.
VERIFY IT
Use a sanitized workflow you already run. The First Proof will show the proposed AI preparation, human checkpoint, blocked boundary, expected evidence, and next safe move before you create an account.