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One AI, every department

One agent works across every team. It reads each department’s own records, so every team gets AI that fits its work, under one set of controls. Point it at Sales and it scores leads; point it at Finance and it flags a bad invoice; point it at Ops and it watches the SLA clock. Same loop, different outcome.

How it works

The same three steps, everywhere

Every department runs one loop, grounded in your records, governed by field-level permissions and written to the audit trail.

Sense

Reads that department’s records — leads, tickets, invoices, employees — grounded in the CRM.

Decide

Five-tier model routing scores, predicts and picks the next best action, by your rules.

Act

Drafts, routes and updates on its own — every action permission-checked and logged.

Model chain: fast local models handle routine work first, and harder tasks move up to larger models only when needed. See the AI layer →

Shared capabilities

The same engine, drawn on differently

Every department’s AI is built from the same capabilities — each team just uses the ones its work needs.

Why one engine

Not ten point tools

One governance model

The same permissions, PII controls and audit trail across every department’s AI.

One routing chain

Cheap local models do the easy work; it escalates only when needed, controlling cost.

One source of truth

Every agent works on the same records, so teams are not working from separate, duplicated copies of the data.

FAQ

Questions, answered

No. It is one agent — the same Flow-Cognition Agent and the same governance — pointed at each department’s own records. Sales gets lead scoring, Finance gets invoice anomalies, from one engine, not ten separate tools.

Only within field-level permissions. Each agent reads and acts within the permissions of the person it works for, so data does not leak across teams, and every action is logged.

No. Start with one team, then add others — they share the same engine, routing chain and controls, so each new department builds on what is already there.

From your own records in the platform. The forecasts, scores and flags reflect your data, and answers cite what they were built from, so results are grounded, not generic.

See AI at work for your team

Start free, or get a guided walkthrough — the same governed engine, working on your department’s data.