Better decisions.Lower costs.More revenue.

It's a layer of AI agents and automations sitting on top of the tools a company already runs — CRM, email, drive, chat — with one shared knowledge base underneath. Instead of separate AI tools that each see a sliver of the business, one system reads from a single source of truth and takes action across all of it.

Chat tools answer questions; an operating system takes action. A chat window starts from a blank page every time and forgets what it learned. Agents read from your company's knowledge base, run on a schedule without being asked, and write results back into the tools you already use.

No. Day to day it runs through interfaces your team already uses — Slack on a phone, a web dashboard, email. Technical teams can go deeper through Claude Code if you have them, but nothing about running it requires an engineer.

Weeks, not years — usually a first working layer inside the first month, then more as each bottleneck is cleared. We start with the three or four processes costing you the most rather than mapping every workflow in the business, which is how automation projects stall.

No. Anything that reaches a customer, sends money, or leaves the company waits for a human to approve it — usually one tap in Slack. The agents draft and propose; you decide.

The ones you already pay for — Gmail, Slack, Google Drive, HubSpot, Salesforce, Notion, GitHub and around 25 other pre-built modules. Connections run over MCP, an open standard, so new tools can be added without rebuilding the system.