A control plane that authenticates, authorizes, and logs every AI call into company systems

Most organizations arrive at the same problem once employees start connecting AI assistants to real systems: the assistant inherits whatever credentials it was handed, nobody has a record of what it did, and revoking access means hunting through individual integrations. Keyboard answers that by making every AI-initiated request pass through one point. The platform terminates the connection from the AI client, evaluates the organization's policy for that person and that specific action, performs authentication against the target application itself, forwards the call, and writes an audit entry. Because authorization lives in the control plane rather than in each integration, IT can tighten or loosen a scope centrally without touching the applications.

On the application side, Keyboard connects to the systems where work actually lives, including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, and custom internal services, exposed to AI clients through a single MCP server rather than a separate connector per tool. Its execution model adds a second check: code the assistant generates runs inside a controlled environment, and a human approves both what executes and what data is returned to the client. The practical audience is split, with employees in sales, operations, finance, HR, and engineering automating routine tasks, while security and IT teams get the visibility and revocation controls that make the first group's use sanctionable. The company operates as Keyboard.dev.