Admin-enabled access
Company owners and admins decide which credentials may be used by automations and AI agents.
Let approved AI agents inspect company context and perform bounded, safe workflow actions across leads, bookings, and job status updates.
An AI agent should not get unrestricted operational data access. The beta focuses on scopes, auditing, and fast revocation.
Company owners and admins decide which credentials may be used by automations and AI agents.
Tools focus on reading workflow context and bounded actions such as creating leads, adding notes, and updating statuses.
Agent actions should trace back to a named credential with last-used metadata and a clear revocation path.
The controlled beta uses company bearer access to a hosted MCP endpoint with HTTP transport, authentication, and Origin validation guidance.
Give an agent only the tools it needs for a specific operational job, not blanket control over the company workspace.
Generate a scoped credential, copy the secret once, and store it in the approved AI client or automation platform.
The agent can search leads, quotes, bookings, items, and team members inside the credential's company scope.
Safe writes include actions like creating a lead, adding a note, updating a lead status, or supporting booking workflow steps.
Revoking a credential stops future use while preserving records of actions already performed.
This beta is best for teams that want to automate repetitive workflow steps without handing over full administrative control.
Let an agent organise context, create leads, and add notes without retyping data.
Use agents to inspect booking context and support job status follow-up.
Start with scoped beta access that is named, revocable, and designed for auditability.
No. Beta access is admin-enabled, scoped, and limited to safe operational tools.
Only within the tools you grant. Safe writes may cover leads, notes, statuses, and bookings, but they do not automatically include delete, payment, or company settings access.
Use separate credentials per agent, keep secrets out of public frontends, review last-used metadata, and revoke credentials that no longer need access.
Compare plans, review the workflow pages, and choose the setup that matches how your team captures work, schedules jobs, and gets paid.
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