Documented system build
A client-facing operating layer connecting GHL business records, a custom interface, specialist AI agents and workflow orchestration.
Project overview
Action OS is a custom AI operating layer designed to sit alongside GoHighLevel. The documented build connects a client-facing interface with location-specific CRM data, Supabase configuration and business context, n8n workflows and specialist AI agents. A broader technical expansion scope defines additional governance, event-driven monitoring and agent orchestration requirements; those scope items are not presented as completed features here.
01 / Challenge
A business can have customer activity, tasks, conversations and reporting spread across tools. An agent interface without live context, account boundaries, approval logic and action visibility can add complexity instead of operational control.
02 / Build
The portfolio documentation describes dashboard and agent-interface logic, account-scoped GHL data, Supabase configuration and Business DNA, specialist agent responsibilities, prompts and activity, and connections among the frontend, Supabase, GHL and n8n. The architecture separates CRM system records from AI context and workflow execution. Further technical scope calls for explicit policies, auditability and progressive autonomy, which remain implementation requirements rather than public claims of completed certification or coverage.
03 / Outcome
The work establishes a connected architecture and interface for business activity, AI agents and approved workflow actions. No client-wide adoption figure, financial return, uptime or measured operational improvement is asserted.
Capabilities
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