Agentic · Agent Hub

Agent Hub is where the work happens.

Shelbe answers questions. Agent Hub takes actions. Together they close the operational loop: conversation in, structured data extracted, routed to the right system of record, action committed, status returned to the worker. The orchestration plane that turns agentic AI from advice into completed work.

Most agentic AI in enterprise SaaS is advisory: the AI says what to do, the human still does it. Agent Hub is different. Agent Hub takes the agent's proposed action, routes it through the right system of record, applies maker-checker governance, and returns the completed status to the worker. Shelbe is the conversation; Agent Hub is the action.

The four layers of Agent Hub

How orchestration actually runs.

Each layer below is independently configurable, audit-logged, and customer-controlled.

  • Intent extraction

    Shelbe identifies the intent of the conversation: shift swap, maintenance request, procurement order, time-off request, safety report. Each intent has a defined structured-data schema and a routing destination.

  • Structured data collection

    Conversational data extraction: the worker says 'I need to swap my Friday shift'; Agent Hub identifies the date, the shift, the requested replacement, and the policy constraints (overtime, scheduling rules). Missing fields are clarified conversationally.

  • System routing

    Once structured data is complete, Agent Hub routes to the right system of record via the integration library: Workday for HR, ADP for time, ServiceNow for IT, SAP for procurement. Authorization Forwarding ensures workflow ownership stays with the source.

  • Maker-checker governance

    Consequential actions enter human-in-the-loop approval workflows. Manager approval for shift swaps. Supervisor approval for procurement above threshold. Audit-logged decisions with policy references. Full Scout trail.

Input · Why the data model is the moat

Identity that holds when everything else moves.

Five named operational workflows are in production today at named RedeApp customers: shift swap and labor fulfillment, maintenance and asset management, procurement and inventory orchestration, onboarding and pre-hire velocity, knowledge retrieval at the line. Each is documented with the system integration, the maker-checker pattern, and the customer reference. See the workflows →

Next step

Solve digital abandonment. Deploy the Frontline OS.

The five named workflows page shows exactly how Agent Hub runs today at named customers. Each workflow with its system integration and customer reference.

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