Our Work Home-services franchise network

One work queue for a multi-location call center

A control layer on top of GoHighLevel that turns calls, messages, leads, and tasks into assigned work — routed by real capacity, visible to managers in real time.

IndustryHome-services franchise network
DeliveredAugust 2026
Services Enterprise AutomationAI IntegrationWeb Development
1 queue
For calls, SMS, email, leads, and tasks
01 · THE PROBLEM

Customer activity is not a work queue.

A CRM captures the activity. Teams still need to know who acts next.

Ownership

Who takes the next item?

Calls, leads, and tasks need explicit assignment, not manual chasing.

Capacity

Who can take more work?

Online status alone says nothing about call readiness or how buried an agent already is.

Follow-through

What needs attention?

Missed calls, aging work, and handoffs need visible queues and an escalation path.

02 · THE APPROACH

Turn activity into accountable work.

  1. i.

    Make every event a work item.

    GoHighLevel events become assigned work items with queues, status, deadlines, and history.

  2. ii.

    Route against real capacity.

    Availability, team rules, fair round-robin assignment, and work-in-progress limits distribute the work — agents on a live call are skipped.

  3. iii.

    Keep agents where they already work.

    Work controls embedded inside GoHighLevel; managers get a live roster, queue health, and an audit trail.

03 · SYSTEM ARCHITECTURE
GoHighLevel
CRM · calls · conversations · tasks
Call-center control layer
Routing engine · agent workspace · ops console
PostgreSQL
Operational state & event history
Also connected
Central data warehouse syncOpenAI message triageAI agent worker handoffMCP server · 30 tools

Stateless by design: GoHighLevel stays the front end, the control layer decides who acts, PostgreSQL holds the current state of the operation.

04 · CORE CAPABILITIES

What the system does.

CAP 01 · Routing

Work distribution

Round-robin and targeted routing, queue membership, capacity limits, transfers, and SLA-based requeue.

Queues / WIP limits / SLA
CAP 02 · Agent experience

One agent workspace

Embedded GoHighLevel widget and dashboard for assigned work, self-assignment, completion, and handoffs.

GHL embed / Work actions
CAP 03 · Operations

Live team visibility

Agent roster, presence, call state, active workload, queue health, KPI views, and event history.

Roster / Reports / Audit
CAP 04 · GHL integration

Connected workflows

Webhook intake, two-way task sync, notes pushed to contact timelines, and access to call recordings and transcripts.

Webhooks / Task sync
CAP 05 · Follow-up

Recovery & accountability

Missed-call follow-up, aging-work sweeps, overdue-work handling, and retry tracking for webhook jobs.

Follow-up / Retries
CAP 06 · AI & automation

Assisted operations

OpenAI classifies message intent for smart queue routing, with a configurable AI-agent handoff and MCP tools for operational queries and actions.

OpenAI / MCP

Make every handoff visible and accountable.

Assign

A clear owner for each item.

Balance

Work matched to capacity.

Track

History behind every action.

05 · THE RESULT

What changed.

Every call, message, lead, and task now has a named owner, a place in a queue, and a history behind it. Work is matched to capacity instead of to whoever happened to be online. Managers can see the whole operation — who’s on a call, what’s aging, where the SLA is at risk — without asking anyone.

The team never left GoHighLevel. The control layer runs underneath it.

06 · TECHNOLOGY FOUNDATION

Built on.

Frontend
ReactTypeScriptViteTailwind CSSshadcn/uiTanStack QueryWebSockets
Backend
Node.jsExpressTypeScriptDrizzle ORMZodBackground workers
Data & connections
PostgreSQLGoHighLevel OAuth / SSO / webhooksData warehouse RESTOpenAIMCP over SSE

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