Platform

How OrqForge orchestrates enterprise work

OrqForge transforms unstructured inputs — Teams messages, emails, meeting transcripts, webhooks — into structured deliverables tracked, reviewed by humans, and published to your systems. A self-learning loop continuously improves accuracy over time.

Multi-channel AI triggers converging on a central OrqForge orchestration hub

The execution pipeline

Every run in OrqForge follows the same governed pipeline. Whether triggered from Teams, email, a meeting recording, or a scheduled job — work is ingested, classified, planned when needed, executed by role agents, reviewed, published, and learned from.

This is not one general assistant trying to do everything. It is a coordinated set of trained agents, each aligned to a role and stream of work, operating with stage history, review gates, and retained evidence.

At a glance

Five stages that cover the full lifecycle from trigger to improvement.

  1. 1

    Ingest

    Email, Teams, meetings, schedules, and custom listeners.

  2. 2

    Triage & Plan

    Classify work and gather missing context when needed.

  3. 3

    Execute

    Agent network delegates and produces deliverables in parallel.

  4. 4

    Review

    Human or AI approval before anything material is published.

  5. 5

    Publish & Learn

    Deliver results and improve from every completed run.

The full eleven-stage pipeline

Every stage is visible, inspectable, and retained for audit.

1

Lobby

Conversation and context gathering via Teams or chat before handoff.

2

Ingest

Accept input from email, meetings, webhooks, or manual submission.

3

Triage

Classify work against your taxonomy and assign a confidence lane.

4

Planning

Structured Q&A when more context is needed before execution.

5

Hierarchy

Create structured work items with clear ownership and scope.

6

Execute

Role agents produce deliverables — documents, code, reports, actions.

7

Post-Execute

Refine and shape agent output into a coherent deliverable.

8

Review

Human or AI review with configurable approval gates.

9

Publish

Deliver results to SharePoint, Jira, email, or your systems.

10

Learn

Extract lessons from reviewer corrections and planning patterns.

11

Complete

Close the run with full stage history and retained evidence.

Product

Agent interfaces

Workspaces, hierarchy, triggers, and pipeline visibility — explore all screens on the demo tour.

Agentic flow builder
app.orqforge.com/workspaces/demo-insurance/ai-trainer
AI Trainer 19 messages
I've reviewed your process docs. For this insurance example I'm proposing 6 roles across intake, evaluation, adjustment, and publishing. Enable orchestrator + FNOL + damage eval for the demo?
Yes — enable those three plus adjuster. Keep fraud detection disabled for now.
Done. Taxonomy updated: claim_intake, damage_assessment, adjustment_report. Review gates set to draft mode.
Attach documents or describe changes…
Send

Configure workspaces, roles, taxonomy, and review paths in a guided session — days, not years.

Agent hierarchy
app.orqforge.com/workspaces/demo-insurance/org/organisation

Agent hierarchy

Insurance claims (demo) · 6 roles · 3 tiers

Live
1

Process Orchestrator

Stream owner · Ops Lead (human)

Draft execution

  • Intake Agent

    Teams · Email · Webhook

  • Classification Agent

    Taxonomy routing

2

Delivery Orchestrator

Parallel specialist coordination

  • Damage Evaluation

    Scoped tools · Evidence pack

  • Adjuster Agent

    Structured output · Review path

  • FNOL Agent

    First notice · Complete

3

Review Coordinator

Human accountability gate

  • Stream reviewers

    2 assigned · Draft mode

Mirror your operating model: orchestrators, specialists, scoped tools, and human accountability gates.

Multi-channel triggers
app.orqforge.com/workspaces/demo-insurance/triggers/triggers

Multi-channel intake

Meet teams where they work — same governed pipeline for every trigger

T

Microsoft Teams

Active

Bot installed · 3 workspaces

@

Email listener

Active

claims-inbox@demo.example · Rule-based routing

W

Webhook

Active

Azure DevOps · Jira · Custom

Scheduled jobs

Configured

Daily heartbeat · Weekly reports

Enterprise pattern

Imperfect input from any channel → classified → orchestrated → reviewed → published to your systems.

Teams, email, webhooks, and schedules — every intake path feeds the same governed pipeline.

Workflow runs
app.orqforge.com/workflows/ai-workflows

Motor claim intake — CLM-2026-0847

claim_intake · Demo Insurance POC · Active · 12m 34s

Execute
Lobby
Ingest
Triage
Plan
Hierarchy
Execute
Post-Exec
Review
Publish
Learn
Done

Damage assessment report

Execute · 8m 12s · 24.1k tokens

Claims orchestrator

Execute · Delegating · 12m 34s

Live pipeline stages, elapsed time, token usage, and status on every run — inspectable end to end.

Agent delegation

Chain of command, not a single prompt

When an agent encounters work outside its skillset, it reaches into its network and delegates. In our insurance demo, a process orchestrator coordinates damage evaluation and adjuster agents in parallel — each doing its part while the orchestrator monitors status and reasoning. The same delegation model applies to any workflow you build.

  • Each role agent carries scoped tools, review paths, and workflow types
  • Orchestrators delegate and monitor; specialists execute in parallel
  • Full reasoning visibility on every active run
  • Delegation lineage retained for audit and inspection

Example · Insurance demo

Process Orchestrator

Delegates work · Monitors team status

Damage Evaluation Agent

Specialist · Parallel execution

FNOL Agent

Specialist · Parallel execution

Adjuster Agent

Specialist · Parallel execution

Fraud Detection Agent

Specialist · Parallel execution

Workspaces and organisation structure

Workspaces mirror your internal organisation — customer boundaries, product lines, business units, or process domains. Within each workspace, role agents are bound to specific accountability: which tools they use, which review path applies, and which workflow types they handle.

The AI Trainer is OrqForge's agentic flow builder. It helps you design this structure for any process — not only insurance. Provide documents, a website, or process material — and OrqForge proposes workspaces, agent roles, taxonomy, and skills. For many organisations, a complete structure emerges in a short guided session.

Input sources

  • Teams chat — agents installed as Teams bots; users converse and hand off work
  • Email inboxes — shared or user mailboxes with rule-based routing
  • Meeting recordings — transcripts processed automatically after meetings end
  • Webhooks — Azure DevOps, Jira, and custom integrations
  • Scheduled jobs — heartbeats, reports, and recurring checks
  • Manual ingest — operators submit content through the platform

See the platform in action

Book a live walkthrough tailored to your processes, roles, and review requirements.