Agentic flow builder
Design your workforce in days: workspaces, roles, chain of command, and which pipeline stages each agent runs. Attach process material; the AI Trainer proposes the operating model.
Features
Everything you need to run a governed AI workforce
Design role agents, map orchestrators to specialists, and enable pipeline stages per role. Days to configure, not years.
How it works
Work moves like a real operations team
One operating model for any process your organisation runs.
Intake arrives from Teams, email, or a webhook. An orchestrator triages and assigns specialists. Each agent runs the stages configured for its role while others work in parallel. Humans approve before anything publishes.
See agentic pipelines →Workspaces & roles
Workspaces mirror your organisation: business units, projects, or process domains. Each role agent carries scoped tools, review paths, and its own pipeline configuration.
Chain of command & delegation
Orchestrators delegate to direct reports only. Each delegation spins up specialist pipelines in parallel, visible in the mission tree with full reasoning per agent.
Multi-channel triggers
Teams bots, shared mailboxes, meeting recordings, webhooks, and scheduled jobs. Work enters once; the orchestrator triages and routes it through the agent network.
Execution modes & review
Assist for advisory work. Draft when human approval is required. Auto for well-understood repeatable work. Review gates apply per agent and workflow type.
Learn & evolve
Each agent learn stage captures corrections and patterns. Evolution proposals require admin approval. Nothing silently changes behaviour.
Agentic flow builder
AI that helps you configure any workflow
The AI Trainer is OrqForge's agentic flow builder. Talk to it, attach documents, and describe your process. It proposes workspaces, roles, taxonomy, and review paths for whatever your enterprise runs.
The AI Trainer guides you through workspaces, roles, taxonomy, and review paths in a focused session. Production timelines depend on complexity, but the design target is days, not years, for any flow.
What the trainer proposes
- Workspace structure aligned to your organisation
- Role agents with scoped accountability
- Workflow taxonomy, what kinds of work agents handle
- Review paths and execution modes per workflow type
- Tool and integration bindings
Multi-channel triggers
Agents meet your teams where they already work. Install agents as Microsoft Teams bots, people communicate naturally and agents do the same work they would through the platform chat interface.
Beyond chat, OrqForge supports a wide range of triggers:
- Email listeners: shared mailboxes or user inboxes with rules: if subject contains a value, route to specific processing
- Meeting recordings: transcripts processed automatically when meetings end
- Scheduled jobs: run once a day, several times a week, or on any cadence you configure
- Webhooks: Azure DevOps work item changes, Jira events, and custom integrations
- Rule-based listeners: filter on sender, subject, meeting organiser, or any configured condition
Confidence triage
When input arrives, OrqForge classifies it against your taxonomy and assigns a confidence lane. High-confidence work proceeds quickly. Partial or low-confidence work enters a structured planning loop with targeted clarification questions, via Teams or the platform, before execution begins. Unclassifiable input escalates to a human operator.
Learn and evolve, governed
After every completed run, OrqForge extracts lessons from reviewer corrections and planning patterns. Knowledge entries start as pending review. Human teaching submissions require admin approval. Evolution insights track triage accuracy, review patterns, and prompt effectiveness over time.
When the system identifies improvement opportunities, it generates rule change proposals, prompt updates, triage adjustments, knowledge base merges. All proposals require human approval before they influence agent behaviour. Nothing is silently applied.
Feature questions
How is OrqForge different from ChatGPT or a chatbot?
A chatbot answers one question at a time. OrqForge runs like an operations team: role agents produce deliverables, orchestrators delegate down the org chart, and each agent moves through governed stages before a human approves the outcome.
What is an agentic pipeline?
The stages a single agent runs on its piece of work: ingest, triage, execute, review, learn, and more. You enable only what each role needs. When an orchestrator delegates, the orchestrator might be planning while one specialist is in execute and another waits in review.
Can agents delegate work to each other?
Yes. Orchestrators delegate to direct reports only, never skipping layers. Each delegation can start specialist pipelines running in parallel. A process orchestrator might be in triage while one specialist is in execute and another is in review.
How do humans stay in control?
Every workflow type declares an execution mode (assist, draft, or auto) and a review gate. Material outcomes require explicit approval. Learning and rule changes are governed; nothing is silently applied.
How long does it take to configure a workspace?
That depends on complexity, but the design target is days, not years. The AI Trainer guides you through workspaces, roles, taxonomy, and review paths in a focused session. The same builder applies to any process you define.
Is OrqForge only for insurance?
No. OrqForge is a vertical-agnostic agentic flow builder. Insurance claims is one workflow you can model; the same platform runs onboarding, support, approvals, delivery, finance, HR, and any process that crosses teams and review gates.
Where can agents be triggered from?
Microsoft Teams, email inboxes, chat, scheduled jobs, meeting recordings, webhooks, and custom rule-based listeners. Agents meet your teams where they already work.
Is OrqForge production-ready?
Yes. OrqForge is deployed in production for enterprise customers. The platform is fully configurable, highly scalable, and designed for teams who demand governed results, not experiments.
See how OrqForge configures agent networks, delegates work, and delivers governed results in production.