Agentic flow builder
The AI Trainer helps you design any agentic workflow — procurement, onboarding, support, compliance, or claims. Attach documents and process material; it proposes roles, taxonomy, and review paths for your organisation.
Features
Everything you need to run a governed AI workforce
Configure agent networks in days. Trigger work from Teams, email, or events. Delegate across specialists. Review before publish. Learn and improve — all under human control.
Workspaces & roles
Workspaces mirror your internal organisation — business units, projects, or process domains. Each role agent carries scoped tools, review paths, and workflow types aligned to real accountability.
Agent delegation
When an agent lacks the skillset for a task, it reaches into its network and delegates. Orchestrators monitor team status while specialists execute in parallel.
Multi-channel triggers
Teams bots, shared mailboxes, meeting recordings, Azure DevOps and Jira webhooks, scheduled heartbeats, and rule-based listeners on subject lines, senders, or meeting organisers.
Execution modes & review
Assist for advisory work. Draft when human approval is required before publish. Auto for well-understood repeatable work. Every material outcome remains reviewable.
Learn & evolve
Corrections, clarification patterns, and human teaching feed a governed knowledge base. Evolution insights propose improvements — all requiring admin approval before they take effect.
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. Insurance claims is what we show in the demo; procurement, HR onboarding, and support triage configure the same way.
In guided sessions, a complete organisation structure is often configured in under twenty messages. 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 a question. OrqForge coordinates trained role agents through scoped work — with delegation, review gates, stage history, and retained evidence. It is built for operational work, not unmanaged conversation.
Can agents delegate work to each other?
Yes. When an agent encounters work outside its skillset, it delegates to specialists in its network. A process orchestrator monitors progress while domain specialists execute in parallel — the same pattern whether you are running claims, incidents, approvals, or delivery work.
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. In live walkthroughs we configure a full insurance-claims flow in under twenty messages with the AI Trainer; the same builder applies to any process you define.
Is OrqForge only for insurance?
No. Insurance claims is one example we use in live demos — showing how an insurer can turn a messy intake into a structured assessment in minutes. OrqForge is a vertical-agnostic agentic flow builder for any enterprise process: operations, support, delivery, finance, HR, and more.
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.