Multi-Agent System Integration
Enterprise-grade delivery on the open-multi-agent framework.
When a task needs several roles dividing the work in parallel, or you need to wire AI Agents into your existing CRM, ERP, and knowledge bases, a single agent isn't enough. We design multi-agent architectures and integrations on open-multi-agent, engineering the orchestration, communication, and system wiring to production grade — stable, observable, handover-ready.
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When it fits
- A single agent can't handle it: the task needs several roles working in parallel (e.g. research → analyze → generate → review)
- You need to wire AI Agents into existing CRM / ERP / internal APIs and knowledge bases
- You have an open-multi-agent (or other framework) prototype that needs engineering to production grade (stability, performance, observability)
- Multiple models and multiple agents need unified orchestration and scheduling
What you get
- Multi-agent architecture design
- Inter-agent task orchestration and communication
- RAG knowledge base build and integration
- Wiring into existing systems (CRM / ERP / internal APIs)
- Performance and stability tuning
- SOPs and team handover
How we work
- 01
Assess
Map the scenario, data, and existing systems; judge feasibility and priority. The first diagnosis is free.
- 02
Validate POC
A runnable prototype and a versioned EvalSet set the acceptance baseline and a Go / No-Go recommendation. Optional, as the project needs.
- 03
Build & integrate
Custom implementation on open-multi-agent, wiring into existing systems and knowledge bases, with an evaluation harness.
- 04
Deploy
Production deployment, private and on-premise models supported, accepted against the baseline.
- 05
Handover
Custom project source, tests, runbooks, SOPs, and team training, handed to your team to run.
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