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.
Last updated
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
Requirements & use-case diagnosis
Map the scenario, data, and existing systems; judge feasibility and priority. You can start with a free AI adoption diagnosis.
- 02
Architecture & solution design
Design the agent architecture, model selection, and integration plan; define scope and acceptance criteria.
- 03
Development & integration
Custom implementation on open-multi-agent, wiring into existing systems and knowledge bases, with an evaluation harness.
- 04
Deployment, acceptance & handover
Production deployment (private and on-premise models supported), acceptance, SOPs, and team handover.
Want to know which service fits your scenario?