AI AGENTS
Multi-Agent Systems
Coordinate specialized agents around a shared workflow, with people in control.
Discuss your projectWhat is multi-agent systems?
A multi-agent system divides a workflow between specialized AI components. Each component has a defined job and passes structured work to the next step, rather than giving one agent unrestricted responsibility.
Where it can help
- A complex process crosses several departments.
- One assistant has too many unrelated responsibilities.
- Handoffs need consistent context and clear ownership.
What we can build
- Research-to-qualification workflows
- Sales handoff orchestration
- Specialist task routing
- Bounded tool access per agent
- Review and exception checkpoints
Good questions. Clear answers.
Is a multi-agent system always better?
No. Most projects should start with the smallest reliable workflow. Multiple agents are appropriate only when specialization and coordination provide a clear benefit.
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