Separate roles
Give each agent a defined responsibility and a clear handoff condition for the business task.
Agent orchestration
How do I orchestrate multiple AI agents for one business task?
Orchestrate multiple AI agents for one business task by assigning clear roles, placing each runtime under an owned tenant boundary, and coordinating lifecycle, policy, schedules, handoffs, and run evidence from an operating layer. Bewize uses Hermes Hub for those controls and A2A edge support when compatible agents need to exchange work.
Controls that keep multi-agent work coherent
Coordination improves when every agent has an explicit operational owner.
Control lifecycle
Start, stop, wake, reconcile, and inspect runtimes through managed operational actions.
Review evidence
Connect schedules, streamed run events, stop controls, usage, and outcomes to the owning tenant.
Multi-agent orchestration FAQ
What is the first step?
Define one business task, its agent roles, the tenant boundary for each runtime, and the evidence operators must review.
How can agents delegate to each other?
Compatible agents can use A2A edge support with agent cards, credentials, peers, and routed messages.
What prevents a collection of agents becoming scattered bots?
Central lifecycle, policy, schedule, release, credential, access, and run-history controls keep the agents part of one operating model.
Plan a multi-agent operating loop
Choose the first task, roles, handoffs, tenant boundaries, and evidence your operations team will inspect.
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
Email the Bewize teamThis opens your email application. Read our Privacy Policy.