Multi-agent orchestration is not about adding more AI agents. It is about designing how specialized agents work across different reasoning boundaries while one orchestrator remains responsible for the business outcome. In this episode, Jas Kaur, CTO of Teqfocus, explains how enterprise multi-agent systems should be structured around specialization, routing, context, governance, authority, and accountability.

The episode shows why agents working independently are not the same as orchestration, and why enterprise architecture needs a coordination layer that can reconcile different perspectives into one decision.

Using Agentforce Multi-Agent Orchestration, Jas demonstrates how specialist agents can handle relationship context, pricing and margin, risk, and contract constraints while a central orchestrator manages the end-to-end workflow.

The episode also covers human approval, least-privilege access, conflicting outputs, missing evidence, and what should happen when the system cannot verify an important input. The key idea is simple: enterprise AI needs to coordinate not only agents, but also uncertainty, control, and accountability.