Agent Orchestration in the Enterprise: Coordination, Control, and Scale
Graphwise x Data Science Connect webinar
Graphwise joins this Data Science Connect roundtable on agent orchestration.
As enterprises move from isolated AI assistants to interconnected agentic systems, orchestration is becoming a critical layer of the AI stack. Coordinating multiple agents across tools, data sources, models, and workflows introduces new opportunities for automation, but also new challenges around reliability, governance, observability, and control.
At Graphwise, we think about orchestration as fundamentally a context problem, agents can only coordinate well when they share a common, structured understanding of the data and workflows they’re operating on. We’ll bring that perspective to the conversation, alongside the panel’s broader exploration of what it takes to design and operationalize agent orchestration in enterprise environments: assigning roles, managing handoffs, monitoring performance, and enforcing guardrails, so organizations can build coordinated agent systems that scale without sacrificing trust, security, or human oversight.
What You’ll Learn:
- From Agents to Systems: How orchestration enables multiple agents, models, tools, and workflows to work together toward shared business objectives.
- Coordination and Handoffs: Approaches for assigning tasks, managing dependencies, resolving conflicts, and maintaining context across agents.
- Control and Observability: How to monitor agent behavior, evaluate performance, and intervene when workflows break down or produce unexpected outcomes.
- Scaling Responsibly: Strategies for governing, securing, and scaling agentic systems while maintaining accountability and appropriate human oversight.