Join us for a live session with Workato to explore how agentic automation is moving from experimentation to execution.
Over the past months, we've seen a clear shift in the AI space: from copilots that assist, to agents that act. The challenge is no longer generating answers, but reliably turning those answers into real-world outcomes across systems. Workato has helped hundreds of customers make that shift — including teams at Vodafone, H&M, GoCardless and DMG.
Workato sits at this intersection with both agentic capabilities and its Enterprise MCP (Model Context Protocol). In this session, Austin — our agentic specialist who has built and deployed agents across these customers — will walk through how agent-driven decisions translate into orchestrated workflows across APIs, SaaS platforms, and internal systems. Workato's agents handle reasoning and action, while MCP provides a governed execution layer for scale, consistency, and control.
Rather than isolated agents, the focus is on structured, policy-driven automation that ensures traceability and reliability. We'll also cover how this fits into a broader agent ecosystem — connecting LLM reasoning with deterministic workflows, managing state, handling failures, and maintaining visibility across execution chains.
What you’ll get from this session:
- How Workato’s agents and Enterprise MCP coordinate complex workflows
- Connecting LLM reasoning with governed automation layers
- Orchestrating across APIs, SaaS tools, and internal systems
- Reliability: retries, fallbacks, and human-in-the-loop
- Observability and control with MCP
- A live demo of an end-to-end agent-driven process
Who this is for:
- Technical and architecture leaders designing automation and orchestration layers
- Engineers building agent-triggered workflows
- Platform teams driving interoperability and composable architectures
- Teams moving from AI prototypes to production
- Vendors exposing capabilities to agent-driven systems

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