Enterprise AI budgets are real. The outcomes often aren't, yet. As organizations scale AI agents across the business, many hit the same wall: rising token consumption, runaway infrastructure costs, governance gaps, and architecture decisions that are hard to undo. Promising pilots stall before they ever reach production.

Join Workato and DynPro for a practical session on MCP readiness and the decisions that separate cost-effective enterprise AI from expensive experiments. We'll cover how to optimize token utilization, weigh build-versus-buy approaches to MCP, and compare custom, cloud-native, and vendor-provided architectures. The goal: give any AI the context, governance, and execution reliability it needs to deliver real outcomes at scale, with no rip-and-replace required.

You'll leave with a framework for assessing MCP readiness and a clear view of the choices that keep AI initiatives governed, scalable, and economical as they grow.

WHAT YOU'LL LEARN

• Token optimization and cost management strategies
• Build vs. buy MCP approaches
• Scalability, governance, and operational considerations
• Common pitfalls that drive unnecessary cost and complexity
• A practical framework for assessing MCP readiness

DETAILS:

• Date: July 22, 2026
• Time: 10:00 AM PT / 1:00 PM ET
• Location: Zoom Webinar