Presented by
Eugina Jordan, CEO & Co-Founder | YOUnifiedAI
About this talk
AI agents are being integrated with enterprise data and applications using MCP. But connectivity alone does not ensure secure or cost-effective outcomes. Without clear business context, defined authority and coordinated execution, agents can misinterpret actions, stall workflows or create audit gaps. These failures drive up costs and expose organizations to operational and legal risk. This session clarifies where MCP’s technical promise meets operational reality and shows leaders how to move beyond proof of concept to achieve dependable, scalable results.
We will break down a vendor-neutral, five-layer value stack: connectivity, business context, controls, workflow execution, and value measurement. Each layer addresses common failure modes—conflicting records, permission errors, incomplete transactions, excessive handoffs, and deployments that fail to deliver ROI. You will learn how to assess agent readiness, choose workflows with strong unit economics, implement guardrails and recovery plans, and align technical KPIs with business goals like cycle time reduction, cost avoidance, error prevention and revenue protection. Guidance will be grounded in real-world examples, emphasizing governance, auditability, exception management and operational resilience.
CEO and industry thought Eugina Jordan will explain how to ensure connected agents deliver accountable execution at the enterprise level.
Key Takeaways
- Assess the agent architecture and operating risk using a five-layer value stack.
- Diagnose failure patterns in context, permissions, execution continuity, and recovery.
- Select workflows based on business value, execution risk, and readiness—not novelty.
- Track operational KPIs like completion rate, exception rate, human-intervention rate and time to resolution.
- Use a production-readiness scorecard to decide whether to redesign, scale or stop an agent.
