"Most failed strategies oversimplify the problem. Real workflows require orchestration across systems, data, and rules that reflect how businesses actually operate. Don't take shortcuts. Tackle the hard problems."
Nam Le
SVP & GM, Workato
INDUSTRY REPORT
The Integration Imperative in the Agentic Era
AI agents and Model Context Protocol are reshaping SaaS integration strategies. This report examines how SaaS platforms are turning connectivity into competitive differentiation and what it takes to support enterprise-grade agentic workflows.
AI agents need more than models, they need infrastructure
Drawing on multiple research sources including SaaS product leader surveys, aggregated Workato embedded platform usage data, and enterprise AI readiness research, this report uncovers the patterns that separate AI experimentation from production-grade deployment.
What You’ll Learn
- The evolution from APIs to agents: Why most organizations limit agentic AI to supervised tasks, and why integration infrastructure determines production readiness.
- The state of embedded integrations: How integration demands vary across and the baseline capabilities enterprises now expect before evaluating new platforms.
- MCP and enterprise readiness: MCP has emerged as the standard for connecting AI agents to tools, but protocol compliance alone won’t deliver production-grade agentic infrastructure.
- How to orchestrate without compromise: What orchestration means in practice, why it delivers measurably better outcomes, and where to focus investment for maximum impact.
- The opportunity for SaaS: How deep domain expertise positions platforms to power customer-centric agentic strategies.