To AI or not to AI? That is the question. For today’s enterprise, however, it’s no longer whether or not to leverage AI, but how to operationalize it safely, at scale, and without replacing existing infrastructure.
SnapLogic customers are at the forefront of this shift, moving past the foundational work of connecting systems and moving data. They’re now focused on the next, more complex challenge: making that data fully usable by intelligent systems and the people who rely on them. This is where many organizations experience friction, as the demand for AI-driven workflows is outpacing architectures designed for simpler data movement.
During a recent SnapLogic user group, a clear theme emerged: the primary challenge isn’t enthusiasm for AI, it’s readiness for AI. As AI projects mature, questions around governance, security, scale, and ownership are surfacing rapidly.
Many existing integration frameworks were never designed to handle these demands from an intelligent agent. This readiness gap is exactly what the Model Context Protocol (MCP) is designed to close.
How SnapLogic users are activating intelligent action with MCP
SnapLogic users are utilizing MCP to transform their existing integration layer into the foundation for AI. MCP provides a standardized, secure way for AI agents to discover and interact with enterprise systems.
Specifically, SnapLogic customers are taking action by:
- Converting existing SnapLogic pipelines into secure, discoverable MCP servers
- Exposing prior integration investments as reusable AI tools, maximizing their value
- Consuming external AI functionality directly within their pipeline logic using MCP Snaps
- Applying enterprise-grade control, governance, and authentication to all AI interactions, ensuring control and security for the business
The powerful takeaway for every user is this: AI needs a reliable, always available integration layer. By leveraging the SnapLogic platform they already trust, organizations can accelerate their move to intelligent action without compromising control.
Webinar on-demand: Learn how to Unlock Business Velocity With MCP-Powered Integration
Preparing integration for AI execution
Beyond the immediate tactical moves, users are planning for the future. The conversation around AI is actively influencing how SnapLogic users approach:
- Integration architecture decisions
- Automation expectations across teams
- Governance and security models
- The pace at which delivery is expected
What we are seeing is a desire to be prepared. Businesses are experimenting, adjusting, and monitoring different use cases to understand how AI applies and benefits their business.
At the same time, users are educating themselves to ensure that when AI initiatives transition from exploration to execution, their integration foundation and skills are ready for immediate impact. MCP has shifted the conversation from possibility to practicality.
Your next steps on the AI journey
To help you assess your own readiness and near-term priorities, SnapLogic is offering a lightweight AI Integration Readiness / Health Review for select customers, focused on your actual environment and goals. Contact your Account Manager for more information.
We are ramping up for AgentFest 2026, an upcoming SnapLogic event where industry leaders will explore how AI agents are reshaping enterprise innovation. More details on this event will be shared soon. Until then, you can check out last year’s AgentFest sessions on demand.
AI momentum is real, but sustainable progress relies on strong, stable foundations. SnapLogic is proud to support customers as they move from integration to intelligent action, at their pace, with confidence.
