When Your Biggest Research Customer is an AI Agent

Autonomous agents are poised to become the largest buyers of market research and data.

Today, AI tools like MCP (Model Context Protocol) give human researchers simpler, faster access to insight workflows and data.

Tomorrow, they will let autonomous AI agents define their knowledge gaps, design their own projects, build sample plans, run fieldwork and conduct analysis.

In fact, AI agents could soon be your biggest customers.

Want to learn more about how this shift could change your work, your team, and your business model?

Join us for a fireside chat with Lindsay Fordham, Cint’s Interim Chief Product Officer, and Mike Stevens, Founder of Insight Platforms, to discuss what this all means.

Key Discussion Points & Takeaways:

• The “Pane of Glass” Shift: Why business leaders are bypassing traditional research platforms and starting their research directly inside AI chat interfaces.
• The Rise of Autonomous AI Agents: Why future research workflows, from survey design to sample ordering, will be conducted directly by AI agents rather than human operators.
• Demystifying Model Context Protocols (MCPs): How MCPs work under the hood to let AI agents connect seamlessly with research APIs without custom code or manual platform hopping.
• Navigating the Illusion of Accuracy: How to identify the risks of ungrounded LLM outputs and why real human panel data remains essential for truth.
• Real-World AI Execution: Practical takeaways from early MCP implementations, including zero-learning-curve sampling, automated quality auditing, and instant project deployment.