Where Agents Actually Pay Off: Four tests for finding the AI use cases hiding in your business

​Join Firsthand's applied AI lead, Chen Chen, for a practical session on finding the agent projects actually worth building in your business. Everyone is being told to put AI agents to work. Almost nobody can tell you where to point one, and that's not a technology problem. You'll learn four tests you can run on your own operation to find where an agent would genuinely earn its keep, and where it wouldn't.

​Chen will walk through all four using one real business taken apart end to end, showing where its information quietly dies between teams and systems. You'll see which problems agents can finally solve that earlier automation never could, and which are still better left to ordinary software.

​Bring an operation that annoys you. Whether you're new to AI or already running agents in production, you'll leave knowing which part of it is worth handing to an agent, which parts aren't, and where to start.

Our Speaker:
Chen Chen leads the applied AI team at Firsthand, a B2B AI company, where she builds and evaluates the agentic systems behind live marketing campaigns, plus the internal "world model" that lets agents act on how the business actually runs.