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This presentation focuses on practical strategies for democratizing AI agent development within enterprise R&D teams by simplifying infrastructure and avoiding complex retrieval setups. The core lesson is that organizations can accelerate internal adoption by combining no-code tools with custom MCP servers while aligning security and legal protocols early in the process.
Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in Two Weeks

Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&D. By Ben Maraney
Ben Maraney: I was at QCon in London a few months ago, and in one of the breakout sessions I got talking to Krys Flores, who was one of the speakers. I mentioned some work we've been doing around enabling people across R&D to build agents for ourself. She looked at me and she said, you know in my organization that seems impossibly far away. That puzzled me a bit. As I went through the rest of the conference, I sat in a bunch of really interesting, engaging, relevant talks on AI. What I realized was that mostly they were dealing with the hard parts about building agents. I thought about what we'd done, and it hadn't felt that hard. The truth is that what happened was we just sidestepped a lot of the hard parts about building agents. What I want to do with this talk is to tell you that building agents does not need to be hard. You can and you should make it easy. My name is Ben Maraney. I'm a principal engineer at Forter, where I've dealt with machine learning, data engineering, a bunch of cross-cutting stuff. I was lucky enough in 2023 to do…
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