How Apollo's composable approach unlocked ROI across departments

Apollo.io didn't stop at one IT agent. They built fraud agents, legal agents, and customer intelligence agents using the same flexible foundation. 🔗 Watch the full conversation: https://tray.ai/resources/on-demand-webinars/apollo-tray-itsm-agent In this clip, Ramiro Meyer walks through what happened after they solved IT support with their first agent. The same composable framework that worked for password resets also worked for completely different use cases across the business. Their legal agent takes a different approach—it drafts answers based on the knowledge base but requires human validation before sending anything back. Their Customer 360 agent pulls data from multiple systems to identify pain points and client needs. Each agent has unique logic and validation requirements, but they all share the same underlying infrastructure. This is what composable AI actually means in practice. Instead of buying point solutions for every department or rebuilding from scratch each time, Apollo reuses workflows and patterns while customizing the interaction layer for each use case. That approach turned their initial IT investment into a platform that delivers value across fraud prevention, legal compliance, and customer intelligence. If your team is wondering whether AI investments can scale beyond one department or proof of concept, this shows what's possible when you build with composability from the start. #ComposableAI #TrayAI #AIAgents #WorkflowAutomation #ApolloAI #ScalableAI #MultiAgentSystems #EnterpriseAI #B2BAI #AgentBuilder --------------------------------- Learn more about Tray: https://tray.ai/ Follow Tray on Twitter: https://x.com/tray Follow Tray on LinkedIn: https://www.linkedin.com/company/tray-ai/