Tray.ai aims to solve the integration and automation challenges organizations face, particularly as they transition from on-premise to cloud environments. In this segment, Rich Waldron, CEO and Co-Founder of Tray.ai, discusses the company’s launch of Tray Merlin Agent Builder and Tray Agent accelerators—powerful tools designed to help businesses create AI agents that integrate across their existing technology stack. Waldron explains, “We see a great opportunity for organizations to take back control and build agents that can work across their entire stack.”

AI agent integration remains a major challenge for many organizations. Tray Merlin Agent Builder and accelerators provide pre-configured templates that make building and customizing AI agents easier. These tools ensure smooth authentication and connectivity between applications. They are being used to develop IT support agents, customer service bots, and marketing automation assistants, helping teams automate repetitive tasks and improve efficiency.

Tray.ai’s recent AI agent development survey—State of AI Agent Development Strategies in the Enterprise, aims to understand the common challenges organizations face and what to expect in the next 12 months. Waldron shares the key findings of the survey, highlighting that 40% of respondents are actively developing AI agents while over 80% feel their technology stack is not ready to support them. This gap underscores the need for better integration solutions that allow businesses to deploy AI without extensive infrastructure changes.

Waldron talks about the importance of Integration Platform as a Service (IPaaS) in enterprise AI agent adoption. Waldron describes IPaaS as essential for connecting data sources across an organization while enabling AI agents to take action within various applications. Without IPaaS, businesses would need to build integrations from scratch and manage disparate vendor solutions. Waldron explains how this creates inefficiencies that slow AI adoption.

Discussing Tray.ai’s capabilities to handle unstructured data in AI applications, Waldron notes that while businesses have long collected unstructured data, the cost of processing it has been a barrier. However, AI is now enabling organizations to analyze and extract value from this data. Tray.ai’s tools, like its native vector database and data modeling services, can help businesses incorporate unstructured data into AI-driven workflows.

Waldron highlights AI’s potential to transform industries, stressing that automation and integration are more crucial than ever. Waldron believes that organizations must embrace rapid prototyping and continuous iteration to keep pace with AI’s rapid evolution and remain competitive. By providing the necessary tools and infrastructure, Tray.ai aims to help organizations streamline AI adoption and integrate automation into their operations.

Guest: Rich Waldron
Company: Tray.ai
Show: Let’s Talk

This summary was written by Emily Nicholls.