How Trane gets building insights 60x faster with Amazon Bedrock AgentCore
In about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20-second natural language interaction, a 60x improvement in time-to-insight. This post shares the architectural approach and key design decisions behind the solution.
Trane Technologies, a global climate innovator with over $21 billion in annual revenue, manages millions of connected HVAC assets worldwide. However, accessing operational insights from these assets can take up to 20 minutes due to the need to cross-reference multiple dashboards. To address this issue, the company built an AI-powered agentic solution on Amazon Bedrock AgentCore, reducing the time to a mere 20 seconds.
This represents a 60x improvement in time-to-insight, shifting operations from reactive response to proactive, data-driven optimization. The solution employs a multi-agent architecture, with each specialized assistant governed by its own system prompt, ensuring focus on a single capability domain. These agents enable role-based access control, real-time HVAC analytics, intelligent search across Trane's knowledge base, and an extensible architecture that evolves with advancing AI capabilities.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
