Marcus Thorne leads the Autonomous Multi-Agent practice at Aurevion AI. Prior to Aurevion, Marcus engineered event-driven transaction pipelines processing $4B+ in annual transactional volume. He focuses on pairing Microsoft AutoGen and LangGraph with Temporal.io durable state engines to eliminate unconstrained agent loops in production back-offices.
Why confusing conversational chatbots with autonomous multi-agent workflows costs enterprises millions, and an actionable decision matrix for software leaders.
Stop relying on subjective spot-checks. How to measure the RAG Triad—Context Relevance, Groundedness, and Answer Relevance—in your automated CI/CD pipelines.
A realistic economic analysis of autonomous agents in 2026. Discover which business workflows yield 10x ROI and which create expensive, unconstrained agent loops.
How to engineer deterministic dual-key human authorization into autonomous LangGraph and Temporal.io pipelines to prevent unauthorized financial or data mutations.