Context Graphs - AI’s Trillion-Dollar Technology

🎙️ Episode Overview

In the first episode of the AI to ROI: Big Story podcast, co-hosts Peter Buchanan and Ray Rike explore the emerging importance of Context Graphs in AI Software. Why are context graphs suddenly being called a trillion-dollar opportunity in enterprise AI? This conversation digs into the “glue technology” that fills a missing gap in the AI stack—moving AI from experimental pilots to reliable production, especially in regulated and high-stakes workflows.

🎧 Featured Hosts

Ray Rike — CEO of Benchmarkit

Peter Buchanan — Managing Partner of New Plan

📊 Key Topics Covered

The conversation dives into:

• Why context graphs provide the connectivity agentic AI lacks—capturing who made a decision and under what specific constraints

• How context graphs go beyond traditional knowledge graphs by revealing the “why” behind an event through decision traces, policy constraints, and precedents

• How context can prevent “data breakage” and support auditable, trustworthy AI in regulated workflows

• Real-world use cases including data governance at Vanguard and Prudential, plus quality control in the automotive supply chain

• The vendor landscape, including Atlan, Neo4j, and Writer—and why Microsoft and Salesforce are “lurkers” to watch

🔮 Looking Ahead

The episode points toward a shift from simple data points to decision lineages that make enterprise AI more reliable and accountable.

🚀 Why Listen?

If you want to understand why context is becoming central to trustworthy AI and production-grade outcomes, this episode lays the foundation with clear examples and market context.