From detection to decision in seconds: How LexisNexis Risk Solutions powers autonomous operations with Grafana IRM, Assistant Investigations, and Knowledge Graph

When an alert fires at LexisNexis Risk Solutions, the company powering risk decisions for the last half century at financial, insurance, and government services worldwide, five things happen in seconds: an incident is created, ServiceNow syncs, Grafana Assistant Investigations kicks off, the on-call team is paged, and a bridge line opens. No one manually triggered any of it.

Three years ago, none of this existed. LexisNexis started logs-only, on-prem and mid-migration to Azure. A one-month proof of value changed the direction — from traditional monitoring to full-stack observability across logs, metrics, traces, and then eventually Grafana IRM, and Grafana Assistant Investigations. Today, that foundation powers autonomous workflows where Grafana Assistant helps teams resolve incidents faster and with richer context.

Neil Wilson, Senior Director of Software Engineering, walks through the architecture and what comes next: feeding organizational knowledge into the investigation process through GitHub MCP, service ownership, and Knowledge Graph relationships so Grafana Assistant can surface impact, dependencies, and business context in real time. He also shares how LexisNexis extends observability beyond infrastructure telemetry into business and operational data to catch problems traditional metrics miss.