Open Source in Finance Forum London 2026

In highly regulated environments like financial services, a production issue isn't just downtime. It's potential regulatory exposure, audit liability, and cascading business disruption. Current root cause analysis and remediation workflows are often slow, manual, and introduce unnecessary stress: an on-call engineer gets paged at 2am, spends hours correlating across observability tools, drafts a fix under pressure, and hopes it passes review before the SLA clock runs out.

This session introduces a paradigm shift. By pairing an AI SRE agent with GitHub Copilot, we create a pipeline that moves from on-call alert to a tested, compliant PR in minutes, not hours. You'll see live how the SRE agent receives an alert, correlates data, and produces an RCA with supporting evidence. Using the RCA as context, we drive a targeted fix, run it through security scanning and test pipelines, and open a fully documented PR all through agentic orchestration. Attendees will leave with an architectural pattern for wiring together AI agents via MCP—and a clear picture of how agentic incident response can be the foundation of a process that is faster, more auditable, and built for regulated environments.