Risk Agents is built on three decades of experience managing risk at the world's largest financial institutions—now delivered through AI
Risk Agents was created by Gavin Slater, a Chief Operating Officer within Risk with 30 years of experience building and transforming risk functions at:
Head of Risk Infrastructure (2021-Present)
Leading Risk Reporting team and Risk Change initiatives
Global Head Market & Credit Risk Infrastructure (2008-2013)
Led team of ~300 people, harmonized risk management infrastructure
COO Market Risk Management (2001-2008)
Managed all support activities for Market Risk Management function
Head of Trading & Risk Programme (2016-2019)
Led cultural transformation of trading business
Chief Operating Officer (Risk), Risk Agents Founder
How 30 years of managing risk functions led to the creation of Risk Agents
Three decades managing risk at Barclays, Deutsche Bank, and ICBC Standard Bank. Built and transformed complete risk functions covering credit, market, operational, liquidity, model, and climate risk.
Watching the emergence of Large Language Models (LLMs) and realizing their potential to transform risk management. Started experimenting with AI agents for risk analysis, combining banking expertise with cutting-edge AI capabilities.
Development of the Risk Agents platform combining three innovations: Skills (modular capabilities), Fabrix Patterns (composable workflows), and Natural Language (query-based reporting). Turning 30 years of CRO expertise into AI-powered risk intelligence.
Risk Agents launches to transform how financial institutions manage risk. From day one, clients get access to 100+ skills, 75+ patterns, and 30 years of CRO expertise—no multi-year implementations, no armies of consultants.
The core principles that guide Risk Agents development
Risk Agents is built on 30 years of real banking experience, not theoretical frameworks. Every skill and pattern reflects what actually works in managing risk at global financial institutions.
We believe in composable, modular capabilities rather than rigid, all-or-nothing systems. Skills combine into patterns, patterns solve problems, and the system evolves with usage.
Risk professionals should ask questions in plain English, not learn complex systems. The platform should adapt to users, not the other way around.
Patterns that track success and improve over time beat static “best practices.” Risk Agents learns from every query, every pattern, every outcome.
Information should be captured, curated, and consulted—not buried in SharePoint. Every insight, every analysis, every piece of knowledge should be instantly accessible.
AI should augment human expertise, not replace it. Risk Agents coordinates skills and patterns to support decision-making, always with human oversight and judgment.
Risk Agents is coming in 2026. Register for early access and be part of the transformation.