Our Story

30 Years
of Risk Operations Expertise

Risk Agents is built on three decades of experience managing risk at the world's largest financial institutions—now delivered through AI

Built By Experience

From Banking's Risk Frontlines to AI Innovation

Risk Agents was created by Gavin Slater, a Chief Operating Officer within Risk with 30 years of experience building and transforming risk functions at:

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ICBC Standard Bank

Head of Risk Infrastructure (2021-Present)

Leading Risk Reporting team and Risk Change initiatives

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Barclays Bank

Global Head Market & Credit Risk Infrastructure (2008-2013)

Led team of ~300 people, harmonized risk management infrastructure

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Deutsche Bank

COO Market Risk Management (2001-2008)

Managed all support activities for Market Risk Management function

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Nordea Bank

Head of Trading & Risk Programme (2016-2019)

Led cultural transformation of trading business

Gavin Slater

Gavin Slater

Chief Operating Officer (Risk), Risk Agents Founder

30 years building risk infrastructure & operations
Led teams of 300+ in risk transformation programs
Head of Risk Infrastructure at ICBC Standard Bank
Former COO Market Risk at Deutsche Bank
Specialist in target operating models & change delivery
The Problem

Why Risk Management Needs Transformation

Traditional Risk Management

  • Static Reports: 50+ monthly reports that are outdated the moment they're produced
  • Manual Processes: Weeks to answer ad-hoc questions, hundreds of Excel spreadsheets
  • Siloed Knowledge: Expertise locked in individuals' heads, lost when they leave
  • No Learning: Same mistakes repeated, no improvement in workflows over time
  • Reactive: Always responding to events rather than preventing them

Risk Agents Approach

  • Natural Language: Ask questions in plain English, get instant structured answers
  • Instant Analysis: Complex risk scenarios analyzed in seconds, not weeks
  • Captured Expertise: 30 years of CRO knowledge embedded in every skill
  • Evolving Workflows: Patterns track success and improve automatically
  • Proactive: Identify emerging risks before they become problems
Our Journey

From Banking Risk to AI Innovation

How 30 years of managing risk functions led to the creation of Risk Agents

1

1995-2025: Banking Risk Management

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.

Basel II/III/IVIFRS 9FRTBCCAR/ICAAPClimate Risk
2

2023: The AI Transformation Begins

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.

LLM AdoptionAgent FrameworksRisk + AI
3

2024-2025: Building Risk Agents

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.

100+ Skills75+ PatternsClaude IntegrationContext Management
4

2026: Launch & Beyond

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.

Early Access ProgramBeta TestingGeneral Availability
Our Principles

What We Believe

The core principles that guide Risk Agents development

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Experience Over Hype

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.

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Skills Over Monoliths

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.

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Natural Language Over Training

Risk professionals should ask questions in plain English, not learn complex systems. The platform should adapt to users, not the other way around.

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Evolution Over Perfection

Patterns that track success and improve over time beat static “best practices.” Risk Agents learns from every query, every pattern, every outcome.

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Context Over Documents

Information should be captured, curated, and consulted—not buried in SharePoint. Every insight, every analysis, every piece of knowledge should be instantly accessible.

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Orchestration Over Automation

AI should augment human expertise, not replace it. Risk Agents coordinates skills and patterns to support decision-making, always with human oversight and judgment.

Join Us on This Journey

Risk Agents is coming in 2026. Register for early access and be part of the transformation.