Design Philosophy

How We Think
About Risk Intelligence

The principles and design decisions that shape Risk Agents

Architecture

Three Foundational Innovations

Risk Agents is built on three core innovations that work together

đź§©
Innovation 1

Skills Framework

100+ modular capabilities across 9 risk domains. Each skill does one thing exceptionally well. Skills combine to solve complex problems.

Explore Skills →
🔄
Innovation 2

Fabrix Patterns

Composable workflows that combine skills into solutions. Patterns track success metrics and evolve based on what works.

Explore Patterns →
đź’¬
Innovation 3

Natural Language

Query-based reporting replaces 50+ static reports. Ask questions in plain English, get instant structured answers.

Explore Reporting →

Why This Matters

Traditional risk systems are monolithic—rigid, hard to change, and require months of implementation. Risk Agents is modular and composable by design:

  • âś“Start Small: Use a single skill for a specific task
  • âś“Grow Organically: Add more skills and patterns as needed
  • âś“Customize Freely: Combine skills in new ways for your specific needs
  • âś“Evolve Continuously: Patterns improve automatically based on success
Knowledge Architecture

Context Is Everything

How Risk Agents manages the massive context required for intelligent risk analysis

The Context Challenge

Risk management requires understanding:

  • •Organizational structure and hierarchy
  • •Risk policies, procedures, frameworks
  • •Regulatory requirements (Basel, IFRS, etc.)
  • •Historical data and precedents
  • •Current exposures and positions
  • •Market conditions and trends

Traditional systems store this in disconnected databases, documents, and people's heads.

The Risk Agents Solution

We use the 3 C's methodology:

  • 📥CAPTURE: Gather information from meetings, documents, voice, APIs
  • 📚CURATE: Structure, validate, categorize, enrich into knowledge graph
  • đź’ˇCONSULT: Use curated context to power intelligent analysis

Every piece of information is captured once, curated continuously, and consulted instantly.

Key Insight: Context + Skills + Patterns = Intelligence

Risk Agents doesn't just run calculations—it understands your organization. When you ask “What's my largest single-name exposure?”, it knows your organizational structure, your netting agreements, your collateral positions, your regulatory definitions, and your internal policies. That's what makes it intelligent, not just automated.

Goal Alignment

GTD for Corporations

Every action traces to organizational goals and principles

What is GTD?

Getting Things Done (GTD) is David Allen's productivity methodology based on the principle that you can only make good decisions when you have clarity at all levels:

Ground
Current actions and tasks
10K ft
Current projects
20K ft
Areas of responsibility
30K ft
1-2 year goals
40K ft
3-5 year vision
50K ft
Life purpose and principles

GTD for Risk Management

Risk Agents applies GTD principles to corporate risk management:

Ground
Daily risk monitoring tasks
10K ft
Current risk initiatives
20K ft
Risk domains (Credit, Market, etc.)
30K ft
Risk strategy and targets
40K ft
Risk transformation vision
50K ft
Risk culture and principles

Why This Matters

When you ask Risk Agents to “Assess counterparty risk for XYZ Bank”, it doesn't just run a calculation. It understands:

  • âś“Your risk appetite framework (50K ft)
  • âś“Your strategic risk targets (30K ft)
  • âś“Your credit risk policies (20K ft)
  • âś“Your current concentrations (10K ft)
  • âś“Your regulatory limits (Ground)
  • âś“Your monitoring requirements (Ground)
Key Decisions

Important Design Choices

The architectural decisions that shape Risk Agents

🎯

Skills Over Monoliths

We chose to build 100+ small, focused skills rather than a few large, complex modules.

âś“ Benefits:
  • • Easy to understand and maintain
  • • Can be combined in unlimited ways
  • • Fast to update or improve
  • • Clear responsibility boundaries
âš  Trade-offs:
  • • More coordination required
  • • Pattern complexity can grow
  • • Need robust orchestration
🤖

Claude as the Foundation

We built Risk Agents on Anthropic's Claude rather than OpenAI or other LLMs.

âś“ Benefits:
  • • 200K+ token context window
  • • Strong reasoning capabilities
  • • Better instruction following
  • • Focus on safety and accuracy
âš  Trade-offs:
  • • Single vendor dependency
  • • API availability considerations
  • • Model version management
📊

Patterns That Learn

We designed patterns to track success metrics and evolve, not stay static.

âś“ Benefits:
  • • Continuous improvement over time
  • • Evidence-based best practices
  • • Adapts to your organization
  • • Promotes successful patterns
âš  Trade-offs:
  • • More complex metadata tracking
  • • Need pattern governance
  • • Success metrics must be defined
đź’¬

Natural Language First

We prioritized natural language queries over traditional UI forms and dashboards.

âś“ Benefits:
  • • Zero learning curve
  • • Handles complex, nuanced requests
  • • Adapts to user's language
  • • No UI constraints on questions
âš  Trade-offs:
  • • Intent interpretation challenges
  • • Need strong NLU capabilities
  • • Requires query pattern library
Clear Boundaries

What Risk Agents Doesn't Do

Being clear about what we're NOT building

❌

We Don't Replace Your Core Systems

Risk Agents is not a trade booking system, general ledger, or data warehouse. We integrate with your existing systems—we don't replace them. Your source of truth stays where it is.

❌

We Don't Make Decisions For You

Risk Agents provides analysis, insights, and recommendations—but humans make the final decisions. We augment expertise, we don't replace judgment. Every analysis clearly shows its assumptions and limitations.

❌

We Don't Claim Perfect Accuracy

LLMs can make mistakes. We design for transparency and verification, not blind automation. Every significant calculation shows its workings. Every pattern tracks its success rate.

❌

We Don't Offer “One Size Fits All”

Every bank's risk function is different. Risk Agents provides skills and patterns you can customize, not rigid workflows you must follow. Your organizational structure, policies, and preferences shape how it works.

The Future

Where We're Headed

The long-term vision for Risk Agents

Phase 1: 2026

Core Platform Launch

  • • 100+ skills across 9 domains
  • • 75+ validated patterns
  • • Natural language queries
  • • Context management (3 C's)
  • • Integration with core systems
Phase 2: 2027

Advanced Intelligence

  • • Pattern learning and evolution
  • • Cross-domain pattern synthesis
  • • Proactive risk identification
  • • Advanced scenario modeling
  • • Real-time monitoring
Phase 3: 2028+

Autonomous Risk Operations

  • • Self-improving patterns
  • • Predictive risk analytics
  • • Automated regulatory reporting
  • • Industry pattern sharing
  • • Continuous transformation

Long-Term Goal: Risk Management That Learns

We envision a future where risk management systems get better over time, where patterns evolve based on outcomes, where knowledge compounds rather than deteriorates, and where every organization benefits from collective learning while maintaining their unique context.

Want to Learn More?

Explore the platform or register for early access