Risk Intelligence
in Practice:
See it in Action
FRG’s Risk Intelligence Framework empowers institutions to apply risk intelligence seamlessly across complex financial, energy, and commodity environments.
See how FRG’s Risk Intelligence Platform can make model monitoring as easy as a conversation.
Monitor model drift by describing what you need—no code, no tickets, no configuration. The FRG platform translates natural language into active monitoring.
The FRG Digital Team Workspace
The FRG Digital Team Workspace turns risk intelligence into a conversation. On the left, teams describe monitoring needs in plain language. On the right, watch your request come to life as the AI team uses blueprints, metadata, skills and its own experience perform the actions in real time.
Step by step
How the Process Works
From a plain-language request to production-ready analysis, with built-in governance and control.
1 - Describe
State what you need in plain language — the model, metric, and threshold.
For example: “Tell me our estimated credit provisioning if crude hits $120 a barrel and the Fed raises rates 50 bps.”
2 - Propose
The AI agent analyzes your request, selects the appropriate capabilities, and drafts a monitoring blueprint tailored to your environment.
3 - Approve
Before anything runs, you review exactly what will be built — metrics, schedules, and dependencies — and explicitly approve execution.
4 - Generate
Once approved, the agent generates the monitoring assets, validates them against platform schemas, and resolves dependencies automatically.
5 - Execute
The platform deploys the processes, configures monitoring schedules, and submits production jobs using your existing infrastructure and controls.
6 - Confirm
You receive confirmation when monitoring is live, including baseline capture and the next scheduled evaluation.
Example: “Baseline captured from 2025 Q4 data. Next check scheduled for quarter end."