Risk you can see before it moves.
An AI-augmented ERM system that gives organisations a live, predictive view of risk across the business. A classic risk register and heat map join machine-learning prediction and AI agents that draft and execute mitigations.
From a static register to a living system.
Most risk management is a spreadsheet that's out of date the moment it's saved. We build ERM that stays current: risks scored on severity and likelihood, owned and tracked, with key risk indicators trending against thresholds and alerts firing the moment posture changes.
The differentiator is the AI layer. Risks are backed by dedicated ML models and named agents that predict before the event and respond during it, with a human in the loop on every consequential action.
From risk register to response
A connected system from register to automated response.
Risk Register
Full inventory of risks with severity × likelihood scores, owners, status, and mitigation tracking.
Risk Heat Map
A likelihood × severity matrix with colour-graded cells: posture at a glance.
Key Risk Indicators
Quantified KRIs with thresholds, trend direction, and good / warning / critical status.
Real-time Alerts
An info / warning / critical feed that surfaces change the moment it happens.
ML Prediction Models
Anomaly, threat, behavioural, and financial-forecasting models, each with stated accuracy.
AI Risk Agents
Named agents (ComplianceGuard, CyberShield, TreasuryOptimize) that draft and execute mitigations at a defined automation level, human-in-the-loop.
Across the stack
ERM is the rest of the stack pointed at risk.
See risk before it materialises.
Bring us where risk hides in your business: compliance, cyber, financial, operational. We'll build the register, the models, and the agents around it.