Risk Quantification · Pillar 02
Put a price tag on every autonomous action.
Use Enterprise Risk Management frameworks to assign financial and operational consequence to every move an autonomous agent could make. Hootleash converts qualitative fears into quantitative logic an algorithm can process - and enforces it at the agent layer.
Quantification, not qualification
Dollars beat heat-maps.
Risk committees love heat maps because they're easy to draw. Algorithms can't read them. Hootleash converts each cell of your risk matrix into a defensible dollar number - and feeds it back to the agent in real time.
- Probabilistic models calibrated on your last 18 months of operations
- Continuous back-testing against realised P&L and loss events
- Auditor-grade documentation of method, data, and assumptions
- Re-runs nightly. Your appetite statement updates with reality.
Pre-trade VaR
$1.42M
−12% vs. 30d avg
EVT tail (1-in-50y)
$8.7M
within appetite
Reputational δ
−4 bps
brand sentiment
Stop-loss buffer
82%
$205k remaining
Loss distribution
Capabilities
Every number a CRO actually wants.
Stop arguing about whether the AI is 'high risk'. Start arguing about the size of the bet.
Monte-Carlo VaR per decision
1, 24, 96-hour Value-at-Risk computed inline at decision-time. 99.5% and 99.97% confidence envelopes.
EVT tail-risk modelling
Extreme Value Theory captures the once-a-decade scenarios your standard distributions silently ignore.
Dollarized stop-loss limits
Set hard, soft, and dynamic stop-loss thresholds in dollars, basis points, or operational SLAs.
Reputational scoring
A trained Bayesian network estimates reputational fallout - measured in NPS deltas and brand-sentiment basis points.
Live exposure dashboards
Roll up by business unit, agent, model, counterparty, or geography. Slice with sub-second latency.
ERM model bridge
Out-of-the-box adapters for COSO ERM, ISO 31000, RiskLens, and your in-house economic capital model.
Risk appetite as a contract
Translate the board's qualitative appetite statement into hard caps an algorithm cannot violate.
Pre-trade & pre-action checks
Every autonomous action passes a real-time consequence check before it touches the world.
Ready when you are
Show the CFO a number, not a feeling.
We're building Hootleash in private design partnership with a small number of regulated enterprises. If you run autonomous AI in production, get in touch.
Pre-launch · design partner program open · early access 2026