See what can reach your business
Match external events to the assets, suppliers, routes, markets, and portfolios that matter to your organisation.
Observe
Detect signals before they become disruption
Bring event, environmental, operational, and proprietary data into a continuously updated view of emerging risk.
RISK NETWORKSignal intelligence
Starting pointDisruption beginsEvidence connected
Knock-on effectsOperations affectedPath to watch
ResponseImpact reduced
Value to you
From global disruption to your decision
Understand how and when impact may arrive
See what may happen first, what could follow, and when—from the next day to the next three months.
Know what to watch and where to act
Turn evidence and scenarios into clear trigger indicators, priorities, and decision options.
Where it helps
Show the risk pathway, not just the alert
A useful scenario shows what happened, which parts of the business depend on it, how the effects could spread, what the consequences may be, and which actions could change the outcome.
- What could be affected?
- How could impact spread?
- Where can action change the outcome?
RISK NETWORKSignal intelligence
Starting pointDisruption beginsEvidence connected
Knock-on effectsOperations affectedPath to watch
ResponseImpact reduced
How DominoRisk works
From signal to decision
Monitor
Maintain a live view of material global events and changing evidence.
Connect
Link each event to your assets, suppliers, infrastructure, routes, and markets.
Simulate
Explore plausible impact, recovery, and intervention scenarios.
Explain
Use Qingniao AI to deliver clear implications, triggers, and decision options.
Core capabilities
The capabilities behind a decision-ready risk view
Live risk data
Connect global events, environmental signals, operations, and authorised organisation data with clear provenance.
Dependency intelligence
See relationships across assets, suppliers, infrastructure, places, commodities, and economic systems.
Global scenario modelling
Compare baseline, shock, recovery, adaptation, and mitigation scenarios with uncertainty kept visible.
Qingniao AI interpretation
Translate complex evidence and model outputs into role-specific briefs, watchlists, and follow-up questions.
Enterprise integration
Support APIs, data connectors, exports, identity, and the workflows teams already use.
Governance and auditability
Keep model purpose, evidence, assumptions, limitations, human oversight, and decisions traceable.
Evidence and outcomes
Build evidence into every risk decision
The framework keeps data provenance, model validation, uncertainty, research, and decision outcomes visible as evidence is verified and published.
01Data coverage and provenance
02Model validation and uncertainty
03Decision outcomes and learning
FAQ
What you need to know
These answers describe the current operating principles. Product-specific sources, controls, integrations, and documentation will be published as they are confirmed.
What data does DominoRisk use?+
DominoRisk is designed to combine organisation-authorised data with appropriately licensed public and commercial sources. Sources, refresh cadence, provenance, permissions, and permitted uses will be documented for each deployment.
How are cascade models validated?+
Validation is proportionate to the decision context. Documentation will identify assumptions, uncertainty, data limitations, applicable back-testing or sensitivity analysis, expert review, and the conditions under which a model should not be used.
How does DominoRisk fit existing workflows?+
Implementation begins with the decision, users, data permissions, and required outputs. Available integrations and export formats will be documented as they are released rather than implied in advance.
How is sensitive data protected?+
Sensitive or confidential information should not be submitted through the public website. Production security and privacy controls will be documented in the Trust Centre before they are relied upon for protected data.
Related insights
View allContinue exploring
How cascading risk changes the unit of analysis
An upcoming framework for examining connected exposure, propagation, and intervention.
Read moreFrom isolated alerts to connected decisions
A forthcoming practice note on turning signals into decision-ready context.
Read moreMapping dependencies before the next disruption
An upcoming briefing on how dependency mapping supports resilience planning.
Read moreDominoRisk
Start with the business risk question that matters most
We can shape a focused deployment around your exposure data, operating decisions, and the time horizons your team manages.