See how disruption can spread—and where action can make a differenceHow DominoRisk works
Scientific and modelling services

Build a risk system around the decisions unique to your business

Connect your exposure data to DominoRisk monitoring, dependency models, global simulation, and Qingniao AI interpretation around a defined operational question.

Value to you

From global disruption to your decision

01

See what can reach your business

Match external events to the assets, suppliers, routes, markets, and portfolios that matter to your organisation.

02

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.

03

Know what to watch and where to act

Turn evidence and scenarios into clear trigger indicators, priorities, and decision options.

Delivery approach

A clear path from scoping to decision support

01

Define the decision

Clarify the operational question, users, constraints, and success criteria.

02

Build the evidence base

Connect data, domain knowledge, assumptions, and governance.

03

Model the system

Develop network structure, scenarios, uncertainty, and validation.

04

Embed the outcome

Deliver usable views, reports, workflows, training, and handover.

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?
Core capabilities

The capabilities behind a decision-ready risk view

01

Live risk data

Connect global events, environmental signals, operations, and authorised organisation data with clear provenance.

02

Dependency intelligence

See relationships across assets, suppliers, infrastructure, places, commodities, and economic systems.

03

Global scenario modelling

Compare baseline, shock, recovery, adaptation, and mitigation scenarios with uncertainty kept visible.

04

Qingniao AI interpretation

Translate complex evidence and model outputs into role-specific briefs, watchlists, and follow-up questions.

05

Enterprise integration

Support APIs, data connectors, exports, identity, and the workflows teams already use.

06

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
Related insights

Continue exploring

View all
Research framework

How cascading risk changes the unit of analysis

An upcoming framework for examining connected exposure, propagation, and intervention.

Read more
Decision practice

From isolated alerts to connected decisions

A forthcoming practice note on turning signals into decision-ready context.

Read more
Executive briefing

Mapping dependencies before the next disruption

An upcoming briefing on how dependency mapping supports resilience planning.

Read more
DominoRisk

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.

Request a demoDiscuss your risk question