CaNeTA - Causal Intelligence
Your risk data already holds the answers.
CaNeTA reveals them.
If your Risk Register is a list of roads, CaNeTA is your map and GPS...
...showing you which roads lead where, where the traffic is heaviest, and which intersections cause the most crashes.
THE ANALOGY
You have the roads. CaNeTA gives you the map, the GPS, and the traffic report.
Every organisation has risk data — registers, bow-ties, FMEAs, event records, audit findings, work orders, compliance logs. But these tools were built to describe risks one at a time. None of them show you the system connecting them.
Think of it this way: your risk register is a list of roads. Each road is real. Each one matters. But a list of roads doesn't tell you which roads connect, where the traffic converges, or which intersection causes the most crashes.
CaNeTA builds the map your risk register was never designed to provide. It transforms isolated risk documents into a connected causal network — revealing how risks propagate, where they concentrate, and which controls carry the most structural weight.
A list of roads
WITHOUT CANETA
Risk registers, bow-ties, and FMEAs that describe risks in isolation. Each row is managed independently. Causal chains stay invisible. You close items while leaving the system intact.
A map and GPS
WITH CANETA
A connected causal network that shows which roads lead where, where the traffic is heaviest, and which intersections need intervention first — directing resources where they have the most impact.
THE PROBLEM
The problem isn't effort. It's the framework.
Every major risk tool was built to assess risks one at a time. None of them show you the system connecting them.
Your risks don't work alone — they're connected
A single initiating event can simultaneously activate multiple downstream risks. Managing risks as rows means closing items while leaving causal chains intact.
CaNeTA Reveals
Every downstream chain a single event can activate — and the single intervention point that breaks the most pathways.
Your biggest risk pathways are hidden between your data sets
Different teams run different analyses — bow-ties, FMEAs, project risk assessments, compliance reviews. Developed in separate rooms, owned by separate functions, rarely integrated. The causal pathways running between them stay invisible.
CaNeTA Reveals
When bow-tie and FMEA data were integrated in one case, root causes linked to multiple fatalities tripled — from 5 to 18 visible only when both analyses were connected.
You're verifying the easy controls, not the right ones
Verification effort flows to controls that are easiest to access or most recently in the spotlight — not those structurally holding the network together.
CaNeTA Reveals
Junction points where a single control failure simultaneously opens multiple consequence routes — often not the ones with the highest risk score.
Are you failing safely — or failing lucky?
Events closed as 'controls worked' accumulate latent risk while metrics look healthy. The next time conditions unfold, they may not be as forgiving.
CaNeTA Reveals
Events with many upstream causes feeding in from multiple directions — where a single barrier will never be sufficient, distinguishing genuine control performance from fortunate timing.
The same event will happen again — unless you find the structural root cause
Investigations find the proximate cause. The structural conditions behind it remain unchanged — and the event recurs with the same causal logic, at a different location or in a different domain.
CaNeTA Reveals
Which root causes have the highest downstream influence — the upstream conditions sitting atop the most causal chains, regardless of whether they were obvious.
Your risk matrix score ≠ causal influence
A likelihood × consequence matrix tells you how bad something might be — not how many other risks that event can trigger or which single point of failure sits at the centre.
CaNeTA Reveals
In a network of 473 risk events, treating just 76 — selected by causal position — was as effective as attempting to control the entire network.
CAUSAL INTELLIGENCE INSIGHTS
Not just what your risks are.
How they behave, and where to intervene
CaNeTA generates insights grounded in network science — quantified, reproducible, and directly actionable.
Risk Propagation Pathways
Trace how one risk causes the next. See every downstream chain a single event can activate and identify the single intervention point that breaks the most pathways.
Cross-Domain Causal Links
See which risk events in one domain can be triggered by events in another — safety, maintenance, operations, compliance, project delivery — pathways that siloed analysis would never surface.
Structural Control Importance
Identify junction points where a single control failure simultaneously opens multiple consequence routes — often not those with the highest risk score.
Fail-Safe vs Fail-Lucky
Determine whether your near misses and close calls represent genuine control performance or fortunate timing — before the next event tests whether your luck holds.
Root Cause Influence
Find the upstream condition sitting at the top of the most causal chains — the systemic factors like training, scheduling pressure, and inspection rigour.
Prioritisation by Causal Impact
Rank by network impact, not matrix score. Focus on the 76 out of 473 risk events that, selected by causal position, control the entire network.
IN PRACTICE
Three focus points.
Each answers a different questions
CaNeTA operates through Planning, Learning, and Live - each defined by a different questions, data set, and purpose.
PLANNING
Are your planned controls positioned on the pathways that lead to serious consequences?
When: At any planning horizon
Data: Risk registers, bow-ties, FMEAs, design documentation, legislation, contract conditions, control performance standards, project risk assessments.
A structurally validated risk framework — gaps found before an event can confirm them.
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Missing controls — location identified via three-node subgraph analysis
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Critical risk bow-ties connected into a single causal network
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Prevention vs. mitigation control balance measured
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Legislative & contractual traceability checked
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Cross-domain risk integration visible (e.g. schedule, operational, compliance)
LEARNING
Would your planned controls have prevented — or limited — what has already gone wrong?
When: Drawing on operational history
Data: Event records, near-misses, audit findings, control verifications, investigation outputs, regulatory notices, inspection records, work orders.
Your operational history converted from a compliance record into a structural asset.
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Verification schedule rebuilt around causal evidence, not convention
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Controls that fail often AND sit on multiple pathways identified
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Planned vs. experienced risk gap measured
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Fail-safe vs. fail-lucky outcomes distinguished across events and near misses
LIVE
Are patterns emerging in live data that signal a control is failing — before a serious event?
When: As operations generate data
Data: New event records, permit logs, control checks, scope changes, schedule progress, work orders, SCADA/sensor data.
Emerging risk visible before it crystallises into a serious event — not after.
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Emerging risk pathway detection — pathways heating up before a serious event
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Degrading control identification — flagged before formal failure
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Schedule & scope intersection with high-risk pathways
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Pre-event compliance trajectory matching across comparable operations
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Cyclical deterioration detection — consequences feeding back into causes
DELIVERY OPTIONS
Self-serve intelligence, integrated reporting
CaNeTA insights are delivered through the channels your teams already use.
Power BI Dashboard
Interactive causal network map. Topology metrics ranked by impact — betweenness, eigenvector, strength.
Control effectiveness scores. Planned vs. experienced gap view. Drill-down subgraph analysis. Live refresh.
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Ask CaNeTA - AI Chat
Natural language queries against your causal network. Ask questions in plain English —
"What are the top 5 root causes driving our highest-consequence risks?" — and get evidence-based answers from your own data.
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Integrated Reporting
Detailed analysis reports, data feeds, and custom dashboards.
Integration with your existing reporting systems. Structured for board, executive, and site-level audiences.
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OUR METHODOLOGY
Our proven methodology, rooted in comprehensive data gathering, transformation, integration and organisation, converts disparate information into actionable insights. The goal is to help your organisation have a more resilient safety culture, higher operational efficiency, and improved compliance - all built upon a foundation of continuous learning and improvement.
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In this first step, we begin by harnessing all the relevant data and information needed for the risk analysis.
ACTIVITIES CARRIED OUT:
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Engage stakeholders
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Review risk register/s
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Identify event data sources
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Prepare data formats
OUTCOMES:
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Comprehensive dataset including risk and event data
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List of stakeholder requirements
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