Risk Intelligence Platform · Ad Astra Human Performance
From Lifeboat
to Lighthouse.
to Lighthouse.
Transform your insurance portfolio from one that carries unknown risks to one that prevents them from ever becoming claims — with massive profit and market share opportunities for those who lead.
Your safety culture has a measurable value. CHRIS™ converts your incident reporting into a behavioural risk score that your insurer can use to offer better terms — rewarding the investment you've already made in safety.
The Lifeboat
Carries unknown, unquantified risks. Reacts to losses after they occur. Prices on historical claims that are as much a product of luck as genuine risk management. Cannot see the disaster until it arrives.
→
The Lighthouse
Sees the hazards before they become losses. Prices on actual current behaviour. Identifies which clients are close to the disaster boundary — and which are genuinely safe. Prevents claims rather than paying them.
Claims History Alone
Your premium is set by what went wrong in the past — not by what you're doing right today. A clean record gets the same rate whether it reflects genuine safety or good luck. Your investment in safety culture is invisible.
→
Behavioural Evidence
CHRIS™ scores your actual safety performance from your incident reports. Strong detection, good decisions, embedded learning — all measured and visible to your insurer. Better behaviour, better terms.
CHRIS™
Continuous Human-factors Risk Intelligence System
The engine that converts raw incident narratives into a single, continuously updated risk score (0–100). CHRIS™ tells you exactly how far a client sits from their next major loss — from current behaviour, not historical claims. For the insurer, it means pricing based on reality. For the client, it means a direct, measurable link between safety culture investment and insurance terms.
RADAR™
Risk Analysis, Detection, Assessment & Reporting
The five-dimension behavioural framework inside CHRIS™. RADAR™ scores the quality of human performance across Recognise, Analyse, Decide, Anticipate, and Reinforce — the sequence of actions (or failures) that determines whether a weak signal becomes a prevented incident or an unfolding disaster. Each dimension scored 1 (reactive) to 5 (anticipatory).
"The insurer who sees risk clearly — before the market does — wins better clients, writes at stronger margins, suffers fewer claims, and grows market share from a position of genuine competitive advantage."
"The organisation that can prove its safety culture is working — with auditable, scored evidence — earns better insurance terms, lower premiums, and a direct commercial return on every pound invested in safety."
58×
Safer — aviation's weak signal revolution
40
Years Ad Astra SMS expertise
6
Industry sectors with live benchmarks
Trusted By
Starr Insurance
Insurance · Underwriting
Metropolitan Police
Law Enforcement · Public Safety
AWS Shipping
Maritime · Cargo
PNTL Shipping
Maritime · Nuclear Transport
Multiple School Trusts
Education · Duty of Care
Professional Golf
Elite Sport · Performance
Professional Football
Elite Sport · Performance
Partial client list · additional references available under NDA
How It Works
01
Client SMS generates incident narratives
Anonymised reports from the client's Safety Management System — near-misses, anomalies, procedural deviations — feed CHRIS™. Not claims history alone.
02
CHRIS™ scores the behaviour
Each narrative scored 0–100 across five RADAR™ dimensions: signal detection, diagnosis, decision quality, anticipation, and organisational learning.
03
Disaster boundary located
The score places the organisation on the resilience spectrum — revealing how far they sit from their next major loss, in real time, from current behaviour.
04
Risk priced with precision
The gap between claims-history pricing and CHRIS™-adjusted pricing reveals under- or over-priced risk invisible to conventional underwriting.
Aviation
Maritime
Rail
Energy
Healthcare
Construction
Incident NarrativeSECTOR: AVIATION
CHRIS™ Index
—/100
Awaiting input
RADAR™ Score
—/5.0
Higher = stronger behaviour
vs Benchmark
—
Selected sector
Risk Loading
—
vs claims-only premium
CHRIS™ Risk Gauge · 0 = Minimal · 100 = Critical
0 · Minimal255075100 · Critical
—
RADAR™ Dimensional Breakdown · 1 (reactive) → 5 (anticipatory)
Behavioural Evidence · Audit-Ready
Demo Engine
⚡ AI Cross-Check · Independent Verification
Sends narrative to Claude for independent RADAR™ scoring
| Dimension | Demo Engine | AI Score | Delta |
|---|
CHRIS™
Recognise
Analyse
Decide
Anticipate
Reinforce
The Case for CHRIS™ — Risk Reality vs Claims History
Claims-Only Premium
3.2%
Based on 5-year loss history. No claims in 24 months. Appears low-risk. Standard market rate.
⚠ Misses operational drift
CHRIS™-Adjusted
—
Based on live incident behaviour scored across 24 months. Reveals actual organisational performance.
↻ Real-time intelligence
Sector Benchmark
32/100
Aviation sector average CHRIS™ score. Clients below benchmark qualify for preferred terms.
≡ Peer median
Incident Position — Where This Score Sits
—
62
24m Average
44
24m Best
82
24m Worst
—
Percentile
Lowest riskHighest risk
CHRIS™ Score Trend · 12-Month Rolling View
Click operators or sectors below to overlay their trend lines for comparison. Each point represents a monthly composite CHRIS™ index.
Compare:
Sector Comparison · Benchmark Positioning
This client's current CHRIS™ score against sector median benchmarks. Lower is better — below the benchmark line qualifies for preferred terms.
Within Sector · Peer Percentile
Across Sectors · Benchmark Map
The Weak Signal Doctrine
Small things today. Catastrophes tomorrow. Or not.
A weak signal is a small, low-consequence incident, near-miss, or anomaly that carries within it the causal structure of a much larger future failure. It is not merely a minor problem — it is a window into the system's current state of resilience, and a diagnostic indicator of how far the organisation sits from its next major loss.
Fundamental Principle
Weak signals, learned from, prevent disasters. Weak signals, ignored, permit them. The difference between an organisation that suffers a major loss and one that does not is rarely the absence of hazard — it is the presence or absence of a culture that notices, reports, analyses, and learns from the small things before they become large ones.
The Aviation Revolution
How a dangerous industry engineered itself into the safest on Earth.
58×
Safer on a per-flight basis than in the 1970s. Not through better engineering alone — through the systematic management of weak signals via mandatory and voluntary safety reporting. The safest airlines report the most incidents. High reporting rates signal a healthy culture, not a dangerous one. Low reporting rates are a warning sign — not a measure of safety.
The Disaster Boundary
Where does your client sit on the risk spectrum? Right now.
Every organisation exists in dynamic tension between normal operations and catastrophic failure. CHRIS™ locates exactly where — from current behaviour, not from historical records that are as much a product of luck as genuine risk management.
0 – 25
Strong signal detection · rigorous analysis · proactive anticipation · embedded learning
Far · Resilient
26 – 50
Specific RADAR™ weaknesses. Targeted intervention narrows gap and improves terms.
Moderate
51 – 75
Multiple RADAR™ dimensions compromised. Significant behavioural risk loading warranted.
Elevated
76 – 100
Signals missed · diagnosis flawed · decisions hesitant · no learning embedded
Critical
The Claims History Illusion
An organisation with a poor safety culture and a clean claims record is not a low-risk client. It is a client whose luck has not yet run out. CHRIS™ distinguishes the genuinely safe from the temporarily fortunate — before the claim arrives.
The RADAR™ Framework
Five dimensions. One picture. The complete behavioural profile.
Five dimensions drawn from Human Factors science, crew resource management research, and safety culture theory. They map directly onto the sequence of human actions — or failures — that characterise serious incidents across every safety-critical industry.
Recognise
Did they see the signal? How early? How clearly?
Analyse
Was the signal correctly interpreted, or distorted by bias?
Decide
Was the right action taken in time, under pressure?
Anticipate
Did they project forward — what happens next if we don't act?
Reinforce
Was the lesson embedded into the system, or lost at shift handover?