Who We Serve

Industries

AISAFE is structured to support organisations operating across multiple jurisdictions and sectors — wherever AI is making decisions that affect people.

Banking & Insurance

Credit scoring, fraud detection & claims automation

Healthcare

Diagnostic AI, clinical decision support & medical devices

Automotive

Autonomous vehicles, driver assistance & collision risk

Consumer Devices

Phones, wearables, smart appliances & home assistants

Utilities, Energy & Telecom

Smart grids, predictive maintenance & critical infrastructure

HR & Recruitment

AI hiring, candidate screening & fairness in employment

Drones

Autonomous delivery, surveillance & airspace safety

Humanoid Robots

Physical interaction, embodied AI & human safety

AISAFE Human Impact & Risk Rating Framework

Fundamental Principle: Risk is determined by several dimensions:

DimensionWeight
Human Safety RiskCritical
Human Rights RiskCritical
Economic / Job Displacement RiskHigh
Cybersecurity RiskHigh
Autonomy LevelCritical

Every AI product receives a score. The score determines AISAFE Level 0–4.

Example of Risk Score Details

CategoryMaximumAchievedResidual Risk
Human Safety1804022%
Cyber Security801823%
Governance701217%
Privacy602033%
Workforce Impact503060%
Transparency40820%

AISAFE Value Table

Before AISAFEAfter AISAFE
❌ Unknown AI risks✅ Clear AI Risk Maturity Score
❌ Employees sharing sensitive data✅ Better AI governance practices
❌ Compliance uncertainty✅ Identified compliance gaps
❌ Potential customer distrust✅ Greater confidence and transparency
❌ Difficult insurer conversations✅ Structured risk evidence for discussions
❌ No visibility into AI use✅ Actionable improvement roadmap

AISAFE Level by Residual Risk

Residual Risk %AISAFE LevelMeaning
0–10%AISAFE 0Minimal residual risk
>10–25%AISAFE 1Low residual risk
>25–45%AISAFE 2Managed residual risk
>45–70%AISAFE 3High residual risk requiring specialist governance
>70%AISAFE 4Critical residual risk requiring continuous oversight
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