Functional safety · SOTIF · Safe AI

Three standards.One safety argument.

We bridge ISO 26262, ISO 21448 (SOTIF) and ISO/PAS 8800 into a single, traceable safety case — so your automated driving function is not only engineered safely, but demonstrably approvable.

The problem

Compliance in silos leaves gaps.
Accidents live in those gaps.

Each of the three standards is complete on its own terms — and blind outside them. Treat them as three separate audits and you will pass all three while the residual risk sits in the seams between them.

The system fails

A resistor drifts, a bit flips in RAM, a task overruns its deadline. Classic malfunctioning behaviour of an E/E system — random hardware faults and systematic faults in hardware and software.

Covered by ISO 26262

The system doesn't fail — it just isn't good enough

Every component works exactly as specified, and the vehicle still behaves unsafely: low sun blinds the camera, radar loses a stationary object, the specification never anticipated the scenario. Functional insufficiency, not fault.

Covered by ISO 21448

The system learned the wrong thing

The insufficiency is not in the code — it is in the data and the model. Distributional shift, an unrepresentative training set, brittle generalisation, and a decision boundary nobody can inspect line by line.

Covered by ISO/PAS 8800

The seam is the risk. A perception stack can meet every ASIL D hardware architectural metric and still fail to classify a stationary vehicle at closing speed. ISO 26262 records a pass. SOTIF records a hazard. ISO/PAS 8800 explains why the model was always going to miss it. Only an argument that spans all three can close the case.

What we do

We bridge three standards into one safety argument

One hazard. Three families of cause. One safety case that traces every hazard through every applicable framework to evidence — and states the residual risk in language an assessor and an approval authority will accept.

Vehicle-level hazard Identified once, in a single HARA — unwanted behaviour that can lead to harm
ISO 26262

Cause: malfunction

The item is faulted. Answered with ASIL classification, safety mechanisms, diagnostic coverage and hardware metrics.

ISO 21448 · SOTIF

Cause: insufficiency

The item is fault-free but not capable enough. Answered with triggering conditions, scenario coverage and acceptance criteria.

ISO/PAS 8800

Cause: the AI itself

The insufficiency originates in data, training or generalisation. Answered with an AI safety lifecycle and model-level evidence.

One integrated safety case Traceable to approval under AFGBV, UNECE R157/R155 and the EU AI Act

Engagement

How we work

Consulting that produces artefacts, not slideware. Every engagement ends with something you can hand to an assessor, a customer or the KBA.

Assess

Gap and readiness assessment against all applicable frameworks at once. You get a prioritised finding list mapped to clauses, not a generic maturity score.

Architect

Safety goals, decomposition and the allocation of requirements across functional safety, SOTIF and AI evidence — so the architecture carries the argument rather than fighting it.

Evidence

A V&V strategy that says what each test proves and what residual claim survives it: scenario catalogues, coverage rationale, dataset specifications, metrics and thresholds.

Argue

A structured safety case — goals, strategies, context, evidence — with a defensible residual risk statement, plus support through independent assessment and approval.

Regulatory readiness

The standards are the means. Approval is the end.

Standards conformance is necessary but not sufficient. We shape the technical evidence so it maps directly onto the regulatory instrument you actually have to satisfy.

AFGBV & StVG §1d–1l

Germany's autonomous vehicle approval and operation ordinance for SAE Level 4 in a defined operational area: technical supervision, risk-minimal state, data recording and the KBA dossier.

UNECE R157 & R171

Type approval for automated lane keeping and driver control assistance systems, including the audit and reporting scheme and the scenario catalogue expectations.

R155 / R156 & ISO 21434

Cybersecurity and software update management systems — the security case that a modern safety case can no longer be written without.

EU AI Act

Where safety-relevant AI meets horizontal AI regulation: risk management, data governance, logging, transparency and human oversight obligations.

Dr. Saim Simon Perveen
German English French

Business-level fluency

About

Dr. Saim Simon Perveen

Build your trustworthy system with me

safeautonomy is an independent consultancy for the safety of automated and AI-driven vehicle functions. We work with OEMs, Tier 1 suppliers and automated-driving developers at exactly the point where functional safety, SOTIF and machine learning stop being separate disciplines.

  • Safety concepts and safety cases for perception, planning and control functions
  • Independent review and assessment readiness before it costs you a release slot
  • Training and coaching that leaves your team able to run the process without us

Where we work

Based in Wolfsburg, working across the world

Headquartered in Wolfsburg — home to Volkswagen and a dense cluster of OEM and Tier 1 engineering teams — and working with clients well beyond it, on site wherever a programme needs us, not just reviewing documents from a distance.

Home base

Wolfsburg, Germany

Headquartered in Lower Saxony's automotive engineering hub.

Global reach

Worldwide

Remote-first engagements across the EU, North America and Asia.

Get in touch

Let's find out where your safety argument breaks

A 30-minute call is usually enough to tell whether your gap is in functional safety, in SOTIF, in the AI evidence — or in the traceability between them.

Phone / WhatsApp

+352 661 553 282

Based in

Wolfsburg, Germany — working worldwide