I am a Software Engineer specialising in the development and assurance of safety-critical, software-based systems across a diverse set of industries.
To be an effective System Safety Engineer, you need to master a diverse skillset. On the one hand, you need to hold enough domain knowledge to conduct effective risk analysis and assessments — often including in-depth specialist knowledge across a broad and diverse system that you have only ever read about. At the same time, you have to be a competent Systems Engineer and at all times be on top of the progressive verification of your Hazard Log. Finally, you have to be a master of the relics of the old world of technology: DOORS and spreadsheets.
This blend is difficult to master, particularly if you chop and change industries and project contexts, and anyone who has worked in a large team of safety engineers can see it. Using Hazard Logs as an example, who hasn’t seen:
- Risk assessments kept off DOORS (“because it’s easier”);
- Risk logs with controls in a perfect state in each report, but full of meaningless fluff controls that are not improving the System and have not addressed the safety ‘elephant in the room’;
- Risk assessments with a perfect set of controls that haven’t gone anywhere, because the Safety Engineer understood the System but didn’t understand Systems Engineering.
AI will never replace sound Engineering Judgement, but I founded SafeForge.AI because it is my belief that agentic tooling provides immediate benefit to all of these problems.
- Risk assessment and Hazard Log mechanics no longer need to be hard.
- Risk assessments can be supported by broad agentic literature review, and smart management of project reference documents.
- Properly designed tooling and agents can guide Engineers through the V lifecycle.
This is the SafeForge.AI tool in a nutshell.
The tool I have made for myself as a Safety Engineer — and I am its first customer.
April 2026
SafeForge’s AI can make mistakes. It is a supplement to the engineer’s decision, never a substitute for it, and the six principles of the SafeForge AI Dogma are what keep it that way: its findings inform judgement, they are never a legal or regulatory verdict, and every determination remains the duty-holder’s.
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