Clinical AI Safety Audits
For developers and founders building AI in mental health, therapy, and high-stakes clinical contexts.
The Problem
AI behaves differently in extended conversations than it does in testing. It drifts. It forms opinions. It ventures outside its defined scope. In a mental health app, that's not a UX problem — it's a safety risk.
Before your users find out the hard way, you need an independent evaluation from someone who understands both the technology and the clinical stakes.
What We Do
We conduct structured behavioral safety audits for conversational AI systems operating in mental health and clinical contexts — evaluated against six recognized clinical and AI governance frameworks including the APA App Evaluation Model, VERA-MH, IEEE 7010-2020, and AHRQ Technical Brief No. 41.
This is not generic software testing. It is clinical AI safety evaluation — scenario-based, framework-driven, and documented for regulatory or investor review.
What You Get
- Written AI Safety Evaluation Report with scored findings
- Executive summary suitable for regulatory or investor review
- HIGH RISK findings requiring immediate action
- Analysis of AI drift, hallucination, and boundary violations
- Prioritized remediation roadmap — architectural, prompt-level, and guardrail recommendations
- PIPEDA-aligned privacy and data governance observations
- Optional debrief call to walk through findings
Who This Is For
- Digital health founders building AI-assisted therapy or wellness tools
- Developers integrating LLMs into clinical or therapeutic contexts
- Apps with crisis detection pathways, therapist notification systems, or intervention suggestion features
- Teams preparing for launch, fundraising, or regulatory review
Clinical AI Safety Audit
Independent evaluation for mental health AI systems.
$2,500+
starting at (CAD)
What's Included
- Written AI Safety Evaluation Report with scored findings
- Executive summary suitable for regulatory or investor review
- HIGH RISK findings requiring immediate action
- Analysis of AI drift, hallucination, and boundary violations
- Prioritized remediation roadmap — architectural, prompt-level, and guardrail recommendations
- PIPEDA-aligned privacy and data governance observations
- Optional debrief call to walk through findings
Scope and pricing vary based on the number of AI features, application complexity, and deliverable requirements.
Request a Scoping CallWhy Lifesaver
Lifesaver Technology Services is an AI-native software practice with a focus on safe, production-grade AI systems. We participate in industry initiatives on the safe deployment of conversational AI and apply structured, framework-driven evaluation to mental health and clinical contexts.
Our evaluation methodology was developed specifically for mental health AI applications and draws on six peer-reviewed clinical and technical frameworks.
This service assesses behavioral compliance with clinical AI safety best practices. It does not constitute legal opinion or formal PIPEDA certification.