Independent Audits

for Healthcare AI

Automated audits miss what humans find. We pressure-test healthcare AI with real-world scenarios so you can avoid failures and fix what’s broken before it matters.

Amplifying Inequity:

How General Purpose LLMs Fail Multi-Turn Health Conversations

See how Claude, Gemini, and ChatGPT perform in a realistic patient conversation, evaluating model responses in communication quality, clinical accuracy, and health literacy.

Read the executive summary

Responsible AI Starts with Real-World Testing

Generative AI is reshaping healthcare, but unsafe outputs and hidden bias threaten patient trust. Automated audits can’t replicate how clinicians and patients use these systems in practice.

How we deliver safer AI

We provide human-driven stress testing designed specifically for generative AI in healthcare.

Clinical Safety Probing → Safer Outputs

We test generative AI for unsafe recommendations, misuse, and hallucinations so your systems are safer in real-world care

Bias & Fairness Testing → Fairer AI Decisions

We run diverse scenarios across demographics, languages, and comorbidities to expose disparities and guide improvements.

Oversight Simulation → Stronger Human Oversight

We model how clinicians interact with AI under pressure to ensure they can detect, correct, and act on mistakes quickly.

Patient Comprehension Checks → Clearer Patient Communication

We put AI outputs in front of real-world scenarios to confirm they are understandable, reliable, and supportive for patients with different literacy needs.

Risk Analysis & Reporting → Actionable Risk Reports

We deliver clear, evidence-based findings that highlight risks, prioritize fixes, and support safer deployment.

Our Process

  • Scope

    We define the system, workflows, and risk areas to set the focus.

  • Stress Test

    We run 50+ test scenarios to expose risks in real clinical contexts.

  • Advise

    We share findings with recommendations for prompt and workflow improvements to ensure safer AI use.

Who we serve

  1. Hospitals & Clinics: Testing generative AI used in triage, clinical notes, or discharge instructions

  2. Digital Health Startups: De-risking patient-facing chatbots and apps before launch

  3. Pharma & Medtech: Assessing generative AI in research, documentation, and clinical workflows

Why work with us

Specialized in Healthcare AI
We focus exclusively on generative AI in healthcare, where safety and trust matter most.

Clinician Expertise
Our testing methods are informed by real-world clinical experience. We work with clinicians to design scenarios that reflect how AI is actually used in practice, from triage to discharge notes.

Human Stress Testing, Not Just Automation
Automated audits catch surface issues. We uncover the risks that only emerge when humans (clinicians and patients) interact with AI under pressure.

Proven, Repeatable Methods
Our structured test libraries simulate real-world conditions and deliver evidence you can act on immediately.

Meet the Team

Our team brings together deep expertise in AI product design and clinical practice, united by a commitment to safer, patient-centric healthcare AI.

  • Jocelyn Early is a clinician with over a decade of experience caring for patients in high-stakes settings, from internal medicine to cardiovascular ICU and thoracic surgery. She has seen firsthand how trust, clarity, and safety shape every clinical decision, and how technology must support, not compromise, those values.

    With her MBA from Porto Business School, she bridges frontline clinical expertise with strategic leadership leading Clinician & Patient Experience, ensuring that AI Audits reflect the realities of patient care and deliver outcomes that clinicians can rely on and patients can trust.

  • Nicolle is an AI UX expert with seven years of experience building AI products in high-risk industries like finance, HR, and DevSecOps. She specializes in designing systems that put users first, ensuring that technology is not only powerful but also practical, safe, and trustworthy.

    Her leadership spans user-centric design, red teaming, and risk-focused product development, giving her a deep understanding of how AI behaves under real-world conditions.

    Nicolle leads AI/UX Experience, applying this expertise to stress testing generative AI so that products meet the highest standards of usability, safety, and human-centered design.

Make your healthcare AI safe, trusted, and ready for the real world.

Book a discovery call so we can learn more about your healthcare AI solutions.