I help small businesses use AI safely and confidently — bringing structure to tools that are often already in use, but not yet fully understood.
Built on experience in clinical research, data governance, and regulated environments.
Free 20 minute introductory call
I'm experienced working in regulated environments where technology, data, and accountability intersect.
My background in biomolecular science and project delivery has shaped the analytical approach I bring to new technologies like AI..
I focus on understanding how tools interact with data, workflows, and real-world business processes.
I created the CLEAR Framework to help small businesses introduce AI in a way that is structured, practical, and proportionate.
Before focusing on responsible AI adoption, I spent several years managing complex projects in clinical research and other regulated environments.
I also have experience supporting the evaluation and rollout of AI tools in a professional workplace, including helping teams understand how tools such as Microsoft Copilot can be used responsibly and effectively.
That experience reinforced something important: successful AI adoption is rarely just about the technology itself. It is about understanding workflows, data, accountability, and the expectations around how tools should be used.
The same structured approach now shapes how I help small businesses introduce AI with practical guardrails, clear workflows, and proportionate governance.
See how this applies to your business →Practical support for small businesses using AI — with clear guardrails, simple policies, and confidence in how it works.
Start with a structured assessment. Build from there if needed.
Most teams in biotech, medtech, and clinical environments are already using AI — for literature summaries, drafting protocols, internal analysis. It works day-to-day.
The challenge isn't whether it works. It's whether you could walk someone through a decision step by step if you needed to.
If someone asked how AI influenced your decisions — could you show them?
I work with small regulated teams to map where AI is actually being used, identify where decisions would be difficult to explain, define who owns what, and put simple guardrails in place. Not heavy governance — just clarity.
Practical guidance, clear guardrails, and honest advice — so you can move forward with confidence..
Prefer email? Get in touch — Or message me on WhatsApp
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