Applied AI Solutions
Practical AI systems for pharma, healthcare & medcomms
I build focused AI tools and workflows for medical communications, compliance, and patient content. Practical systems, careful boundaries, and real-world use cases — plus advisory for teams putting AI in front of patients.
I'm the founder of PharmaTools.AI and creator of tools including MedCheckr, RefCheckr, Patiently AI, and the Medical Writing AI Playbook. I also build and open-source the evaluation infrastructure behind them — including OpenGATE, a framework that verifies whether an AI system can prove its answers from its sources. My work sits between medical communications, applied AI, and product development, with a focus on building tools that solve real workflow problems.
I’m not a traditional AI consultant. I work best when there is a concrete problem to solve, whether that is reference checking, compliance review, literature workflows, or clearer patient communication. Sometimes that starts with a conversation, but the goal is usually to design, prototype, and build something useful.
Focus Areas
What I build
Medical Writing Workflows
AI tools that support literature review, reference verification, drafting, content checking, and other high-friction medcomms tasks.
Compliance-Aware Systems
AI workflows designed for regulated environments, including claim checking, document review, and explainable outputs aligned with pharma codes.
Patient Communication Tools
Applied AI systems that make complex medical language clearer for patients while respecting clinical and regulatory boundaries.
Internal AI Prototypes
Early-stage tools, copilots, and workflow experiments that help teams test real use cases before committing to larger builds.
Process
How collaborations usually start
Identify the workflow problem
We look at the bottleneck, friction point, or repetitive task that is slowing your team down.
Prototype a focused solution
I design a lightweight proof of concept around the use case rather than starting with a vague AI strategy exercise.
Test with real content
We refine the outputs, guardrails, and UX using the kind of material your team actually works with.
Integrate or expand
If the prototype works, it can evolve into an internal tool, API integration, or client-facing product.
Capabilities
What I offer
AI Evaluation & Verification
Deterministic, source-grounded evaluation for AI that can't afford to be wrong: gold sets, scorers, and CI gates that measure whether a system can prove its answers — not just whether they sound plausible. The same open-source approach (OpenGATE) that gates every product I ship.
Custom AI Tool Prototypes
Focused proof-of-concept builds for teams exploring a specific workflow challenge in pharma, medtech, or healthcare communication.
Workflow Automation
Practical AI-assisted systems for repetitive or time-consuming tasks such as reference checking, literature search, content triage, or medical review support.
Compliance-Aware AI Design
Systems built with regulated use cases in mind, including explainability, auditability, and careful handling of high-risk outputs.
RAG and Knowledge Workflows
Retrieval-based systems that work from trusted source material rather than open-ended prompting alone.
API and Product Integration
Embedding AI capabilities into existing platforms, internal tools, or digital products through lightweight integrations and applied product thinking.
Patient-Facing AI Advisory
Advice grounded in having built and registered a patient-facing AI product myself: safety guardrails, regulatory routes, privacy architecture, and health-literacy design for AI that patients use directly.
Advisory
I advise on patient-facing AI
Patient-facing AI is where the stakes are highest: clinical safety, regulation, privacy, and language people actually understand. I advise on it because I've shipped it. Patiently AI, my free tool that translates medical notes into plain language, is an MHRA-registered medical device used in over 100 countries, with on-device de-identification and a peer-reviewed validation study published in Frontiers in Digital Health.
If your team is building or buying AI that patients will touch — results explainers, discharge summaries, symptom content, multilingual patient materials — I can help you get the safety case, regulatory route, and patient experience right before mistakes become expensive.
- MHRA-registered Medical device registration, taken end to end
- 100+ countries Real-world patient use at global scale
- Peer-reviewed validation Published in Frontiers in Digital Health, 2026
- Award-winning Communiqué, PMEA, HTN AI & Data, Best Mobile App Awards
Collaboration
Who I work with
I work with pharma teams, agencies, healthtech companies, and startups that need more than general AI advice. Most collaborations involve a real workflow problem, a specific use case, and a need for something practical that can be tested quickly.
FAQ
Common questions
Do you do AI workshops or training?
Occasionally, but that is not the main focus of my work. I am usually a better fit for teams that want to design, prototype, or build a specific AI solution.
Can you help us explore an idea before building?
Yes. Many projects start with a short conversation to define the workflow problem and decide whether a prototype makes sense.
Do you advise on patient-facing AI?
Yes. I built Patiently AI, an MHRA-registered medical device used in 100+ countries, and advise teams on the parts that are hard to get right: clinical safety, regulatory positioning, privacy, and plain-language patient experience.
Do you work internationally?
Yes. I work remotely with teams across the UK, Europe, and beyond.
What kinds of projects are the best fit?
The strongest fit is where medical content, regulation, and AI overlap, especially in medical writing, compliance, literature workflows, and patient communication.
§Background
Nick Lamb, PhD, CMPP is the founder of PharmaTools.AI and Medcopywriter Ltd, with 20+ years of experience in medical communications and a track record of building applied AI tools for regulated healthcare.
Alongside consulting, I'm open to the right full-time role in applied AI (evaluation, forward-deployed or applied AI engineering) based in London, Oxford or UK-remote: nick@pharmatools.ai.
Have a workflow problem in mind?
If you’re exploring a specific AI use case in medical communications, compliance, or patient content, feel free to get in touch. The best conversations usually start with a real problem rather than a general discussion about AI.
Discuss a Project