Who we are
AI Health Practice exists because independent healthcare practices are being sold AI without evidence, without fit analysis, and without anyone in their corner. We fix that.
Why this exists
Hospital groups and private equity-backed healthcare networks have AI strategy teams, budget for pilots, and relationships with the major vendors. They can afford to get it wrong and learn from it.
Independent practices — the physio clinic with four clinicians, the dental group across two sites, the psychology practice that does 40 appointments a week — have none of that. They have sales calls from vendors, posts on LinkedIn, and occasionally a conference talk from someone selling something.
AI Health Practice was built to close that gap. We bring the same quality of strategic analysis you'd get from a management consulting firm, priced and structured for the reality of an independent practice. No retainers with 12-month commitments before you've seen value. Start with an audit. Learn what your actual opportunity is. Then decide.
Our principles
No software reselling. No referral fees. No commercial relationships with any AI vendor. If we recommend a tool, it's because it fits — not because we earn from it.
Every recommendation is grounded in clinical evidence and operational data. We don't use the word "revolutionary" and we don't recommend tools we haven't evaluated.
AI serves clinicians. Clinicians serve patients. We evaluate every technology through the lens of clinical safety and patient outcomes first, efficiency second.
If an audit shows your practice isn't ready to implement AI, we say so. Readiness is part of the score. Forcing implementation on an unprepared practice is bad for you and bad for patients.
Mission
Not disruption. Not transformation for its own sake. Measurable results for real practices with real patients. That's the standard every engagement is held to.
How we think
General clinical evidence is a starting point. We look for evidence specific to practice type, size, and country. A tool that works in a 200-bed hospital doesn't automatically work in a 4-clinician private practice.
Readiness is the most underestimated factor in AI adoption. Staff capability, system integration, data quality — all of it matters before a tool goes live. We measure readiness honestly.
Not what the vendor's ROI calculator says. We model the real cost of implementation, training, and ongoing licensing against a conservative estimate of time saved, and show the honest payback period.
CQC in the UK and HIPAA in the US have specific implications for how AI tools can be used in clinical settings. We identify the risks before you're committed to a contract.
Work with us
Tell us about your practice. We'll tell you whether an audit makes sense.