Insights

Field notes on profit leakage, AI and security

Honest write-ups from Aigenrix on finding operational leakage, modeling the business, shipping deep AI automation, and securing what we build — what we ship, what we learn, what we change.

Security & governance

What we check before an AI agent goes live

An agent that can read booking data, patient records or CRM fields is a new attack surface, not just a new feature. Here is the review every agent goes through before it touches production.

3 Apr 2026Ivan Melnykov

ROI & strategy

The three numbers we need before we quote a project

We do not price automation or security work off a feeling. Here is the financial model we build with a client before either side commits to anything — and why "it feels expensive" is the wrong question.

10 Feb 2026Ivan Melnykov

Aesthetic medicine

How AI is changing decision-making in aesthetic medicine

AI helps practitioners select procedures more confidently and lets patients visualise outcomes — turning consultation into a shared, data-backed conversation.

18 Nov 2025Ivan Melnykov

Deployment

Why every medical AI deployment should start with human-in-the-loop

A black-box agent in a clinic is a liability. Here is the case for review-first deployments and why agents that learn from your team end up faster, safer, and more accurate.

30 Oct 2025Ivan Melnykov

ROI & strategy

Measuring ROI from AI agents in a clinic

Most clinics overweight payroll savings and underweight revenue recovery. Here is how to model the real return: leads converted, hours released, and review-load reduction.

22 Sept 2025Ivan Melnykov