Instead of focusing only on physicians, Brainomix positions its AI as a value-add for the entire stroke treatment ecosystem. By helping increase the use of existing drugs and devices, they create strategic alignment with powerful pharma and med device partners.

Product stickiness in health systems is achieved through deep workflow integration. By embedding a solution into the daily processes of every stakeholder—from medical assistants to billing coordinators—it becomes entrenched and difficult to replace, mirroring the zero-churn model of EMR giant Epic.

The most effective AI strategy focuses on 'micro workflows'—small, discrete tasks like summarizing patient data. By optimizing these countless small steps, AI can make decision-makers 'a hundred-fold more productive,' delivering massive cumulative value without relying on a single, high-risk autonomous solution.

An effective AI strategy in healthcare is not limited to consumer-facing assistants. A critical focus is building tools to augment the clinicians themselves. An AI 'assistant' for doctors to surface information and guide decisions scales expertise and improves care quality from the inside out.

The successful early adoption of AI in healthcare was brilliant because it first targeted the administrative burdens that clinicians hate, such as documentation (scribes) and billing. By winning the hearts and minds of powerful incumbents with immediate quality-of-life improvements, the industry built momentum for more complex clinical applications.

While many AI tools see low adoption (~20%), Ambience wins enterprise deals by demonstrating over 75% of clinicians use its product daily for 80%+ of visits. This high, sticky utilization is a crucial proof point that resonates with health system leaders and proves the tool's indispensability.

To get mainstream users to adopt AI, you can't ask them to learn a new workflow. The key is to integrate AI capabilities directly into the tools and processes they already use. AI should augment their current job, not feel like a separate, new task they have to perform.

To maximize adoption and minimize frontline anxiety, embed new AI tools into existing workflows as an 'easy button.' By skipping a formal launch and training, the focus shifts from the technology's novelty to its intuitive utility, encouraging natural adoption as users discover its value organically.

To overcome physician resistance to new technology, the tool integrates as a seamless add-on to existing ambient listening scribe software. This passive screening approach requires no change in clinical workflow, no extra clicks, and no new habits, making adoption frictionless for time-constrained clinicians.