Doctors Prefer 80% AI to 0% AI. What's Your Excuse?

Doctors at a major healthcare chain are thrilled with their new technical leadership's rollout of AI features.

The old leadership insisted on perfection. It took forever to release anything.

The new leadership ships AI products that are less than perfect—and that's OK because the benefits outweigh the risks.

Literal quote: "Doctors are OK with imperfect AI implementation… even if it works 80% of the time, that's sometimes enough. If the use case is compelling, adding AI brings incredible value… they understand that AI is fundamentally different and are OK with slight imperfections and some manual steps."

They started with simple low-hanging fruit: eliminating repetitive tasks, blind spot indicators and mistake avoidance, voice-to-text transcription, aggregation and reporting.

The customers (doctors) are sophisticated enough to understand that AI products are fundamentally different: they're not programmed—they're trained. And they get better over time.

PwC just released their 2025 AI Predictions with a stark warning: companies that establish AI leadership now will maintain permanent dominance—like the internet winners of the '90s. Those who hesitate may never catch up.

But here's what PwC also said: "Your choice of LLM won't matter. Everyone will be using them. What sets you apart is how you leverage AI with your institutional knowledge and proprietary data."

You're sitting on a treasure trove of customer understanding, surrounded by a veritable ocean of AI capabilities. The model is not your moat. The technology is not your moat. The only thing that matters now is understanding your customers' pain points and deploying something simple to address them—so you can start collecting data today.

Stop overplanning and overthinking.

Stop endlessly debating and hedging.

Land and expand.

Take 2-3 things you've heard your customers complain about this week and run a Snowball Sprint with me for $95K. Together with your team, we'll go from idea to working POC in 2-3 weeks, then to Beta in 6-8 weeks. (Slightly longer in regulated industries like healthcare, obviously.) And I'll train your team to move this fast in the future.

This is the new model. Everything else is innovation theater.