Public slide story
DNAI turns clinical authority, source-backed reasoning, verification, and execution into one repeatable framework.
01
Problem
- Healthcare AI is full of demos and short on tools people can actually use.
- Generic systems break when clinical context, language, or governance matters.
02
Solution
- DNAI is the open-source Applied AI in Healthcare framework.
- It turns expertise into governed workflows and shareable artifacts.
03
How it works
- Start with one healthcare niche and one concrete workflow.
- Translate expertise into a source-backed process, then add verification and execution.
04
What it replaces
- one-off prompts with no repeatability
- generic copilots with no clinical context
- unclear workflows that cannot be handed off
05
Why now
- The market is crowded with AI hype.
- Buyers want value they can explain in plain language and reuse in a real workflow.
06
How we make money
- Paid workflow design sprint as the first sale.
- Then deployment, governance advisory, custom builds, and support retainers.
07
Proof and traction
- The surrounding stack already acts as proof-of-concept output from the same workflow.
- Validation is real only when a buyer pays and reuses the approach.
08
Roadmap
- 30 days: define niche, buyer, and first workflow.
- 60 days: close the first paid engagement and ship a visible proof-of-concept.
- 90 days: decide whether the model is productized, services-led, or hybrid.