Founder-led work, before Project Station was founded
Founder-led work, before Project Station was founded
GenAI and health tech company · AI, GenAI and health technology
A GenAI content engine that lifted qualified leads 40% in one quarter
A technical content team for a GenAI, AI healthcare and Web3 portfolio: 15+ long-form pieces for senior buyers, distribution tied to sales and an AI workflow that cut production time by a quarter without losing accuracy.
40%more qualified leads in a single quarter
25%less production time, with the accuracy bar unchanged
15+whitepapers, case studies and technical articles shipped
Timeframe: One quarter
The goal
Build content that doctors, compliance leads and CTOs would trust, then produce more of it without letting accuracy slip.
How we did it
Write for the decision maker, match content to each buying stage, and use AI only where it is safe.
- 01
Write for the person who signs off
Content was built for the reader who has to defend the purchase inside their company: answer first, every claim verified, the objection dealt with on the page.
- 02
Match content to the buyer's stage
Email, LinkedIn and the website were each matched to where the buyer was, with real search demand choosing the topics instead of an internal calendar.
- 03
Use AI for drafts only
A GenAI workflow took over outlines, first drafts and variants. The technical review and the brand voice stayed with a person.
- 04
Measure leads, not output
Results were measured in qualified leads, not in how many pieces went out.
What made it hard
AI healthcare and Web3 are hard to write about honestly, and expert readers spot vague claims instantly. With AI tools, accuracy is the first thing to slip. We decided in advance which steps AI could touch and kept every claim under human review.
The result
Qualified leads rose 40% in Q3 2024, driven by better distribution and SEO rather than more posts. Production time fell by about a quarter, with the same accuracy and voice.
Where AI helped, and where it did not
The AI tool was used for drafting, not for the final piece. It produced outlines, first drafts and variations. A person checked every technical claim and kept the brand voice. The 25% time saving came from the drafting stages only. Nothing was saved by checking less.
Why this matters for you
Many teams that use AI for content lose accuracy and tone first, and only notice months later, when expert readers have stopped trusting them. Deciding up front which steps AI can do, and keeping a person on the rest, is what makes the speed safe.
The model drafts. A person is still accountable for every claim in it.
Abdul Hakeem, Project Station co-founder
Your turn
Want results like this?
Send us your site. We will show you what to fix first and what it would take. The audit is free and takes five working days.
More case studies
All case studies
Founder-led work, before Project Station was founded