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.
Build content that doctors, compliance leads and CTOs would trust, then produce more of it without letting accuracy slip.
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.
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.
A GenAI workflow took over outlines, first drafts and variants. The technical review and the brand voice stayed with a person.
Results were measured in qualified leads, not in how many pieces went out.
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.
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.
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.
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
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Enterprise blockchain consultancyUAE, Saudi Arabia, United Kingdom and United States
Founder-led work, before Project Station was founded
Read the case studyUAE number plate marketplaceUnited Arab Emirates
Founder-led work, before Project Station was founded
Read the case studyThe headline result came in One quarter. The approach: Write for the decision maker, match content to each buying stage, and use AI only where it is safe.
Content Strategy & Copywriting, SEO, AI Search Optimisation, AI & Automation.
This was founder-led work, before Project Station was founded. It is the same method and the same people we work with now.
Every business starts in a different place, so we never promise the same numbers. Send us your site and the free audit shows the three things we would fix first.