Stage 1 · Communications and content
We produce your communications with AI, so your team does not have to.
Website, investor pages, clinical or technical evidence summaries, newsroom, social, decks, internal documents. Produced with AI, edited by people who understand technical content, delivered weekly. The fastest visible gain, and it touches only public data.
Weekly delivery from the first week · monthly retainer
- Website pages and banners built and maintained
- Evidence and literature summaries for non-specialists
- LinkedIn, X and Instagram, planned and produced
- Investor and partner materials
- Internal documents, SOPs, training decks
Stage 2 · Company-wide adoption
Move the whole company onto AI, properly.
Which tools, for whom, with what data. An acceptable-use policy people actually follow, approved tools that beat the personal accounts, and training by role. Ends the shadow-AI problem instead of banning it.
4 to 8 weeks · fixed fee
Stage 3 · Data audit
Sort your data from benign to crown jewels. Write the rules down.
Two to four weeks with your leadership and the people who hold the sensitive data. The deliverable is the map: every data class on its level, the rules for each, and the one-page diagram your board understands. Done with your technical team, not by a questionnaire.
2 to 4 weeks · fixed fee
Stage 4 · Architecture and build
The private level, the local level, and the gate between them.
Which cloud for the open and internal levels. What machine and which model for the crown jewels, often a single workstation. The gate and the approval chain. Built by named partners; we lead, specify and sign off. We never sell hardware.
Scoped after the audit
Stage 5 · Ongoing oversight
Someone whose job it is to keep it safe.
Policy, vendors, training and board reporting, on a monthly retainer. The relationship that keeps the wall standing as the tools change every quarter.
Monthly retainer