What 20+ years on the production side actually teaches you.
Long-form thinking on production capacity, how medical content gets bought, and why work gets blander the more people touch it. No theory we haven't run ourselves.
- Process · Briefing
Four Questions That Cost Twenty Minutes and Save Three Revision Rounds
By the time anyone is discussing the video, the decisions that break it have already been made — usually by people who weren't thinking about production at all. Four questions, answered in writing before you scope anything.
- Capacity · Volume
Volume is the real bottleneck, not complexity
Ask an agency what's slowing them down and you'll hear the same answer: the work is getting more complex. All true. None of it is the bottleneck.
- Delivery · Certainty
The safe pair of hands when the deadline moves
Every business has a story about the week everything went wrong. What separates them isn't whether that happens. It happens to everyone. It's what's already in place when it does.
- Capacity · Agency Operations
Why agencies scaling medical content aren't the ones with the biggest teams
The agencies that miss deadlines and burn out their seniors don't have bad teams — they have the wrong production architecture. What the ones delivering at volume figured out.
- Process · Ownership
Death By Committee — why so much healthcare marketing ends up interchangeable
The fastest way to kill a strong healthcare idea isn't rejection. It's six words: “Let us take it away internally.” How an idea actually dies inside an approval chain.
- Buying Production · Scope
The 5 things NOT in your medical animation quote
The quote says £20k. The invoice says £27k. Nobody lied — the number just wasn't complete. The five places the gap always hides, and the one question that closes it.
- AI · Brand Voice
Trust > Content: why handing your voice to AI is marketing suicide
We're drowning in content and starving for trust. A voice-first content system that uses AI for the tidying — never for the thinking.
Want the proof, not the theory?
The case studies show the same thinking applied to real deliveries — what the bottleneck was, and what came back on time.