How We Use AI | Data Rules & Division of Labor

Practical about the tools. Careful with your data.

“AI-powered” is on every agency's website now. Here's what it means at ours: what AI does, what a person does, and what we never do with your data.

The division of labor.

AI does	A person does
Research: competitor sites, search terms, industry sources	Decides which findings matter
First drafts: pages, posts, emails, scripts	Directs it, edits it, takes responsibility for it
Variations: ten headlines, three email versions	Chooses, refines, keeps your voice consistent
Design starting points: layouts, concepts, rough cuts	Finalizes design, checks it against your brand
Analysis: traffic, rankings, campaign performance	Interprets it and decides what's next
Routine operations: reminders, intake triage, summaries	Configures, monitors, handles what the tool isn't sure about

The rule: nothing reaches you unless someone with health-system experience has reviewed it. AI makes us faster. It doesn't make us absent.

Faster, cheaper, and better — in that order of proof.

Faster

A ten-page website that once took a hundred agency hours now takes about thirty-five. A quarter of SEO runs about thirty.

Cheaper

Production bills at $75 because production is faster. When a new tool speeds it up further, your bill drops — we don't keep the margin.

Better

More variations tested and more research read than any small team could by hand. Same judgment, far richer raw material.

Data rules we don't bend.

Patient, donor, and client data never goes into consumer AI tools. Not in a prompt, not in an upload, not “just to summarize.”
Most marketing work needs none of it. Websites, content, campaigns, and analytics work fine without protected health information, and we scope that way by default.
Where a platform can touch protected information — intake, patient communication, documentation — we say so in writing before setup, use only vendors who will sign the appropriate agreements, and configure for minimum data.
Your accounts and data stay in your name. We work inside your platforms, not copies.
We'll put our practices in writing before you send a single file. Ask for our current AI-use policy.

We replace our own tools every few months. On purpose.

The tools change faster than any agency's process. So our own team is the test bed: each quarter we evaluate what shipped, run the promising ones on our own work, keep what earns its place. Learning time is never billed.

Same approach when a practice asks us to evaluate tools for its own operations — we've already sat through the demos. See Platform Configuration.

Ask us anything about this.

Compliance officer, skeptical partner, unanswered question? Bring them to the first call.

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