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Automation for healthcare content teams without compromising compliance.

AI-assisted drafts with clinical review gates, HIPAA-aware workflows, regulatory-friendly content systems.

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  • 57+projects shipped
  • 2.5M+organic traffic managed
  • 14 dayskickoff to live system
workflows/healthcare.n8nRunning
  • 01

    Signal in

    GSC / Notion / your data

  • 02

    Claude · think + draft

    your tone, your facts

  • 03

    Publish

    WordPress, Webflow, your CMS

Why healthcare teams need automation.

Healthcare content is where most 'content automation' pitches break down. The compliance reviews are non-negotiable. The clinical accuracy is non-negotiable. The data-handling rules are non-negotiable. Vendors saying 'we 10×'d this team's output' usually mean 'we removed the safety gates' — and that's a malpractice lawsuit waiting to happen.

Done right, automation in healthcare doesn't replace clinical review. It feeds clinical review faster, with cleaner drafts, against verified sources. The bottleneck doesn't move from 'we need more reviewers'; it moves to 'reviewers have less low-quality drafts to wade through.' That's the real win.

  • Compliance reviews kill velocity

    A blog post takes 3 weeks because compliance has a 2-week queue. Most posts die in the queue. The team learns to ship less rather than fight the system.

  • Clinical accuracy isn't optional

    One wrong dosage in a patient-facing blog and you're in a different industry. AI-generated drafts without source-grounding aren't acceptable risk.

  • Patient data can't go near third-party AI

    HIPAA + GDPR + state laws + clinical ethics. Most off-the-shelf AI tools haven't passed those reviews. So your team can't use the tools that 10× output in other industries.

  • Marketing claims need legal sign-off

    Every claim, every statistic, every implication — legal has to bless it. Without automation, that means humans copy-pasting claims into shared docs and waiting for emails.

5 ways we automate healthcare content.

Want this built for your team?

Book a call and walk through what we'd adapt for your stack.

Book a callBack to automation

What we use in healthcare.

  • n8n

    Workflow orchestration

  • Claude

    Reasoning + writing

  • Notion

    Editorial backbone

  • Airtable

    Structured data

  • WordPress

    Publishing

  • Ahrefs

    SEO intelligence

  • GSC

    Search Console signal

  • GA4

    Analytics signal

What healthcare teams get wrong.

  • Healthcare content automation doesn't mean 'skip the review'

    It means clinical reviewers see cleaner drafts, with sources cited, against verified guidelines. Same review depth, half the prep work.

  • AI-generated drafts speed up review, not replace it

    Reviewers spend their hour on judgment calls, not formatting fixes. The leverage is in moving the work upstream — better drafts to review, not skipped reviews.

  • Self-hosted models exist for a reason

    Some workflows can't send data to Claude or OpenAI, period. Self-hosted Llama or Mistral handles those steps. Slower, dumber, but compliant. We build the systems that route per-data-class to the right model.

Four weeks from audit to handover.

  1. $ busyless audit --stack

    • Notion41 ACTIVE PAGES
    • n8n3 WORKFLOWS · 1 STALE
    • Slack12 CHANNELS MAPPED

    3 automation opportunities ranked.

    Step 01 · Week 1

    Audit + mapping

    Stack review. We map your content ops end-to-end and lock the one automation that pays back the fastest.

  2. $ busyless build --system

    • TriggerNOTION DB
    • AgentCLAUDE · RAG
    • ApprovalSLACK
    • PublishWEBFLOW

    Live on staging.

    Step 02 · Week 2

    Build

    I ship the system on n8n + Claude + your CMS. You watch the Loom; we review checkpoints every 48h.

  3. $ busyless test --quality

    • researchPASS
    • draftPASS
    • publishPASS

    0 errors. 12 edge cases caught.

    Step 03 · Week 3

    Test

    Quality gate, edge cases, and a hand-off run with one of your editors. Anything off gets fixed inside the window.

  4. $ busyless handover --doc

    • Loom12 MIN WALKTHROUGH
    • Runbook24 SECTIONS
    • Credentials1PASSWORD

    2 weeks support included.

    Step 04 · Week 4

    Handover

    Workflow JSON + docs + a recorded walkthrough. You own the code; I'm one Slack away.

One operator beats the alternatives on every axis that matters.

No account managers, no junior hand-offs, no 9-month onboarding. The person scoping the build is the one shipping it.

Busyless
Agency
Full-time hire
DIY
Time to first system
14 days
6–10 weeks
3–6 months
Whenever
You own the code
Yes
No
Yes
Yes
Per-automation cost
$2,250
$25k+
$120k+/yr
Your time
Account managers
No
Yes
No
No
Stack depth (n8n / Claude / AirOps)
Native
Outsourced
Hiring lottery
DIY
Ongoing maintenance
Optional
Retainer
Salary
Yours
Walks away if it isn't working
Yes
No
No
—

Need something the table doesn't cover?

Custom scope, retainer, or a one-off prototype — say what you need on the call.

Talk to me

Pricing

Three ways in. All priced upfront.

  • Audit

    $1,500one-off

    Find the bottleneck. Get a 30-day automation roadmap.

    Start with an audit

  • Build

    $2,250per automation

    One custom automation, shipped in 14 days.

    Scope a build

  • Fractional

    $7,650per month

    Content marketing strategy + automation, monthly.

    Book a strategy call
Need the long-term retainer or the lightweight mentorship option? See full pricing

Map automation across your healthcare stack.

30 min. We walk your content ops, lock the bottleneck, and pick the one healthcare automation that pays back fastest. No qualification form.

Direct calendar

Book a 30-min intro call

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One sentence on the bottleneck. I'll reply within 24h with a sharper next step.

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Frequently asked

  • Can this be HIPAA compliant?
    Yes — for workflows handling PHI, we route to self-hosted models (Llama, Mistral) deployed on your HIPAA-eligible infrastructure (AWS HIPAA, Azure HIPAA). For non-PHI marketing content, we use Claude or OpenAI's enterprise tiers with appropriate BAAs.
  • What about clinical accuracy?
    Every clinical-adjacent draft passes through a source-grounding step (the model is forced to cite published guidelines) AND a clinical review gate (a human clinician approves before publish). The system optimises for accuracy, then speed — not the reverse.
  • Does this work for pharma marketing?
    Yes — including MLR-friendly workflows. Drafts route through Medical, Legal, and Regulatory review with approvals tracked. Every claim cites a source from your approved-source library. Audit trails for every revision.