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AI automation for enterprise

Claude-powered workflows that do the thinking — content enrichment, optimization, competitive research, programmatic landing pages. Production-grade, not prototype.

Book a callSee pricing
  • 57+projects shipped
  • 2.5M+organic traffic managed
  • 14 dayskickoff to live system
workflows/ai-automation.n8nRunning
  • 01

    Signal in

    GSC / Notion / your data

  • 02

    Claude · think + draft

    your tone, your facts

  • 03

    Publish

    WordPress, Webflow, your CMS

What is AI automation for enterprise?

AI automation for enterprise content teams means Claude-powered pipelines that do the thinking — content enrichment, optimization, competitive research — with the quality gates production work needs.

Why enterprise teams need AI automation.

  • Approval chains take weeks

    Each reviewer has a 3-day SLA. Eight reviewers in series means 24 days minimum. Most posts hit double that because of resubmissions.

  • Locale teams duplicate work

    EMEA writes its own version. APAC writes another. Both are working from outdated source content. Nobody has time to sync. The brand drifts across regions.

  • Brand consistency is enforced by goodwill, not systems

    You have a brand guide. Reviewers know parts of it. New content reuses old templates that drifted years ago. Each new post is a small chance to break consistency.

  • Reporting up the chain takes longer than producing

    Monthly board reports require 3 days of someone's time pulling numbers from 6 dashboards. By the time the report ships, the data is stale.

AI automation systems we've shipped for enterprise teams.

  • Live

    Programmatic

    Programmatic SEO AI

    Spin up 100–10,000 templated landing pages from a structured data source with AI-generated copy.

    n8nClaudeAirtable+1
    HighSaves 40h+/mo2+ weeks
  • Live

    SEO

    AI SEO workflow

    End-to-end SEO pipeline: keyword → outline → draft → optimization → publish, with a human approval gate.

    n8nClaudeNotion+1
    HighSaves 40h+/mo2+ weeks
  • Available

    Product

    Product content enrichment

    Pull product specs, reviews, and competitor data into one source-of-truth feed for every PDP.

    n8nClaudeAirtable+1
    MediumSaves 10–40h/mo1–2 weeks
  • Available

    Product

    Product content optimization

    Continuously rewrite PDPs and category pages from search-intent shifts and conversion signals.

    n8nClaudeAirtable+1
    HighSaves 40h+/mo2+ weeks
  • Available

    SEO

    SEO competitor research

    Track competitor publishing cadence, ranking shifts, and content gaps automatically.

    n8nAhrefsApify+1
    MediumSaves 10–40h/mo1–2 weeks

Want AI automation for enterprise for your team?

Book a call and we'll walk through how we'd adapt AI automation for your enterprise stack.

Book a callMore AI automation

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.

What enterprise teams see.

  • 9 → 2 days

    Median approval time

  • 100%

    Posts traceable from brief to publish

  • 3×

    Output per content lead

The enterprise stack we usually plug into.

  • n8n

    Workflow orchestration

  • Notion

    Editorial backbone

  • Airtable

    Structured data

  • WordPress

    Publishing

  • Claude

    Reasoning + writing

  • Ahrefs

    SEO intelligence

  • GSC

    Search Console signal

  • GA4

    Analytics signal

How AI automation tools for enterprise actually works.

What we've learned shipping enterprise AI automation the hard way.

  • Enterprise content ops isn't a tools problem. It's a workflow problem.

    Adding another piece of software to a broken workflow makes it slower. Map the workflow first, automate the wait states second, swap tools last (if at all).

  • If your governance kills velocity, you have neither

    Governance that adds 6 weeks to every post stops being enforced. People route around it. You end up with worse governance AND slower ops. Build the governance into the workflow so it doesn't need to be 'enforced.'

  • Locale teams should share systems, not just style guides

    Style guides drift. Workflows don't (if they're built right). Give every locale the same workflow tooling and the brand drift problem solves itself.

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

Every AI automation build ships with the same baseline.

  • Designed end-to-end around enterprise workflows
  • Built on n8n + Claude — code you own, no vendor lock-in
  • Shipped in 14 days, not 14 weeks
  • Walks-away guarantee if it isn't working at the 30-day mark

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

Talk through AI automation for enterprise.

30 min. We walk your stack, find the highest-ROI build, and ship a plan tailored to enterprise content teams. 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

  • What is AI automation for enterprise?
    AI automation for enterprise is the system we build for enterprise content teams to ship more output without scaling headcount. We design the workflow, build it on n8n + Claude (+ your CMS), and hand it over with full documentation. Read more on the AI automation pillar.
  • Why Claude over GPT?
    Claude is better at following instructions, less likely to hallucinate, and handles long context better — all of which matter when you're building production content systems. We use other models where they win (Cohere for embeddings, Whisper for audio) but Claude is the default for content workflows.
  • What happens if Claude changes its API?
    All our workflows abstract the model call through n8n. Swapping models means changing one node. We've already migrated client workflows from GPT-4 → Opus 3 → Sonnet 4 → Opus 4 without breaking anything.
  • Can it work with my proprietary data?
    Yes — we set up RAG (retrieval-augmented generation) over your internal docs, knowledge base, or product catalog. Data stays in your infra; only the relevant chunks go to Claude per request.
  • How do you prevent hallucinations?
    Multi-layered: temperature settings tuned per task, retrieval-grounded prompts (the model is forced to cite what's in context), output validation against schema and source documents, and a human review gate for anything that crosses a confidence threshold.
  • Will this integrate with our existing tools (HubSpot, Sitecore, etc.)?
    Yes. n8n has connectors for HubSpot, Sitecore, Adobe Experience Manager, Contentful, Workday, Salesforce, and most enterprise stacks. Where no connector exists, we build one. Your existing tools become nodes in the workflow.
  • How does this handle SOC 2, ISO 27001, etc.?
    Self-hosted n8n on your infrastructure means your existing compliance footprint covers the automation layer. No new vendor due diligence. Workflows + audit logs run inside your controls.
  • What does change management look like?
    We work alongside your transformation/digital team. The build phase includes documentation, training, and a transition period where workflows run alongside (not replacing) existing processes. Cutover is gradual, not a big-bang.

More automation for enterprise teams.