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AI Workflow Automation

AI Workflow Automation with n8n, Make & GoHighLevel

Not every problem needs an autonomous agent. Often the highest-ROI move is a well-designed workflow: trigger, enrich with an LLM, route, act. I build automations in n8n, Make.com, Zapier and GoHighLevel, and I know when a workflow should graduate into a custom agent.

At a glance

  • Hours back every week
  • Faster lead response
  • Connected stack
  • Built to last
Book a free discovery call See related case studies
Outcomes

What you get from this engagement.

  • 01

    Hours back every week

    Repetitive tasks handled automatically and reliably.

  • 02

    Faster lead response

    Leads captured, enriched and followed up in minutes.

  • 03

    Connected stack

    CRM, payments, messaging and AI working as one system.

  • 04

    Built to last

    Error handling, alerts and documentation included.

Deliverables

Scope, made concrete.

  • Process mapping and ROI prioritization
  • n8n, Make.com or Zapier workflows
  • GoHighLevel automations for capture, nurture and booking
  • LLM steps for classification, extraction and drafting
  • Stripe, Twilio, WhatsApp and CRM integrations
  • Error handling, monitoring and documentation
Use cases

Where it delivers value.

  • Lead capture and qualification
  • Inbox triage and drafting
  • Invoice and document processing
  • CRM enrichment and follow-ups
  • Reporting and notifications

Technology

  • n8n
  • Make.com
  • Zapier
  • GoHighLevel
  • OpenAI
  • Claude API
  • Stripe
  • Twilio
  • WhatsApp Business API
  • Webhooks
Proof

Related case studies.

Real systems delivered with this approach, with the constraints and results that came with them.

whatsapp · ai-sponsor
24/7
0:14

whisper → “Tonight is hard. Can we talk for a minute?”

0:19

I’m here. Let’s take it one step at a time. What’s on your mind?

prompt cache · input tokens≈90% saved

Illustrative interface · client data never shown
01AI Sponsor

Multi-Channel AI Support SaaS Platform

The backend for a 24/7 AI sponsor that supports people in 12-step recovery over chat and WhatsApp voice. It combines Claude-powered conversations, Stripe subscription billing and a prompt-caching architecture that cut LLM input costs by about 90%.

LLM input-cost reduction
~90%
Chat and voice availability
24/7
Automated test categories
12
Read case study
Productivity4 stages
  1. 01Research
  2. 02Score
  3. 03Draft
  4. 04Review

Stage 1, Research: Live web search. Stage 2, Score: Topic relevance scoring. Stage 3, Draft: Posts, comments, cover letters. Stage 4, Review: Human edits and publishes.

02Content Copilot

Human-in-the-Loop Content & Career Agent

A local-first, three-agent assistant that drafts LinkedIn posts, comments and tailored cover letters and scores topics against live web search. Every publish and apply action is left to a human by design.

Cooperating agents
3
Topic scoring
Web-grounded
Automated publishes, by design
0
Read case study
Customer Support & E-commerce5 stages
  1. 01Call
  2. 02Listen
  3. 03Understand
  4. 04Act
  5. 05Escalate

Stage 1, Call: Inbound phone call. Stage 2, Listen: Speech-to-text. Stage 3, Understand: LLM intent detection. Stage 4, Act: FAQ answers, order lookup. Stage 5, Escalate: Live-agent handoff.

03Voice Support Agent

Voice AI Customer-Support Agent

A conversational voice agent that answers inbound calls, resolves FAQ and order-status questions in natural speech, and hands off to a live agent as soon as a request is out of scope.

Inbound voice channel
Calls
Self-service coverage
FAQ + orders
Escalation path
Live handoff
Read case study
How we work

A delivery process built for zero surprises.

Clear milestones, working demos every week and measurable quality gates, so you always know what's done, what's next and what it costs.

  1. 01

    Discover

    A free 30-minute call to understand the problem, the data and what success looks like.

    You getClear problem statement and success metrics

  2. 02

    Architect

    A written technical plan: architecture, model and vector-store choices, risks, milestones and a fixed quote.

    You getArchitecture document and milestone plan

  3. 03

    Build

    Iterative delivery in short milestones with working demos, so you see progress every week, not at the end.

    You getWorking increments you can test

  4. 04

    Evaluate & harden

    Measured against an evaluation set, then hardened with guardrails, access control, error handling and load testing.

    You getEvaluation report and test suite

  5. 05

    Deploy & support

    Dockerized deployment to your cloud, documentation and handover, with optional ongoing support and improvement.

    You getProduction system plus documentation

AI project estimator

Get a tailored project plan in 60 seconds.

Five questions about what you’re building. Instantly see the recommended architecture, delivery phases and a realistic timeline, then email it to yourself.

  • Architecture
  • Phased plan
  • Timeline

Step 1 of 5 · What are you building?

Start the estimator
FAQ

AI Workflow Automation: common questions.

Workflow automation or an AI agent?

If the steps are known in advance, a workflow is cheaper, faster and easier to maintain. If the path depends on judgment at each step, an agent fits better. Many systems use both.

Which platform do you recommend?

n8n for flexibility and self-hosting, Make.com for visual multi-step scenarios, Zapier for the widest app catalog, and GoHighLevel when your sales and marketing already live there.

Who maintains the automations?

You own everything. Workflows are documented, with error alerts, and I offer ongoing support if you want it.

Other services

Available for new engagements

Let’s scope your AI Workflow Automation project in 30 minutes.

Free discovery call. You'll leave with a clear view of the architecture, risks and next steps, whether or not we work together. I reply within 24 hours.

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