The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
I completed this GoHighLevel automation in December 2025, setting up a reliable workflow that handled payments and scheduling without manual work. The system ran smoothly from day one, and the client was fully satisfied with how it performed.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
My recent client is an Australian printing firm.
They already had clients coming in.
The problem was what happened after the agreement.
When a client agrees to payment terms, every delay matters.
A payment process that sits waiting for someone to follow up can slow down the entire client journey. And when clients experience unnecessary delays, it can affect more than cash flow. It can affect their confidence in the business.
So I built an Agreed Payment System in Make.com designed around the client journey.
The goal wasn’t simply to automate emails.
It was to create a process that keeps agreed payments moving, keeps communication consistent, and reduces the amount of manual follow-up required from the team.
The workflow takes the agreed payment process and routes it through the appropriate steps, conditions, and Gmail communications.
The system helps keep the process moving.
And this is where my background in sales development and client retention comes into the automation work.
I don’t look at automation as:
Trigger → Action → Done.
I look at it as:
Lead → Sale → Client → Experience → Retention → Repeat business.
Because getting a client is only part of the job.
You also need systems that make it easy for that client to keep doing business with you.
Sales development + client retention + workflow automation.
That’s the intersection I build around.
The handoff after a client agrees to terms is where many service businesses leak cash flow. Automating follow-up there is a practical B2B wedge because it ties the workflow directly to revenue.
I recently built this workflow in n8n to automate the first stage of handling customer support requests.
The idea was to take an incoming ticket and let the system handle the repetitive work:
→ Receive the customer request through a webhook
→ Process and structure the incoming data
→ Use an AI Agent to understand the ticket
→ Classify it as Genuine, Spam, or Unclear
→ Route it based on the classification
→ Trigger the appropriate email action
→ Log the interaction in Google Sheets
I also added an Unclear path so that tickets the AI isn’t confident about don’t get blindly processed.
The goal isn’t to remove humans from customer support.
It’s to reduce the repetitive sorting and routing work, so the team can spend more time on the requests that actually need their attention.
Would you automate customer support differently? I’d love to hear how you’d approach it.
The Unclear lane is exactly the right guardrail. I’d add two production checks: redact PII before sending ticket text to the model, and measure false-positive/false-negative rates by category rather than a single accuracy score. Logging resolutions and human overrides back into...
Most businesses don't realize how many tasks they could automate with AI.
When people hear AI automation, they often think about chatbots or content generation.
But some of the biggest opportunities are hidden inside everyday business activities.
For example:
Customer enquiries
AI can categorize incoming enquiries, identify what the customer needs, and route them to the right person.
Proposal creation
Instead of starting every proposal from scratch, a workflow can collect client information and generate a personalized proposal draft.
Lead management
New leads can be automatically captured, categorized, added to a CRM, and prepared for follow up.
Data processing
AI can extract information from documents, spreadsheets, forms, and emails instead of having someone manually process everything.
Follow ups
A workflow can identify leads that haven't responded and prepare personalized follow up messages.
Reports
Recurring business reports can be generated automatically from your existing data.
Information gathering
AI can collect and summarize information that your team normally spends hours researching.
The interesting part?
Most businesses don't need to automate everything.
They need to identify the repetitive activities that consume time, follow predictable steps, and produce a clear outcome.
That's where AI workflows can make a real difference.
At Zeecomedia, we help businesses identify these opportunities and build practical AI powered workflows around their existing processes.
What is one repetitive task in your business that you wish you could stop doing manually?
Drop it in the comments. It might be a good candidate for automation.
