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Creatives on Contra have earned over $150M and we are just getting started
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What happens to an invoice after you send it?
For many businesses, the journey still looks something like this:
Receive the invoice
Read through it
Enter the details manually
Check if everything is correct
Send it for approval
Finally move the data into the next system
And when you’re dealing with hundreds or thousands of invoices, those small steps quickly become a lot of work.
This is where intelligent document processing can change the workflow.
With HIQ Labs’ Extraction IQ, the process can follow a structured flow:
Invoice Intake → AI Extraction → Validation → Review → Approval → Export
The system can receive invoices from sources such as emails, PDFs, images, shared folders and supplier portals.
AI then extracts important information—supplier details, invoice numbers, dates, tax values, totals and more.
But extraction is only one part of the story.
The information is validated against business rules, invoices that need attention can be routed for review, and validated invoices can then move forward for approval and downstream processing.
The goal isn’t simply to “automate invoices.”
It’s to make the entire journey of an invoice more connected, consistent and manageable.
Less manual entry.
Fewer repetitive checks.
More visibility into the process.
Because good automation doesn’t just remove a task—it improves the workflow around it.
#DocumentAI #IntelligentAutomation #InvoiceAutomation #BusinessProcessAutomation #AI #DigitalTransformation #ProcessAutomation #EnterpriseAI #HIQLabsd models using different
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.
A custom Python API automation project built to connect external services and automate repetitive workflows.
The system handles API requests, JSON data, authentication, and automated data processing while including reliable error handling.
Tech Stack: Python, REST APIs, JSON, Requests
Built with clean, maintainable code and designed for real-world API integration and automation.
