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40,000+ payment events a month. Each one needing to route to the right downstream system.
A fintech client had a payment processing flow built across two platforms — Make.com handling transformation logic, Zapier handling CRM and notifications. They worked fine in isolation but coordinating them was a mess. Events triggered in the parent system needed to fan out to child workflows conditionally, based on payment type, amount range, and currency.
I built a webhook routing layer that acts as the orchestrator. Incoming payment events hit a central endpoint, get classified, then get dispatched to the right child webhook — all within seconds.
The tricky part wasn't the routing. It was making it resilient. At that volume, occasional webhook failures are inevitable. We built in retry logic and a dead-letter queue so nothing gets silently dropped.
It now runs 40,000+ executions a month without anyone touching it.
High-volume automation isn't just about moving fast. It's about failing gracefully when things go sideways.
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I designed a property management workflow in Zapier that integrates Airtable, Slack, and webhooks to automate vendor and property record handling.
The setup includes duplicate checks, conditional paths, and automated messaging, reducing manual intervention while keeping data clean and communication consistent.
It’s a great example of how I approach complex automation challenges—breaking them down into clear logic paths and building systems that scale.
This workflow was a fun challenge to build lots of branching logic, but worth it to see property owners save time and avoid repetitive tasks. Excited to keep refining it.
Vendors were chasing down approvals for weeks.
The bottleneck: invoices landed in a shared inbox, and someone had to log into a system, find the right record, and click approve. With a busy team, that step got delayed constantly.
I built a one-click email approval flow. When a new invoice comes in, an automated email goes to the approver with a summary and two buttons: Approve or Reject. No login. No navigating to another system. One click from their inbox and it's done.
The click triggers a webhook that updates the invoice status, notifies the vendor, and logs the decision with a timestamp.
The client went from average 6-day approval cycles to same-day for anything under a threshold. The approvers barely noticed they were using a new system — it just showed up in their email like everything else.
That's usually the goal: make the automation feel invisible. The less friction, the higher the adoption.
Tether is a custom middleware solution engineered to eradicate one of hospitality's most expensive bottlenecks: the gap between legacy POS systems and labor scheduling. By leveraging Make.com for high-frequency API polling, Tether automatically cross-references live sales data with time punches and maps it into a unified, real-time dashboard. Zero manual reporting, zero data silos—just instant visibility into labor-to-sales ratios.
apisystemdesignautomationstrategyDevOpsSoftware DevelopmentBusiness Workflow AutomationAnthropicMakePython
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