Real workflows.Real results.
Two businesses. Different industries. One pattern — automation built after the workflow was understood and the process was fixed first.
The ads team was spending 4–8 hours every Monday pulling reports manually across 8 Amazon brands. We built an end-to-end automation that collects, calculates, and delivers a consolidated report before the week begins.
Finance data across every property was extracted and reconciled by hand each night. We built a real-time automation that listens to Guesty reservation events, validates financials, and updates a live dashboard — eliminating the nightly process entirely.
The logistics team manually checked Amazon Seller Central every day to track 40–60 inbound shipments across multiple brands. We built an automated workflow using the Amazon SP-API that monitors receiving status, detects delays early, and gives inventory teams a single real-time source of truth.
IT service teams were manually handing off between Sales, Delivery and Finance — entering the same data across multiple systems, causing delays and errors. We connected HubSpot/GHL, ClickUp, Slack, Google Sheets and QuickBooks so everything from lead approval to invoice creation flows automatically.
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Every engagement starts with understanding how work actually moves — before we automate anything.
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