HR data lived in disconnected systems; headcount reports meant manual exports. Now HR and Finance query people data directly, instantly.
An ASX-listed fintech offering ethical lending products to everyday consumers, running two business lines with a growing, distributed workforce including overseas hires.
HR, payroll, and overseas hiring lived in separate systems that never talked to each other, so answering a simple question like quarterly headcount...
“We had a system for everything, but none of them talked to each other. The data was there. Getting to it quickly, and trusting it, was the hard part.”
Pay advance and personal loan app for Australian consumers.
HR, payroll, and IT management platform for global workforce operations.
Beforepay's HR reporting is part of this use case:
Related implementations across industries and use cases
A payroll burn rate view took hours to build, an hour to refresh, and broke with every reorg. One prompt now returns it instantly, live.
Three locations, three silos—headcount was guesswork, reports came back blank. One typed query now replaces an hour of manual merging.
Risk team buried in spreadsheets and email couldn't see enterprise-wide exposure. Unified platform gave them real-time clarity — with the smallest team yet.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
2,000 engineers ran on costly commercial AI with no control over data paths. Self-hosted GLM on dedicated GPUs cut AI costs 90%.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
Generic AI training wouldn't reach workers across construction sites, studios, and sales floors. Each built a Custom GPT for their own role.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
HR data lived in disconnected systems; headcount reports meant manual exports. Now HR and Finance query people data directly, instantly.
An ASX-listed fintech offering ethical lending products to everyday consumers, running two business lines with a growing, distributed workforce including overseas hires.
HR, payroll, and overseas hiring lived in separate systems that never talked to each other, so answering a simple question like quarterly headcount...
“We had a system for everything, but none of them talked to each other. The data was there. Getting to it quickly, and trusting it, was the hard part.”
Pay advance and personal loan app for Australian consumers.
HR, payroll, and IT management platform for global workforce operations.
Beforepay's HR reporting is part of this use case:
Related implementations across industries and use cases
A payroll burn rate view took hours to build, an hour to refresh, and broke with every reorg. One prompt now returns it instantly, live.
Three locations, three silos—headcount was guesswork, reports came back blank. One typed query now replaces an hour of manual merging.
Risk team buried in spreadsheets and email couldn't see enterprise-wide exposure. Unified platform gave them real-time clarity — with the smallest team yet.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
2,000 engineers ran on costly commercial AI with no control over data paths. Self-hosted GLM on dedicated GPUs cut AI costs 90%.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
Generic AI training wouldn't reach workers across construction sites, studios, and sales floors. Each built a Custom GPT for their own role.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.