Tag: Payroll Automation
94% Faster Bordereaux Processing — A Real-World Success Story
One leading insurer achieved a 94% reduction in bordereaux processing time — taking tasks that previously required hours and completing them in minutes.
The Results:
📉 94% Faster Processing – Reports that took hours now run in minutes
📈 Enhanced Transparency – Improved visibility & understanding of partner data
🔒 Governed Data Management – Eliminated bottlenecks & ensured compliance
👨💼 Empowered Users – Business teams can process data with just a few clicks
👉 Want to eliminate manual data headaches?
💬 Let’s talk about how Verodat can streamline your data operations.
The Client:
A virtual insurer fulfilling all core insurance functions — including sales, distribution, pricing, product innovation, claims, analytics, and governance.
With a partner network of over 400 cover holders, the operations team handled hundreds of bordereaux files each month across the market.
By adopting Verodat’s data supply chain management tool, they transformed their data preparation process, achieving:
✅ 94% faster bordereaux processing
✅ Automated data consolidation across systems
✅ Improved transparency & governance
The Challenge:
Each partner submitted bordereaux in different formats, often with inconsistent or incomplete data.
This created significant delays for the operations team, who were responsible for cleaning, formatting, and consolidating files before they could be used for downstream reporting or compliance.
The process:
-
Slowed response times
-
Introduced data quality issues
-
Created operational bottlenecks
-
Made real-time insight almost impossible
The Solution:
The insurer adopted Verodat to centralise and automate its bordereaux management. Using Verodat, they were able to:
🚀 End-to-end data preparation in one platform
🔄 Automated data collection, cleansing & transformation
📊 Integrated partner data into downstream systems
Key Features:
✅ Built-in mapping for governance rules & auditability
✅ Data enrichment for smarter business decisions
✅ Self-service automation—reducing IT dependency
Other resources
Check out some of our additional resources and find out why the future of AI for business depends on data.
How an Engineering Firm Cut Payroll Processing Time from 14 Hours to Just 1 Hour
🚀 Verodat helped an engineering client eliminate manual data entry, reduce errors, and speed up payroll processing by 90%. Here’s how.
The Solution: AI-Powered Payroll Data Automation
📊 The Results: 90% Time Savings in Payroll Processing
📞 Want to streamline payroll like this? Let’s talk!
🚀 Payroll processing time reduced from 14 hours → 1 hour
🚀 Eliminated manual errors & duplicate data
🚀 Created a seamless, automated payroll workflow
With Verodat, the finance team no longer dreads payroll day—it just works. 💡
🔍 The Challenge: A Fragmented Payroll Process
Managing payroll in the engineering sector is more complex than it should be. Between tracking hours, calculating tax and overtime, and ensuring accurate financial reporting, finance teams spend hours manually moving data between disconnected systems.
One of our engineering clients was facing serious inefficiencies in payroll management. Their systems—BrightHR for time tracking, Sage for payroll, and Xero for financial reporting—weren’t connected, forcing them into a slow, error-prone manual process every two weeks.
Before using Verodat, the company faced several payroll issues:
- Data Silos – Payroll, time tracking, and finance systems didn’t communicate.
- Manual Data Entry – Copy-pasting from system to system led to errors.
- Time-Consuming Process – Payroll took 14 hours every pay cycle.
This meant their finance team was spending valuable time on admin instead of strategic work.
⚙️ The Solution: AI-Powered Payroll Data Automation
Verodat seamlessly connected their payroll stack, eliminating manual work. Here’s what changed:
✅ Automated Data Syncing – No more manual input across systems.
✅ Error Reduction – No more duplicate entries or miscalculations.
✅ Time Savings – Payroll now processes in just 1 hour instead of 14.
Other resources