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Case Study: Orbem cut manual data entry 80% with Spendesk's AI-assisted invoice processing

Orbem Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Orbem
Industry
Deep Tech / AI
Challenge
Manual data entry and receipt searches consumed finance time
Headline result
A deep-tech AI company made invoices payment-ready in minutes and built a single source for reimbursements and invoices

Key results

80%
reduction in manual data entry
auto-fill and AI-based accounting predictions
90%
OCR auto-fill accuracy
on mandatory fields
<10 min
invoice to payment-ready
uploaded and AI-categorised
85–95%
reliable AI suggestions
share of submissions

The challenge

Orbem, a deep-tech company applying AI and MRI technology, needed a single reliable source for all reimbursements and invoices. Manual data entry and searching for missing receipts consumed finance time, and the team wanted faster, more accurate invoice processing.

The solution

Orbem uses Spendesk for expense reimbursements and invoice management, relying on OCR to auto-fill mandatory fields and AI to categorize invoices and provide accounting-based recommendations. Invoices are uploaded, AI-categorised and made payment-ready within the platform.

With Spendesk, we have a single, reliable source for all reimbursements and invoices.

TK
Thomas Kämpf
Director of Finance and Corporate Strategy, Orbem

The results, in context

Manual data entry fell 80% through auto-fill and AI-based accounting predictions, with OCR auto-filling mandatory fields at 90% accuracy and between 85% and 95% of submissions receiving reliable AI suggestions. An invoice can be uploaded, AI-categorised and payment-ready in under 10 minutes. Figures are quoted from Spendesk's published customer story and dated on access (2026-07-23).

Products used

Spendesk Spendesk Spend ManagementSpendesk Invoice ManagementSpendesk Expense Management