iTromsø · IBM, VC2
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
Artificial intelligence, professionally covered
Document processing
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by rossum.ai (vendor self-report). Checked against the source page on 2026-09-06. 8 of 8 figures below appear on that page word for word.
Processing 100,000+ annual invoice pages from suppliers using inconsistent formats across 23 countries was becoming unsustainable for their centralized 12-person AP team.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“70% automation rate”
Quoted word for word from the source
“93.4% average data extraction accuracy”
Quoted word for word from the source
“40% AP staff reduction”
Quoted word for word from the source · round percentage, no baseline given
“The outcome of this phase was the automation rate of 74.8% on average”
Quoted word for word from the source
“Reduce errors by 20.5%”
Quoted word for word from the source
“improve extraction accuracy to 93.4% on average”
Quoted word for word from the source
“Maintain 65-70% automation in a dual-integration environment”
Quoted word for word from the source
“Reduce the size of the AP team to 7 FTEs”
Quoted word for word from the source
“It was becoming impossible to process the volume and complexity of invoices manually. If we wanted to continue growing sustainably as a business we needed an intelligent document automation solution. Experiences with other automation providers had left us very disappointed, we felt that Rossum offered us the AI visibility and control to help us continue to scale our operations efficiently.”
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
4X — throughput of security questionnaires
Vendor-reportedTechnology & software · Document processing · AI agents · Scaled
dropped by around 80% — NIS2 preparation time
Vendor-reportedTechnology & software · Document processing · LLM · Scaled
3 minutes — review time per article
Vendor-reportedPharma & biotech · Document processing · NLP · In production
100% — invoice automation
Vendor-reportedManufacturing · Document processing · NLP · In production
16 weeks — Time to live production environment
Vendor-reportedTechnology & software · Document processing · LLM · In production · 2024