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 happydoc.ai (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
Time-consuming medical documentation, leading to veterinarians staying late, stress, and deprioritized record-keeping.
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.
“SOAP notes generated by HappyDoc require edits less than 15% of the time, and edits are quick and small.”
Quoted word for word from the source
“Across our team of four doctors, we’re saving over 200 hours a year with HappyDoc — time we can now spend on patient care and improving our services.”
Quoted word for word from the source
“The accuracy of the SOAP notes generated by HappyDoc proved remarkable, ranging from 85% to 100%.”
Quoted word for word from the source
“Each veterinarian now saves significant time on record-keeping, time they can reinvest in patient care — or even a well-deserved break.”
Quoted word for word from the source
“One of the standout features of HappyDoc was the PIMS writeback integration with Cornerstone, which significantly reduced the administrative workload.”
Quoted word for word from the source
“Comprehensive documentation has improved client communication and satisfaction.”
Quoted word for word from the source
“Reduced stress and a better work-life balance for the entire veterinary team.”
Quoted word for word from the source
“Across our team of four doctors, we’re saving over 200 hours a year with HappyDoc — time we can now spend on patient care and improving our services.”
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
70 — automation rate
Vendor-reportedBanking & finance · Document processing · NLP · Scaled · 2023
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