iTromsø · IBM, VC2
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
Document processing
Skaylink · Moterra
Vendor-reportedTechnology & softwareScaledMid-marketLLM
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 moterra.ai (vendor self-report). Checked against the source page on 2026-09-06. 7 of 8 figures below appear on that page word for word; the rest are marked.
The problem
Audit obligations constantly pulled senior engineers away from client delivery for weeks. Day-to-day knowledge work involved manually reassembling information from disparate sources.
What was deployed
- Vendor
- Moterra
- Products
- Private Claude Cowork, Moterra AI Bridge, Internal Knowledge Assistant, Data Analytics Assistant, Document Comparison, custom NIS2 audit assistant
- Models
- Claude
- Technique
- LLM
- Build or buy
- Bought and customised
- Deployment
- Hybrid
- Data used
- existing document repositories, SharePoint, ticketing systems, individual inboxes, customer incident and support tickets
- Scale
- almost the entire company (600+ employees), adoption reached 80% of the team within the first week
What changed
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.
dropped by around 80%NIS2 preparation time
“NIS2 preparation time dropped by around 80%”
Quoted word for word from the source · round percentage, no baseline given
three timesAudit volume handled by same team
“the same team now handles three times the audit volume.”
Quoted word for word from the source · round percentage, no baseline given
80% LessClient audit time
“80% Less client audit time”
Quoted word for word from the source · round percentage, no baseline given
1FTE avoided
“1 FTE avoided”
Quoted word for word from the source
two hoursTime saved working with documents per employeea day
“Employees drafting, editing, reviewing and comparing complex documents recover an average of two hours a day.”
Quoted word for word from the source
€300k+Capacity unlockedper year
“Combined, these shifts unlock an estimated €300,000+ of capacity per year across sales, customer success and delivery.”
Not found on the source page in these words
two to three hoursSales rep prep time saved per meetingbefore every customer meeting
“Sales reps save two to three hours of client, market and competitor prep before every customer meeting, freeing capacity for more deals across the team.”
Quoted word for word from the source
more than 100Senior days redirected to higher-value worka year
“redirecting more than a hundred senior days a year toward proactive, higher-value work with clients.”
Quoted word for word from the source
daysAudit delivery timefrom weeks
“NIS2 and other audit delivery that took weeks now takes days.”
Quoted word for word from the source
ROI as stated: Combined, these shifts unlock an estimated €300,000+ of capacity per year across sales, customer success and delivery.
“What started as an audit tool turned into AI across the business. Within a week, 80% of our team was using it every day - and today it is how our sales team prepares for meetings, how our TAMs deliver customer audits, and how we scope client work. The goal was never to cut headcount - it was to enable the same team to do twice as much.”
Difficulties and limits
- The team had already tried public AI tools individually, but the documents involved were client-confidential and security could not approve a vendor holding that data.
- Microsoft Copilot was in place but did not reach the document repositories where the actual work lived, so answers still had to be assembled manually.
Sources
- moterra.ai — vendor self-report
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