ANZ Bank · NVIDIA
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot
Other
Ramboll · Kontent.ai
Vendor-reportedProfessional servicesScaledEnterpriseNLPLive 2023
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 kontent.ai (vendor self-report). Checked against the source page on 2026-09-05. 2 of 2 figures below appear on that page word for word.
The problem
Limited integration capabilities with the traditional CMS, complex multilingual requirements, and an outdated CMS with uncertain vendor roadmap.
What was deployed
- Vendor
- Kontent.ai
- Products
- Kontent.ai
- Technique
- NLP
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Scale
- international operations across German and four Nordic languages
- Timeline
- 5 months
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.
7systems integrated
“Ramboll successfully connected seven external systems, creating a seamless digital ecosystem that automated workflows and eliminated manual processes”
Quoted word for word from the source
5website migration time
“Built on React.js with a Node.js backend, the new platform launched in May 2023 after just five months of technical development.”
Quoted word for word from the source
significantly reducedtranslation costs
“Translation costs have decreased substantially through the shift from agency workflows to Kontent.ai’s AI-powered features, while maintaining quality across five languages.”
Quoted word for word from the source
significantly improvedsystem reliabilitysince the implementation
“System reliability has significantly improved since the implementation.”
Quoted word for word from the source
“I think the two biggest qualities we've noticed since moving to Kontent.ai are fit and speed. The fact that it fits well with any system, and the speed—you can connect all the pieces or systems much faster than we were used to before.”
Difficulties and limits
- Limited integration capabilities with the traditional CMS made connecting to external systems time-consuming and resource-intensive
- Needed a user-friendly solution that could fully support their business users
- Complex multilingual requirements across German and four Nordic languages, with the need for efficient content inheritance
- existing traditional CMS was running on an outdated version, and concerns about their vendor’s roadmap created uncertainty about future support and development
- The only integration project we didn’t succeed with was with our translation agency
- The only integration project we didn’t succeed with was with our translation agency
Sources
- kontent.ai — vendor self-report
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