Customers | ScaleHub

Data volumes fluctuate, regulatory compliance does not: The NOVENTI case study

Susanne Richter-Wills 27. September 2024

In Germany’s health system, service providers like NOVENTI facilitate the billing & clearing between pharmacies, care providers, and health insurers — processes driven by millions of documents. Speed and accuracy are key, as their customers aren’t paid until prescriptions and referrals are processed and reconciled with insurance providers.

NOVENTI enlisted ScaleHub’s collective intelligence solution to support and relieve their staff amidst several document processing challenges.

Scalable intelligent document processing solutions for BPOs

Peter Mueller 5. June 2024

Overcoming scalability obstacles in document processing

How can BPOs ensure data privacy in intelligent document processing?

Peter Mueller 28. March 2024

Every transaction, in any industry, generates or uses a document. These documents are ubiquitous and varied, from shipping documents and

Webinar: How to Streamline Data Extraction from Forms with AI & HI

Susanne Richter-Wills 24. July 2023

Whether business to business, customer to company, or government to citizen, forms—like applications, claims, shipping records, tax ID documents, customer

How AI + collective intelligence can = happier insurance customers: Alternus webinar recap

Torsten Malchow 26. July 2022

How can insurance companies avoid high customer attrition? And what does collective intelligence using crowdsourcing technology have to do with

Virtual executive session: Wow customers with exponentially faster claims & benefits processing

Torsten Malchow 7. July 2022

Why are insurance companies still losing customers? Is it the product? The cost? A change in the market? Competition? The

ScaleHub = Instant scalability for one of Germany’s largest public health insurers

Torsten Malchow 9. February 2022

It’s a blessing to work on a solution that can potentially improve so many business challenges in as many industries. But don’t just take our word for it, the best way to communicate the value ScaleHub can bring an organization is through the organization itself.

Scaling up with ScaleHub: Real Garant

Torsten Malchow 28. April 2021

After performing a thorough market evaluation, Real Garant, a wholly-owned insurance brand within the Zurich Insurance Group, decided to optimize their claims management process using ScaleHub’s crowdsourcing portal.

Manual verification challenges? Watch our on-demand webinar to see how Community Brands solved theirs with crowdsourcing

Torsten Malchow 17. December 2020

When a large sum of money changes hands—whether through a loan, assistance, or even a purchase—large sums of documentation tend to accompany it. That’s just a fact of life. But while money makes the world go round, the paperwork involved tends to slow everything down to a crawl.

A deep dive with IAN into dramatic reductions in document verification time with 99.x% accuracy

Torsten Malchow 19. November 2020

The Intelligent Automation Network (IAN) is a network of thought leaders in enterprise transformation, with focus areas including scalability, transformation, and resiliency—precisely why we chose to partner with them for our next educational session and case study.

Category: Customers

Data volumes fluctuate, regulatory compliance does not: The NOVENTI case study

Scalable intelligent document processing solutions for BPOs

How can BPOs ensure data privacy in intelligent document processing?

Webinar: How to Streamline Data Extraction from Forms with AI & HI

How AI + collective intelligence can = happier insurance customers: Alternus webinar recap

Virtual executive session: Wow customers with exponentially faster claims & benefits processing

ScaleHub = Instant scalability for one of Germany’s largest public health insurers

Scaling up with ScaleHub: Real Garant

Manual verification challenges? Watch our on-demand webinar to see how Community Brands solved theirs with crowdsourcing

A deep dive with IAN into dramatic reductions in document verification time with 99.x% accuracy

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