As part of the reform of the social and health care system in Finland, several independent municipal healthcare organizations had recently migrated to new patient information system.
One of the emerged challenges was related to increased workload in a process of assigning treatment feedbacks to correct units and doctors. The process demands complex decision making which entailed rather heavy manual handling times and frequent human errors.
5 FTE’s saved
100% reduction on human errors
80% drop in process throughput time
In 2019, the Finnish legislation started to demand strong end customer authentication from the users of finance sector web services. This new regulatory requirement challenged all B2C finance sector service providers to review and organize their customer data.
As an option for recruiting large team for the job, our customer decided to investigate the option of building a process automation solution that needed to review and update Know Your Customer (KYC) info for millions of clients across multiple back-office systems based on the end-customers input. The operational process were to have high transaction volumes with heavy seasonal variation. The solution had high throughput requirement and low tolerance for errors.
300k€ yearly savings in employee costs
No need to worry about human errors
Our Insurance sector customer was challenged by simultaneous pressure of delivering operational cost savings and taking care of increasing operational workload in the pension department.
Handling of pension applications, one of the core operational processes, was facing increasing volumes and required the customer to find a solution for meeting their handling time SLA’s without increasing the operational costs.
Our customer had an outdated and fairy expensive RPA solution that was covering some parts of the process. The robot was running on physical laptop without any real time monitoring, supportive documentation or incident management procedures.
5 working days of work per month
80% faster service response time