- Retail
- Information Technology
- Robotic Process Automation (RPA)
- Publishing
- Healthcare
- E-learning & Education
- Industry 4.0: Robotics & IoT
- Media & Entertainment
- Human Relations
- Manufacturing
- Telecom
- Travel & Hospitality
- Automotive & Logistics
- Finance & Insurance
Finance & Insurance
Cutting-edge technologies to overcome the barriers
Intetics patterners with the peers of Finance and Insurance industries for years. Our team have accumulated the experience that helps our clients to meet the ever-changing customer demands, improve self-services experience and find solutions to mission-critical factors of the businesses. We help our clients to achieve their goals by delivering the following solutions:
- Reporting solutions
- Robotic Process Automation (RPA)
- Intelligent help
- Data processing solutions
- Document management systems
The client expected the tool that would provide consultants with information quickly without time-consuming searches and long lasting training. With InTutor the client managed to increase customer satisfaction rate by 15%. Along with that the time previously spent for employee education reduced by 60%, while the percentage of the customer turnover decreased by 1.3%. InTutor has become the tool that timely provides consultants with the information despite the system changes and additions to the main information source, thus supporting information the needs of the consultants.
A packaged web-based application was bought by the Client’s company to track performance in their insurance business, but it lacked the required functionality and flexibility in data analysis and reporting. Intetics designed a flexible reporting framework and integrated it into the system. Based on it, custom reports were created for various business scenarios. Most of them have enhanced filtering features, functionality for exporting to different formats like Excel/PDF/HTML/etc., and impressive UI design.
- Security & Encryption
How to Teach a Machine to Think Like a Human?
Artificial intelligence and machine learning have become buzzwords over the last several years. Everybody talks about it, explains it and runs workshops. Companies invest in them to drive internal and business systems. However, we should understand the difference between these phenomena.