AI-Powered Data Management and Analytics Platform for a Large Financial Holding
An AI-based Assistant and Knowledge Keeper with comprehensive knowledge of IT systems, capable of providing essential information during the development and maintenance of software products. It can answer questions about the products, monitor task and project execution, anticipate potential issues, and ensure efficient team and resource management.
About the Client
Our client is one of the largest national financial holding comprising a full-service investment bank, retail bank with more than 100 branches in more than 50 cities national-wide, private banking UHNW firm, real estate fund, asset management company and insurance company. The holding has a number of products with more than 5 million annual downloads that involve more 1500 software developers.
Project Background
To tackle these problems, the client aims to streamline their maintenance processes. They want to reduce costs significantly while ensuring that their software products remain high-quality and reliable. By improving how knowledge is shared among team members and using AI technologies, the client believes they can achieve better efficiency. This initiative is vital. It will boost their software team’s productivity. It will also ensure long-term success in maintaining their products.
After carefully evaluating several vendors, the client chose Itexus for our expertise in artificial intelligence and software development management, as well as our strong technical skills in financial analytical systems. Our proficiency in machine learning and natural language processing also caught their attention!
Effort and Duration
7 months
Solution
iOs and Android Development
Engagement Model
Time & Materials
Project Team
Project coordinator, ML, Front-end Developer, Back-end Developer, DevOps, Analyst, Testing, Manager
Tech stack / Platforms
Third-party integrations
Integrated with wide corporate platforms like Jira, Confluence, GitHub, Slack, etc. for automatic monitoring of all activities.
Project approach
Overall, the results at the client surpassed expectations. The AI Assistant spots hidden problems buried in numbers and reports. It also offers solutions.
By automating routine tasks previously managed by managers, the AI Assistant effectively reduced the workload on managers by 80%. It freed up time for strategic planning and decisions. Project management got smoother. Fewer delays. Improved team productivity.
Interacting with AI-Assistant. The manager can ask questions in a free form and receive quick answers. The assistant also informs about tasks that require attention.
Results
– Removes 80% of routine tasks on control and management from the manager.
– Identifies and shows problems that are usually hidden under many numbers and reports, and also offers options for solving them.
– Increase productivity by 24%.
– Reduce development costs by 19%.
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