Case Study AI Implementation in Business
An AI assistant is used to significantly increase efficiency by optimizing processes and improving productivity. It also provides top managers with solutions for monitoring task execution, ensuring high quality, and effectively analyzing results.
About the client
Itexus LLC., a software development company, started working with AI four years ago, back when mass AI adoption was just beginning. Visionaries like George could see all the potential AI had, especially in FinTech. Yet somehow, they “never got around to solving their internal issues.”
Trouble was, the growth in orders far outpaced the expansion of the engineering staff. They needed to increase efficiency by optimizing processes and improving productivity. Top management also struggled to control task execution, ensure quality, and analyze results.
Engagement Model
T&M
Effort and Duration
7 months
Solution
iOs and Android Development
Client’s request
The top management spent too much time on routine tasks, which prevented them from focusing more on strategic initiatives and business development. There was also pressure to enhance productivity and reduce development costs to remain competitive.
Specific challenges in mobile app development processes required innovative solutions.
It was necessary to improve staff productivity, reduce development costs, and optimize mobile app development processes using the latest artificial intelligence techniques. This was a challenge for Itexus LLC, a company with over 150 employees, including programming engineers, marketing staff, and administration.
Project Team
Project coordinator, ML, Front-end Developer, Back-end Developer, DevOps, Analyst, Testing, Manager
Tech stack / Platforms
Target audience
Initially the AI-Assistant was intended exclusively for inner Itexus LLC us with aim further spreading over broad businesses.
Target audience
Initially the AI-Assistant was intended exclusively for inner Itexus LLC us with aim further spreading over broad businesses.
Solution overview
Based on the tasks at hand, and then more universally, the following task functionality was developed:
– Assesses the quality of task setting. AI-Assistant automatically checks each task entered into the task manager for completeness and quality, and provides recommendations for its improvement. The AI-Assistant also analyzes systems for task similarity.
– Predicts employee productivity. Able to estimate the time of task completion, analyzes employee efficiency, identifies employee weaknesses for management influence and additional training.
– Monitors the execution of tasks and their quality. 24/7 tracks the deadlines for each task, evaluates quality, performs an auto-review of the code, and also records the number of errors by type. Collects the status of tasks from each employee and generates a report for the manager.
– Monitors compliance with standards. Monitors compliance with standards for each process down to the last decimal point and, if necessary, takes steps to return the process to compliance.
– Predicts and prevents problems. Analyzes data for each project and subtask to predict deadline misses and budget overruns. Escalates issues to management when necessary.
– Analyzes team interactions and communications. Monitors corporate communications to assess team interactions, identifying bottlenecks and providing recommendations for improvement.
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 Itexus LLC (150+ employees) 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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