Smart Solutions and Consulting for Your Business's Digital Future

A software development company has introduced an AI-based bug reporting management system that integrates with the Jira workflow. The system automatically analyzes incoming bug reports. The AI recognizes incomplete or inaccurate reports and provides users with real-time feedback on what information they need to add. The system categorizes and prioritizes bugs, then directs them to the appropriate development team. Consequently, the time it takes to process bug reports has significantly decreased, the number of incomplete reports has decreased, and the development team has more time to spend on actual bug fixes.

A service provider implemented an AI-based system that automatically analyzes and validates employees' working time entries based on the company's rules and regulations. The AI recognizes irregularities and deficiencies, flags the necessary corrections, and generates TIG (time and attendance) documents based on the corrected data. The system integrates with HR and financial systems to ensure accurate, compliant accounting. Consequently, the processing time for working time accounting has decreased, errors have been reduced, and the administrative burden on the HR department has significantly decreased.

A customer service center introduced a letter processing system based on Agentic AI that automatically analyzes and categorizes incoming customer letters according to their content and urgency. The AI recognizes the type of letter, such as a complaint, question, order, or feedback, and then performs the appropriate task, such as generating a response, initiating a workflow, or directing the matter to the appropriate specialist. The system can also perform complex administrative processes such as status queries, simple modifications, and information provision. Consequently, processing time has decreased, customer satisfaction has increased, and customer service staff can now dedicate more time to complex cases.

A construction company implemented an AI-based quotation system that automatically processes incoming inquiries and cost estimates. Then, it analyzes project requirements based on intelligent checklists. The AI calculates material and labor costs by taking market prices and previous projects into account. Then, it prepares a detailed implementation plan and realistic schedule. The system generates a final quote in a professional format that includes a cost breakdown, risk analysis, and alternative solutions. As a result, the time required to prepare proposals has decreased by 75%, calculation errors have decreased by 90%, and the rate at which the company wins bids has increased by 35%, thanks to more accurate pricing and a professional appearance.

A technology company has introduced an AI-based system to support customer service. The system responds to incoming customer inquiries using the company's existing knowledge base and documentation. The AI processes only topic-specific questions within the company's area of expertise, generating pre-approved responses tailored to the company's style and tone. The system automatically recognizes the type of question, selects an appropriate response template, and sends a personalized, formatted response back to the customer. As a result, response times have decreased by 85%, response quality and consistency have improved significantly, and customer service staff can now focus on solving complex problems.

A manufacturing company has developed an AI-based application to support service partners. It assists third-party service technicians by automatically analyzing incoming fault reports. The AI processes the fault description, identifies the problem, and returns relevant repair instructions, a list of necessary parts and recommended tools, and best practices for an effective repair. Since the system is based on the manufacturer's entire knowledge base and previous service case data, it always recommends the latest and most effective solutions. Consequently, service case resolution time has decreased by 65%, first-time fix rates have increased by 80%, and service partners are more satisfied due to the fast, accurate support.