Description
Learn how Novacomp drove the commercial diversification of an artificial intelligence consultancy by delivering a specialized quality control service for the launch of Cognitive, an AI-powered Chatbot solution. Under an agile and cost-optimized approach, ongoing QA support enabled the validation of unstructured data processing, adapted testing to constantly evolving algorithms, and accelerated time-to-market with a robust, highly usable MVP.
What will you discover in this document?
By reading this case study, you will learn:
- The challenge of commercialization and development constraints: The need to launch a lower-cost, customizable Chatbot for SMEs under tight time-to-market deadlines, with a small development team and a lack of formalized QA processes to prevent testing bias.
- The methodological approach in dynamic AI environments: Executing a 4-month fixed-price project where Novacomp was involved across all pre- and post-deployment stages, adapting testing strategies to constantly evolving AI algorithms and accelerating MVP development.
- The tech stack and cognitive testing tools: Utilizing automation and performance frameworks such as Sikuli, Selenium WebDriver, Eclipse, JMeter, and BlazeMeter, integrated with NLP/NLU architectures and IBM Watson cognitive services for sentiment analysis, context comprehension, and natural language understanding.
- Results and product quality impact: Delivering a solid core that facilitated continuous iterations and adjustments, drastically reducing testing bias through an independent QA team, and enabling agile post-launch scaling and enhancements.