About the client
Consulting firm specializing in Artificial Intelligence, focused on the design and implementation of cognitive solutions for organizations seeking to optimize processes, improve user experience, and scale their digital capabilities.
The client sought to evolve its portfolio, balancing consulting services with proprietary technology products that would enable greater scalability and profitability.
Translated with DeepL.com (free version)
Key impact
MVP in record time
Accelerated product launch
Scalable product
Adaptable and reusable core
Independent QA
Reduction of testing biases
Agile implementation
Optimization of time and resources
The challenge
The client’s main challenge was to diversify its offering, balancing its portfolio between consulting services and proprietary technology products, without compromising quality or significantly increasing costs.
Key challenges included:
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Designing a highly customizable chatbot for different customers and use cases.
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Create a low-cost, competitive, and easily scalable product.
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Develop a functional core that can be adapted to multiple industries.
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Overcome time and resource constraints during development.
What did Novacomp do?
Consulting firm specializing in Artificial Intelligence, focused on the design and implementation of cognitive solutions for organizations seeking to optimize processes, improve user experience, and scale their digital capabilities.
The strategy included:
Product development
Construction of a functional chatbot with a modular architecture.
Adaptable core that enables rapid customization based on the end client.
Focus on quality, stability, and ease of integration.
Quality and testing
Implementation of a comprehensive and independent QA process, ensuring objectivity in testing.
Automation of functional and performance tests to ensure reliability.
Agile implementation
Iterative development focused on delivering a solid MVP in a short time.
Optimization of technical and human resources to accelerate time-to-market.
Results obtained
- Accelerated product launch with a robust and functional MVP
- Reducing bias through an independent QA model
- Agile implementation that enabled objectives to be met with limited resources
- Technology base ready to scale and evolve the product
