Case Study
Use Cases
End-to-End a Building for GenAI-Driven Products: From initial concept validation to full-scale product development.
Industries
HR
Consulting
Client Information
The client is a mid-sized enterprise (SME) specializing in consulting services focused on leadership development. Their typical clients are companies operating in critical infrastructure sectors, many of which generate several billion euros in annual revenue.
The Challenge
A mid-sized enterprise (SME) recognized a gap in the market for a digital product that could significantly enhance its consulting services. Despite having a clear market perspective and positive preliminary feedback from potential customers, the company faced several challenges in bringing this product to life:
Lack of Time: The company was fully occupied with its core consulting business and did not have the time to dedicate to building a new product.
Resource Constraints: The SME lacked the in-house expertise and manpower needed to develop a digital product, particularly one involving advanced generative AI (GenAI) technologies.
Technical Expertise: While the company had identified a promising market opportunity, it did not possess the necessary technical knowledge to translate the concept into a functional, market-ready product.
The Solution
The SME engaged us to take full responsibility for the venture building process, transforming their initial idea into a successful digital product. Our approach included the following key steps:
Concept Development: We took the client's broad idea and developed it into a concrete product concept. This involved defining specific features, creating a product roadmap, and prioritizing the development stages.
Market Validation: The client validated the proposed features with their existing customers, assessing interest, willingness to pay, and feature priorities. This feedback was crucial in refining the product strategy.
MVP Development: Leveraging no-code solutions for both the frontend and backend, we quickly built an MVP (Minimum Viable Product). This MVP incorporated the essential features and GenAI components, allowing the client to test and validate the product in the real world.
Iterative Enhancement: Based on the initial field feedback, we identified areas for improvement and then developed a full-fledged version of the product using traditional software development. This involved upgrading the UI/UX design, enhancing the GenAI functionalities, and refining the overall product experience.
The Results
Throughout the process, we managed everything from concept development to product management, design, and implementation, ensuring a seamless transition from idea to market. The collaboration led to significant outcomes:
Rapid Time-to-Market: The initial MVP was delivered quickly, allowing the client to begin testing and gathering user feedback much sooner than with traditional development methods.
Cost Efficiency: By initially relying on no-code solutions, we **significantly reduced the development costs**. The full-fledged product, built after the MVP validation, was delivered within budget.
Market Success: The digital product, now fully launched, has already recouped its development costs within just six months of deployment. The tool has been successfully integrated into the client's operations and is delivering substantial value to their customer
