CASE STUDY
Knowledge Management at Alcorcón City Council
Region
Spain
This project was developed specifically for the Alcorcón City Council, addressing challenges unique to the public sector.
Duration
4 months
The project was completed within 4 months, from initial analysis to delivery of the final solution.
Technologies Employed
RAG (Retrieval Augmented Generation):
To integrate and contextualize relevant data.
LLM (Large Language Model): (Retrieval Augmented Generation):
To understand and generate natural text accurately.
Querix Assistant Platform:
The foundation for creating an intuitive and effective conversational experience.
What we solve
At Alcorcón City Council, we identified a critical challenge: the lack of clear and accessible documentation on internal processes in the Sports Department. These processes depended on a small group of “wise men”, key employees with deep knowledge but difficult to transmit due to lack of time and technical expertise.
The main challenge was to optimize the transmission of this knowledge to document it in a clear, detailed and accessible way for all members of the council, reducing the dependence on individual profiles and improving access to information.
How we solve it
We designed and implemented a comprehensive artificial intelligence-based solution to address these problems:
Conversational Virtual Assistant
We used a large language model (LLM) to develop a virtual assistant that guided savants in validating and structuring step-by-step processes. This assistant allowed to interact in a simple and natural way, even for users without technical expertise.
Data Lake
We built a centralized repository that integrated all relevant documentation, such as internal regulations and bylaws. This provided a robust context for automating the generation of accurate documents.
Modular and Collaborative Interface
We implemented a platform that divided processes into small, manageable units, facilitating their validation and consolidation into an accessible collaborative document.
Information Access
We created a Chat-GPT style virtual assistant that allowed quick queries on internal information, improving accessibility for all employees.
What results we obtained
Centralized and Accessible Documentation
Clear and detailed flows of internal processes were created, available to any member of the city council.
Reduced Dependence on Wise Men
Knowledge transfer ceased to depend exclusively on individual profiles, allowing a more agile and autonomous management.
Time and Cost Savings
The project significantly reduced the time needed to document processes and the costs associated with external consultancies.
Increased Accessibility
The virtual assistant allowed employees to quickly access information, promoting greater efficiency in their daily activities.
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