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CASE STUDIES

Enterprise Knowledge Processing within a Low-Code Platform

Implementation:

since 2023

Industry:

IT Sector / Hyperautomation of Processes

Client's Business Profile:

A Polish technology company, a leading provider of Enterprise-class systems and proprietary low-code platforms dedicated to the automation and orchestration of complex business processes (BPM). Implementing comprehensive solutions for highly regulated sectors (banking, finance, insurance, telecom).

Implementation:
Industry:
Client's Business Profile:

since 2023

IT Sector / Hyperautomation of Processes

A Polish technology company, a leading provider of Enterprise-class systems and proprietary low-code platforms dedicated to the automation and orchestration of complex business processes (BPM). Implementing comprehensive solutions for highly regulated sectors (banking, finance, insurance, telecom).​

Low Operational Efficiency
Risk of
Hallucination
Need for Data Sovereignty

Challenges

Modern financial, insurance, and telecommunications institutions operate on vast knowledge resources encapsulated in procedures, regulations, and hundreds of thousands of processes. Traditional information retrieval methods became a bottleneck, reducing operational efficiency.
The client faced the challenge of implementing an artificial intelligence module that would:

  • Be able to instantly process internal knowledge bases and process data.
  • Offer users an intuitive conversational interface in natural language.
  • Ensure complete data sovereignty.
  • Guarantee answer precision, eliminating the phenomenon of model "hallucinations."

Solution

The answer to the challenge was to design and implement an AI module integrated directly with the core of the low-code platform. The solution is based on a combination of knowledge retrieval algorithms and generative language models:

  • Building an AI module for searching libraries and dynamic document sets.
  • An assistant generating responses in natural language, using LLM language models.​
  • Application of a dedicated RAG architecture, providing vector and hybrid search.​
  • Delivery of the module in an on-premises architecture ensuring full data sovereignty.​

What the Client Gained

Security and Regulatory Compliance

Thanks to on-premises implementation, sensitive banking, financial, and telecommunications data does not leave the client’s infrastructure.

Reduced Time to Information

Employees gained immediate access to distributed process knowledge and procedures through an intuitive conversational interface.

Higher Operational Efficiency

Automation of BPM processes and automatic contextual decision support within business processes.

Reduced Risk of Errors and AI Model "Hallucinations"

The application of an approach based on searching an internal knowledge base ensures that the model generates responses exclusively based on authentic company documents.

Increased Employee Satisfaction and Productivity

Replacing traditional, rigid search engines with an AI assistant significantly improved the User Experience of the systems.