10Clouds AI Assistant: Knowledge Retrieval and Support with a Customizable Chatbot


January 2023 - Ongoing







The technology landscape within organizations is rapidly evolving, leading to a vital need for efficient knowledge management systems. The 10Clouds AI Assistant emerges as a sophisticated chatbot solution designed to streamline the retrieval of information and improve customer support through seamless integration with workplace tools.


Full-Scale AI Implementation
Software Development



Introduction and Goals

10Clouds presents a state-of-the-art AI Assistant designed to enhance knowledge retrieval and customer support within organizations. Our solution boasts a versatile and customizable chatbot that integrates seamlessly with popular business tools like Slack, Confluence, and Google Drive. This case study explores the journey from conception to delivery, underscoring our commitment to continuous improvement and customer satisfaction through an AI-integrated, agile, user-centered development process.

As businesses accumulate vast reservoirs of data, employees often face challenges when attempting to access and utilize this information effectively. The same applies to digital products' end-users.

Recognizing these pain points, 10Clouds set out to create an AI Assistant that could serve as a bridge between users and the knowledge they require, doing so with the utmost efficiency and precision.


10Clouds identified the need for an AI-powered assistant that is adept at sifting through extensive corporate databanks to deliver accurate, up-to-date information quickly. The challenge was not just to create an AI assistant but to tailor it to align with the diverse requirements of varying business environments.

The creation of this tool entailed multiple phases, which included extracting data from the Confluence API and storing it in a PostgreSQL database. Following that, we cleaned the data of HTML tokens and incorporated it into Pinecone utilizing the Llama-index, a library designed for data importation.

The AI Assistant needed to use a sophisticated system to extract relevant data from integrated sources such as Slack, Confluence, and Google Drive. Thus, the tool leverages RAG for enhanced precision in presenting information by understanding context and nuances within queries.

Upon integration, the AI needs to keep its knowledge base current without manual intervention, ensuring users have immediate access to the latest information. This characteristic is particularly beneficial for businesses with rapidly evolving data landscapes.

In line with 10Clouds' Agile Product Delivery Method, initial product discovery sessions included defining user personas, pain points, and the envisioned user journey. Regular feedback loops with early adopters and stakeholders were crucial for aligning the product's features with actual user needs.

The Process

The Process

Proof-of-Concept Prototypes

The first iteration yielded a basic prototype with core functionalities to extract information from a company's existing knowledge base. This phase tested the initial hypothesis about the market need and user acceptance.

Full AI Solution Development

The final version introduced RAG and focused on boosting the AI Assistant's integration capacities. Machine learning algorithms were employed to refine the relevance of information provided, addressing the challenge of navigating extensive data libraries across integrated platforms.

Scalability and Customization

The final iterations before launching to clients involves ensuring the AI Assistant's scalability and tailoring the customization options. This includes the deployment capabilities on clients' websites or Slack channels and the customization of the AI model to better serve specific informational needs.
Maciej Cielecki
Maciej Cielecki
Head of AI, Co-founder at 10Clouds

"10Clouds AI Assistant is fully customizable, giving your company a capable chatbot tool that shortens research times and enhances customer support."

Build it with 10Clouds

Business Impact

Through iterative development, 10Clouds AI Assistant successfully delivers:

  • A significant reduction in information retrieval times for users.
  • Customizable knowledge integration, providing precise and relevant answers.
  • Broad compatibility with popular business communication tools.
  • High user adoption rates, with a marked improvement in customer support efficiency.

What is the tool characterized by?

Streamlined Query Processing

Users can interact with the AI Assistant to obtain information efficiently without having to navigate through multiple documents or databases.

Personalized Integration

The AI Assistant provides personalized experiences by adapting its functionality to fit the specific needs of each client or company.

Rapid Deployment

It can be easily deployed across a variety of platforms, such as company websites or Slack channels, without requiring extensive setup time.

Imagine a scenario where an employee is searching for the company's latest policy updates. Instead of combing through emails or documents, they can simply ask the AI Assistant for the information, which is promptly provided via the integrated platform of their choice.

Throughout its iterations, the 10Clouds AI Assistant can not only succeeded in reducing information retrieval time for employees but also in enhancing user engagement through interactive and intuitive interactions.

Further development will focus on expanding generative UI capabilities and enhancing software integrations without compromising user simplicity.

The 10Clouds AI Assistant stands as a testament to the power of user-centered design and iterative development, positioning itself as an essential tool for any organization prioritizing fast access to knowledge and streamlined customer support.

To us, it represents a meaningful step forward in the pursuit of harnessing AI to serve specific, real-world business needs effectively.

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10Clouds AI Assistant

10Clouds Assistant is a powerful tool that can collect data from company handbooks, employee information, project details, and more to provide instant feedback. The process of creating this tool involved several stages, such as downloading data from the Confluence API and saving it to a PostgreSQL database. Next, we cleared the data of HTML tags and added it to Pinecone using Llama-index, a library for importing data. Our AI tool can quickly and accurately provide users with the information they need, making it an invaluable asset for any organization.

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