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Make decisions faster with DocuMind LLM

DocuMind LLM changes the way you search for information and make decisions: answers are fast, always based on your data and documented with sources.

As a result, teams save up to 70% of their time searching for information, customers get consistent and relevant answers, and the organization reduces the risk of wrong decisions and non-compliance with procedures.

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In what areas does DocuMind LLM make a difference in daily work?

Talk to our consultant about DocuMind LLM and see how it will change the work in your organization

Benefits from the very beginning of the cooperation

RAG Readiness Workshop

Together, we identify the key knowledge sources, processes and users who will benefit from the DocuMind LLM implementation

 
PoC on your data

Within 2-3 weeks we prepare a prototype based on the documents you selected

 
Quick Wins

We provide a solution that can be implemented quickly with immediate business value, e.g., in customer service support or onboarding

 

Models of cooperation

We adapt to your needs and project specifics. Choose the model that best suits your organization:

Expert Consultation (Workshop)

Expert consulting on DocuMind LLM - from use case analysis and potential assessment to architecture, technology recommendations and implementation roadmap.

End-to-end design

Comprehensive DocuMind LLM implementation: process analysis, data preparation, index and retriever construction, team training and production implementation. Delivered on schedule (average 18 weeks) - ideal for strategic implementations in key business areas....

Team support (LLM AI/ML)

We strengthen your team with our specialists: AI/ML engineers, data scientists, integration architects and security experts.

80% Shorter time to prepare documents/writings
90% Shorter information search time
90% Higher productivity of service and back-office teams

The competencies behind our DocuMind LLM implementations

Our experience combines systems integration, records management and modern language models. As a result, we deliver solutions that are secure, up-to-date and ready to scale.
Indexing and searching

We create semantic indexes that guarantee fast and precise answers.

 
LLM models

We combine RAG architecture with any language model, including PLLum, LLaMA, Bielik or GPT-5.

 
Integration of knowledge sources

We consolidate systems into a central knowledge base so that documents and data are always up-to-date and available in one place. We provide the infrastructure for the project or use your infrastructure to meet your requirements.

 
Team experience Our team of 15 consultants has implementations in the Fintech, Banking and Real Estate industries.  

The competencies behind our DocuMind LLM implementations

Our experience combines systems integration, records management and modern language models. As a result, we deliver solutions that are secure, up-to-date and ready to scale.

How is DocuMind LLM changing the daily work of our customers?

Learn stories of real deployments and see how companies like yours are already using RAG solutions.

Faster customer service at the insurance company

One of our insurance clients was grappling with the increasing complexity of policy documents and procedures. Consultants were taking minutes to find the right information, and customers were often getting inconsistent answers.

Implementing DocuMind LLM based on the RAG architecture allowed the integration of documents and CRM into a single search system. Consultants gained the ability to ask questions in natural language and receive data-driven answers - always with citations and an audit trail.

The result: average response time (TTR) reduced by 32%, consistency of communication across multiple channels and fewer escalations to specialists.

 

Talk to our DocuMind LLM expert

Whether you're just considering your first RAG implementation or want to scale existing solutions, it's a good idea to start with a conversation. Our expert (Head of AI Solutions) will help you understand the potential of DocuMind LLM in your organization, identify quick wins and prepare an implementation plan with realistic KPIs.

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FAQ - DocuMind LLM

How is DocuMind LLM different from the company's standard chatbots or search engines?

DocuMind LLM combines language models with RAG (Retrieval-Augmented Generation). This ensures that answers are always based on your documents and company data, rather than on the general knowledge of the model. The system eliminates the risk of so-called "hallucinations" and provides consistent, documented information with source citations.

What company processes does Backoffice LLM support?

DocuMind LLM improves, among other things:

  • knowledge and documentation management,

  • interdepartmental communication,

  • customer service,

  • onboarding of new employees,

  • documentation translation and multi-language support,

  • ensuring regulatory compliance and security.

How long does it take to implement DocuMind LLM?

You will see the first results after 2-3 weeks in the form of Mini-PoC (e.g. Q&A over selected documents).
A full implementation, including integration of multiple sources, data preparation, testing and production rollout, takes about 18 weeks on average.

Is DocuMind LLM safe?

Yes. DocuMind LLM supports data encryption, access control (RBAC/ABAC), ISO 27001 and SOC2 compliance, and on-premise or EU-only cloud deployments.
Each response includes source citation and is logged, providing a full audit trail and transparency.

What systems can DocuMind LLM be integrated with?

We connect to popular knowledge sources and tools such as SharePoint, Confluence, CRM, Jira and Google Drive. The system also supports integrations with CRMs, call centers and APIs, allowing knowledge to be used in various customer service channels.

How to measure the effects of implementation?

Key indicators include:

  • 70% shorter information retrieval time,

  • 50% shorter document and letter preparation time,

  • 20-35% higher productivity of service and back-office teams,

  • +8 p.p. increase in NPS in customer service,

  • elimination of erroneous decisions resulting from inconsistent data.