How AI turns business data into profit

Artificial intelligence (AI) is no longer a distant vision of the future, but a real-world tool that makes today’s work processes faster, more accurate, and less resource-intensive. Of particular potential is private document-aware AI – a solution that can understand, process, and use a business organization’s own documents and provide relevant and reliable answers, while maintaining data security and control. Below, we look at how different industries can benefit most from this technology.

Legal: Faster analysis and more efficient document management

Interpreting legal texts, comparing contracts, and adhering to internal policies requires a lot of attention and time. Private AI helps:

• quickly find specific clauses and references to laws,

• prepare initial responses to recurring customer inquiries,

• analyze case law from documents,

• prepare drafts based on existing content.

As a result, the time spent searching for documents is reduced and resources are freed up for substantive work.

Finance and Audit: Interpreting Standards and Creating Reports Faster

Compliance with audits, financial reporting, and regulatory standards requires constant accuracy. Private document-based AI can:

• identify inconsistencies between documents,

• provide explanations for complex IFRS and GAAP requirements,

• support in harmonizing information from multiple sources and preparing summaries.

This reduces errors, speeds up draft creation, and increases the reliability of reporting.

Healthcare and pharmaceuticals: quick access to complex information

Medical documentation and research contain critical information that can be time-consuming to process. AI enables:

• quickly search for relevant information from internal treatment guidelines,

• interpret drug information leaflets and research results,

• ensure patient data protection when AI is installed locally.

This allows doctors and researchers to focus on competence, not paperwork.

Industry and manufacturing: valuing technical information

Manufacturing companies accumulate tens of thousands of pages of documents: maintenance logs, specifications, safety instructions. AI helps:

• quickly find information about machine maintenance or update procedures,

• support technicians or operators in the middle of a workflow with a specific answer,

• use documented experience to train new employees.

Research and development: finding deep connections and insights

Research fields are facing an information overload. AI helps:

• find answers on a specific topic from analyses and articles,

• identify connections between different studies,

• bring together diverse perspectives to develop a new product or solution.

AI does not replace scientists, but rather enhances their capabilities in information-intensive work.

How does AI work on a document-based basis?

Private document-aware AI uses two components: a vector-based database and a language model (LLM). Corporate documents (PDF, Word, emails, etc.) are indexed and converted into vectors. When a user submits a query, the system finds matching text snippets, which are then sent to the language model to generate a response.

A solution that works via API (e.g. OpenAI GPT-4o) is also secure if:

• only the necessary text segments are sent encrypted,

• data is not stored or used for training,

• connection settings prevent content from being captured.

Security and control that public AI does not provide

Traditional web-based AI services are not suitable for situations where sensitive data or very large document sets are handled. They lack the ability to store data locally, control access, and ensure compliance with information security standards. A private solution enables all of this.

Tarkva The AI offered allows:

• system installation locally or in a controlled cloud,

• secure indexing and vectorization of documents,

• the ability to manage access, audit logs, and data-driven workspaces.

Summary

Private document-based AI offers a practical solution for those who need artificial intelligence that works on their own data, documents, and workflows. Whether it’s legal analysis, financial auditing, or supporting research, private AI makes information useful and accessible while maintaining data control, security, and trust.

This is not just a technological fad, but a strategic investment that helps reduce time, increase work quality, and strengthen data-driven decision-making.