A foundation for AI-supported decision-making. Artificial intelligence is increasingly discussed as the next tool for efficiency and competitiveness in both the public and private sectors. In practice, however, many organisations encounter one fundamental problem — AI cannot fully help when information is fragmented, unstructured, or locked away in PDF files, emails and legacy document systems.
For this reason, one of the most important directions for digitalisation in the coming years will not simply be the acquisition of new AI tools, but rather structuring documents, processes and institutional information in a way that AI systems can use safely to support decision-making. This is where public-private partnership (PPP) can become particularly important.
Why ordinary digitalisation is no longer enough
Many organisations have already "digitalised" their documents — they have been scanned and are stored in document management systems or in the cloud. However, this does not mean that this information is usable by AI. AI requires:
- structured data;
- document metadata;
- clear version control;
- process logic;
- links between decisions, legal acts and documents.
Otherwise, AI sees only a large mass of information without context or priorities. In practice, this means organisations will need to build not only digital archives, but an "AI-ready" information environment.
PPP as a tool for digital transformation
The public sector often lacks funding, technological competence, flexibility and the capacity to rapidly implement innovation. The private sector, on the other hand, has the technology, development capacity, AI solutions and experience in process automation. The PPP model allows these two sides to be brought together. In practice, this can mean:
- shared document digitalisation infrastructure;
- AI-supported document classification;
- process algorithmisation;
- automated preparation of decisions;
- risk and compliance analysis;
- streamlining of public services.
This becomes especially significant in sectors with large document volumes: healthcare, construction, infrastructure projects, procurement, the judiciary, and the finance and supervisory sector.
AI is changing the decision-making process
It is important to understand that, in the near term, AI will in many cases not replace human decision-making. It will, however, significantly change information selection, risk identification, scenario analysis, document preparation, compliance checks and process control. Organisations with structured, AI-accessible information will make decisions faster and at lower cost.
An important question: AI governance
Digitalisation for AI purposes simultaneously raises new governance questions: who controls the AI systems, how is the information provided by AI verified, how is data protection ensured, and where does responsibility lie for AI-supported decisions. For this reason, alongside the technology, AI governance will also be needed: clear structures of responsibility, human oversight, auditable processes, data quality control, and compliance with the GDPR and the EU AI regulatory framework.
Latvia has an opportunity here
Latvia is flexible enough to become one of the practical examples in Europe for implementing AI governance and process digitalisation. PPP models can become a tool that allows faster adoption of innovation, reduces administrative burden, improves the quality of public services, and at the same time preserves governance control and security.
The next stage of digitalisation will no longer simply be converting documents into PDF format. It will be a process in which organisations' knowledge, processes and documents become structured and accessible for AI-supported decision-making.