Analysis of reports and annual reports
Analyse annual reports, quarterly reports and financial reports. Identify relevant information and support answers with references to the source documents.
AI for report analysis by supervisory authorities
Automating supervision with AI
Many organisations in central government and the public sector use AI to analyse reports. But the results often remain as unstructured text and are not systematically incorporated into oversight systems or analysis tools. The analysis is automated. The processing is not yet. AI in regulatory oversight makes it possible to analyse reports more quickly and support assessments and risk detection, so staff can focus on reviewing findings, exercising judgement and oversight.
We help regulatory bodies turn document analysis into structured output that can be processed directly, using AI solutions that work with existing systems and IT environments — with attention to traceability, auditability and security.
AI-powered report analysis in supervision: from ad hoc analysis to structured supervisory data
AI makes it possible to analyse large volumes of reports more quickly. The challenge, however, is to integrate the findings systematically into supervisory processes and systems. Combining analysis with the processing of findings creates a scalable, reproducible process for analysing and assessing reports as part of supervision.
AI applications for oversight and report analysis
Automating assessment frameworks and checks
Answer predefined questions and complete checklists based on reports, applying them to multiple documents at once.
Detecting risks and deviations
Identify risk indicators, deviations and signs of non-compliance based on document content.
Structuring and integrating oversight data
Turn analysis results into structured data and feed them directly into oversight systems, dashboards or analysis tools.
“I’m very pleased with the collaboration. The close communication and detailed sprint reviews ensured the model met our needs exactly, resulting in a successful launch for our customers.”
The value of AI in supervisory processes
01
Less time spent manually analysing reports
02
Consistent and reproducible assessments
03
Full traceability (audit trails)
04
Scales as document volumes grow
05
AI results ready to use as structured data
Frequently asked questions,
Brief answers to the most common questions about using AI in the supervisory process.
No. Data is processed in a secure environment and is not used to train public or external AI models.
The solution can be configured to meet the requirements of the supervisory body, with attention to security, governance and auditability.
No. The solution can connect to existing systems and workflows, so your current processes can remain in place.
Answers include source references and can be traced back to the original documentation, allowing you to check and review them.
The solution supports the process; it never replaces people.
It works for various types of reports, such as annual reports, quarterly reports, financial reports and other supervisory documentation.
Use AI to analyse reports in your supervisory process?
Wondering whether, and where, this could make an impact in your supervisory process?
