AI solutions

Sector auditors

AI for regulatory reporting analysis

AI for supervisors
Audit automation

Supervision automation with AI

Many organizations use AI to analyze reports. But the results often stick as loose text and are not structurally incorporated into monitoring systems or analysis tools. The analysis is automated. The processing is not yet.

AI within supervision enables faster analysis of reports and support for review and risk detection, allowing staff to focus on assessment, judgment and supervision.

We help regulators translate document analysis into structured and instantly processable output, with AI solutions that connect to existing systems and IT landscapes – with attention to traceability, auditability and security.

AI reporting analysis in surveillance: from loose analysis to structured surveillance data

AI makes it possible to analyze large amounts of reports faster. However, the challenge lies in structurally processing the outcomes within supervisory processes and systems. Combining analysis and processing creates a scalable and reproducible process for report analysis and review within supervision.

Applications of AI for surveillance and reporting analysis

Analysis of Reports and Annual Reports
Analyze annual reports, quarterly reports and financial reports. Identify relevant information and substantiate answers with source references.

Automate review frameworks and checks
Answer predefined questions and checklists based on reports and apply them to multiple documents simultaneously.

Detect risks and anomalies
Identify risk indicators, anomalies and signals of non-compliance based on document content.

Structure and integrate surveillance data
Convert analysis results to structured data and process them directly into surveillance systems, dashboards or analysis tools.

“I am very happy with the collaboration. The close communication and detailed sprint reviews ensured that the model exactly matched our needs, resulting in a successful launch with our customers.”

Yannick Ludwig
Head of Product
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The value of AI in supervisory processes

  • Less time spent on manual analysis of reports
  • Consistent and reproducible testing.
  • Full traceability (audit trails)
  • Scalable as document volumes grow
  • AI results directly usable as structured data

Using AI for reporting analysis within your surveillance process?

Wondering if and where this is making an impact within your oversight process?
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FAQs

Brief explanation of the most frequently asked questions surrounding the application of AI in the supervisory process.

No. Data is processed within a protected environment and not used to train public or external AI models.

The solution can be set up according to the requirements within the oversight body, focusing on security, governance and accountability.

No. The solution can connect to existing systems and workflows, preserving current processes.

Answers are substantiated with source references and are traceable to the original documentation so that verification and review remain possible.

The solution supports the process, it never replaces the human.

For various types of reporting, such as annual reports, quarterly reports, financial reports and other supervisory documentation.