AI Transparency

This AI Transparency notice explains, at a high level, how DigiScore uses artificial intelligence and machine learning, what the system is intended to do, what its limits are, and how DigitalRates approaches responsible and accountable AI use.

DigiScore is an AI-powered credit intelligence platform developed by DigitalRates PC. It is designed to support forward-looking assessments of financial resilience and credit-related risk for business users. This notice is intended to help website visitors, prospective customers, and other stakeholders understand the role AI plays in the DigiScore offering.

1. Overview

   DigiScore uses statistical and machine learning methods to generate forward-looking assessments of financial resilience, structural strength, and credit-related risk. The system is intended to support analysis and decision-making by financial institutions, investors, and organizations evaluating businesses and related counterparties.

   DigiScore outputs are decision-support tools. They are not guarantees, promises of future performance, or substitutes for independent professional judgment.

2. Use of Artificial Intelligence

   DigiScore uses machine learning models to identify patterns, correlations, and relationships across multiple categories of data. The system generates composite outputs intended to reflect factors such as:

   • structural alignment and resilience
   • financial and operational dynamics
   • market positioning and performance signals
   • relative indicators of vulnerability or strength

   No single variable determines the outcome. Results are generated from the interaction of multiple factors within the model.

3. Purpose and Intended Use

   DigiScore is designed to:

   • support credit risk assessment and financial analysis
   • assist in identifying structural strengths and vulnerabilities
   • provide forward-looking insights into possible future performance
   • support benchmarking and monitoring in a business or institutional context

   DigiScore is not intended to be used as the sole basis for decisions that significantly affect individuals or organizations. Users should combine DigiScore outputs with other relevant information, internal controls, and human review.

4. Human Oversight

   DigiScore is designed to support — not replace — human decision-making. Users of the platform are responsible for reviewing outputs critically, considering additional qualitative and contextual information, and applying appropriate governance before taking action.

   Where applicable law requires safeguards against solely automated decision-making, users remain responsible for ensuring that final decisions include appropriate human oversight and review.

5. Data and Model Inputs

   DigiScore models may use a combination of structured and alternative data sources, including where relevant:

   • financial and accounting data
   • operational and structural indicators
   • sector and market benchmarks
   • business performance signals and related inputs

   The quality, accuracy, completeness, and timeliness of input data can materially affect model outputs. Inaccurate, incomplete, or outdated data may lead to less reliable results.

6. Limitations of AI-Based Scoring

   DigiScore provides probabilistic and model-based assessments. As with any AI system, outcomes are subject to limitations. In particular:

   • results are not guaranteed and should not be treated as certainties
   • changing economic or market conditions may affect predictive performance
   • unexpected events may reduce the usefulness of prior patterns
   • data limitations may influence outputs

   DigiScore should therefore be used as one component of a broader decision-making framework rather than as a standalone determinant of outcome.

7. Fairness and Bias Mitigation

   DigitalRates aims to develop AI systems that reduce unfair bias and improve consistency in analysis. Measures may include dataset review, performance monitoring, model evaluation, and iterative improvement of system design.

   No AI system can be guaranteed to be entirely free from bias or error. For that reason, DigiScore should be understood as bias-mitigated and risk-managed, not bias-free.

8. Transparency and Explainability

   DigiScore is intended to provide structured outputs that help users understand relevant dimensions of assessment, including scoring factors, comparative context, and high-level indicators of resilience or vulnerability.

   While the underlying models may be technically complex, DigitalRates seeks to provide meaningful explanations at an appropriate level for customers and stakeholders, taking into account the context of use and applicable legal requirements.

9. Responsibility for Use

   Users of DigiScore are responsible for how they interpret and use platform outputs. DigitalRates does not make lending, investment, underwriting, or other business decisions on behalf of users through this website.

   Any decision to grant, deny, price, structure, or monitor credit or other financial exposure should be based on appropriate internal review, applicable law, and the user's own policies and procedures.

10. Regulatory Alignment

    DigitalRates is committed to developing and operating AI systems with regard to applicable European legal and regulatory requirements, including transparency, accountability, and responsible use principles.

    This notice should be read together with our Privacy Policy, Cookie Policy, and Terms of Use.

11. Contact

    If you have questions about DigiScore, this AI Transparency notice, or our approach to responsible AI, you may contact us at info@digitalrates.ai.