Generate compliant transparency statements that inform users about your AI system
Per EU AI Act requirements for user disclosure
AI system name, version, provider organization, and deployment date
Intended purpose, use cases, and target user groups
What the AI system can do and its key features
Known limitations, restrictions, and inappropriate uses
How users can reach the provider for questions or concerns
Name: FinScore AI Credit Assessment System v2.3
Provider: Spring Software Financial Services Ltd.
Last Updated: January 15, 2026
This AI system assists in evaluating creditworthiness for consumer loan applications by analyzing financial history, income patterns, and risk factors. It provides recommendations to human underwriters who make final lending decisions.
Analyzes applicant financial data, predicts default probability (80-85% accuracy), identifies risk factors, and generates credit score recommendations. Processes applications in under 2 minutes.
May be less accurate for self-employed applicants or those with limited credit history. Cannot consider qualitative factors like character references. Requires human oversight for all final decisions. Not designed for commercial lending.
For questions or concerns: compliance@springsoftware.gi
Support: +350 200 12345
Report issues: www.springsoftware.com/ai-feedback
Transparency statements build trust between AI providers and users. They enable informed decision-making by clearly communicating what the AI does, how it works, and what its limitations are.
The EU AI Act mandates transparency for specific AI system categories, recognizing that users have a right to know when they're interacting with AI and understand its capabilities and constraints.
Beyond compliance, transparency demonstrates responsible AI practices, reduces liability by setting appropriate expectations, and improves user experience by preventing misuse or overreliance on AI systems.
Contact Spring Software to create compliant transparency statements tailored to your AI system and regulatory requirements.
Get Started with TransparencyCommon questions about AI transparency requirements
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