AI Solution Review
Independent technical review of AI solutions for trustworthiness, fairness, and regulatory alignment. The review evaluates datasets, models, decision logic, and operational controls against EU AI Act requirements and ethical AI principles.
AI Solution Review is an independent technical assessment of an AI system's design, data practices, model behaviour, and operational controls. The review evaluates whether the solution meets the principles of trustworthiness, fairness, transparency, and accountability as defined by the EU AI Act and recognised ethical AI frameworks. It is designed for organisations that develop, procure, or deploy AI systems and need an objective evaluation before production release, during procurement due diligence, or as part of ongoing governance.
What are the results of this service?
The review produces a detailed assessment report covering the AI system's architecture, training data provenance and quality, model performance and bias characteristics, explainability mechanisms, and human oversight provisions. Each area is evaluated against specific AI Act requirements applicable to the system's risk classification, as well as relevant technical standards including ISO/IEC 42001 and ISO/IEC 23894 for AI risk management.
Data governance findings address training data representativeness, labelling quality, potential sources of bias, and data lifecycle management practices. Model evaluation covers accuracy, robustness, and fairness metrics across relevant demographic and operational dimensions. The report identifies gaps between current implementation and regulatory expectations, with each finding classified by severity and accompanied by a specific remediation recommendation. Organisations receive an executive summary suitable for board-level reporting alongside a technical appendix with detailed evidence and test results.
How does this service help you?
CTOs and engineering teams receive an objective assessment of their AI system before regulatory scrutiny, enabling proactive remediation of technical gaps. Product teams gain clarity on whether a system meets the threshold for high-risk classification and what additional controls may be required. Procurement and vendor management teams use the review to evaluate third-party AI solutions before integration, ensuring compliance obligations are understood and allocated. Compliance officers receive documented evidence of due diligence in AI system evaluation that supports regulatory reporting and audit readiness. Up Secure conducts the review by combining AI engineering expertise with regulatory knowledge, providing assessments that are technically rigorous and legally informed.
Who Can Benefit
- CTOs and technical leaders driving secure system architecture at scale
- Engineering teams embedding security and privacy into development lifecycle
- Teams building products in regulated industries or processing sensitive data
- Web and Software Developers building secure and compliant applications
Given personas represent the most likely beneficiaries of the service based on common roles and responsibilities. However, others outside this list may also find value depending on their involvement in privacy, security, or compliance-related initiatives.