Gear up for AI Regulations:
AI risk and compliance assessments driven by AI agents
Proactive, comprehensive AI assessments are crucial for future-proofing initiatives and staying competitive in a regulated landscape. A thorough process is essential to identify, track, and manage AI-related risks, ensuring effective compliance with regulations like the EU AI Act.
When Rapid Growth
Leads to Exponential Risks
We’ve identified and mapped over 1,600 AI risks sourced from AI regulations, industry standards, and scientific best practices.
The rapid advancement of AI technologies, including the proliferation of Large Language Models (LLMs) and intelligent agent tools, brings immense potential but also necessitates a heightened sense of responsibility.
Regulations and Compliance
staying ahead of regulatory compliance is not just about adherence; it’s about survival.
Legal Risk
AI regulations carry the potential for significant fines, as well as damage to reputation and trust.
Market Access
Affect a business’s ability to operate in certain markets, like the EU.
Business Risk
While AI promises significant business value, mismanagement or poor implementation can lead to substantial risks and financial losses.
AI Implementation
Implementation issues pose risks like high costs, low adoption, and inadequate oversight.
AI Governance
Crucial AI governance integrates policies and mitigates risks for responsible use.
Welcome
assessAI provides organizations with the tools to navigate the evolving AI landscape. Our platform offers in-depth assessments and a robust framework for tracking and managing AI risks at both organizational and system-specific levels. Designed for a responsible approach, it ensures compliance and fosters a secure AI ecosystem.
What You’ll Get
What We Cover
Standardization
Evaluating and ensuring consistency and uniformity across different AI systems and use cases.
Alignment with Business Needs
Ensuring AI models are up-to-date and aligned with changing business needs.
Operational Excellence
Evaluating each stage of the AI lifecycle to guarantee operational procedures are robust and adhere to regulation.
AI Assets Integrity
Assuring data quality and accuracy, as well as the accuracy of data sources and models.
Mitigations and Controls
Reviewing the design and implementation of current governance assurance and controls.
Legal and Ethical Issues
Ensuring responsible and fair practices such as data privacy, bias mitigation, and transparent communication.
assessAI Brochure
For more information regarding our assessAI product please review our brochure.
