BetaNXT’s AI Governance Framework:
Committed to the Responsible & Ethical Use of AI

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The Opportunity—and the Obligation

Artificial intelligence (AI) holds significant promise for transforming financial services technology—enabling faster, smarter, and more personalized solutions for the firms and investors we serve. At BetaNXT, we are actively harnessing that potential across our platforms and products.

But innovation without good governance is neither sustainable nor desirable. The integration of AI introduces real risks: opaque decision-making, potential bias, data privacy exposure, cyber risks, and accountability gaps. As a trusted technology partner to the financial services industry, we take those risks seriously.

Our Guiding Principles

BetaNXT’s approach to the responsible and ethical use of AI is informed by globally recognized external standards, including the National Institute of Standards and Technology AI Risk Management Framework (NIST AI RMF) and ISO/IEC 42001. Our AI Governance Framework intends to establish structured oversight across the full AI lifecycle—from intake and design through deployment, monitoring, and retirement—and is built on these core principles that guide our development, deployment, and procurement of AI systems:

• Transparency & Explainability — We strive to maximize transparency so that users, clients, and other constituents are aware of when and how AI systems are used. We also strive to maximize explainability—meaning AI systems and their developers should be capable of articulating the rationale behind their outputs in a manner that is understandable to both technical and non-technical stakeholders. It is paramount to document each AI system’s purpose, data usage, model logic, and decision boundaries so that outputs can be explained clearly to stakeholders, clients, and regulators.
• Accountability, Accuracy, & Oversight — An enterprise AI Steering Committee provides strategic oversight across all AI initiatives, with cross-functional accountability. Human oversight is non-negotiable for all AI-driven processes, and every AI system at BetaNXT should have an assigned business owner. Human-in-the-loop validation and regular checkpoints are required at critical decision points to ensure accuracy, accountability, ethical compliance, and risk mitigation, and auditable records are maintained throughout the AI lifecycle.
• Privacy & Data Integrity — We apply privacy-by-design and security-by-design principles to AI systems. Data leveraged by AI is governed by BetaNXT’s information security policies, applicable privacy laws and obligations, and contractual requirements. We apply least-privilege principles and maintain traceable data provenance from source to output, to ensure that AI systems protect sensitive information throughout their lifecycle.
• Compliance & Ethical Alignment — Our governance practices are aligned with globally recognized standards, including the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 42001. We actively monitor evolving regulatory requirements, such as the EU AI Act, and update our controls accordingly.
• Continuous Improvement & Risk Management — We manage risk across the full AI lifecycle—from ideation and development through deployment, monitoring, and retirement. The enterprise risk management program includes capturing any potential AI risks and shares the same high level of review and scrutiny when it comes to regular reviews, changes, and emerging threats. AI systems are subject to ongoing evaluation for performance, fairness, and regulatory compliance. We use KPIs to measure governance effectiveness and adapt controls as technologies and threats evolve.
• Training & Literacy — Responsible AI depends on informed people. AI training and literacy are integrated into enterprise learning programs, with enhanced requirements for individuals supporting sensitive AI systems. Training addresses topics such as security risks, negative impacts of AI systems, trustworthy AI characteristics, AI-driven phishing campaigns, and other requirements.

A Foundation for Trusted Innovation

Responsible AI governance is not a constraint on innovation at BetaNXT—it is the foundation that makes sustainable, trustworthy innovation possible. By building accountability and ethics into every layer of how we develop and deploy AI, we aim to be the technology partner our clients can trust to get this right.