RESPONSIBLE AI USAGE: VALUES, FRAMEWORK, AND IMPLEMENTATION

ThriveAxis® treats AI as a trusted assistant that enhances our capabilities, productivity, and innovation while upholding the highest ethical standards. Our C.H.A.I.R. framework guides how we select, deploy, and manage AI so that our use remains ethical, transparent, and accountable across our organization.

Our Vision for AI

We envision a future where AI works alongside people to enhance human capabilities rather than replace them. Our AI tools are selected, deployed, and managed to ensure ethical, transparent use and accountability for their impact on the people we serve.

We see AI as a tool to augment, not replace, competent coaching, development, training, and support. Human judgment, creativity, and care remain central to everything we do.

The C.H.A.I.R. Framework

Our approach to responsible AI is guided by the C.H.A.I.R. framework, which shapes both how we use AI and how we integrate it into our work:

C – Clarify When to Use AI. We set clear boundaries for when and how AI is used in our work, so that it is deployed thoughtfully and stakeholders understand the collaborative nature of work produced with AI assistance. We take particular care to identify where AI can reduce bias and where human judgment must prevail.

H – Humanize How You'll Use AI. We use AI to enhance rather than replace human capabilities. Our AI-assisted work is reviewed to ensure it remains balanced, reflects diverse perspectives, and complements human expertise, and we are clear about how client data is handled.

A – Align With Your Organization. Our use of AI reflects our broader values and policies. By integrating AI into our existing commitments to openness, diversity, inclusion, security, accountability, and safety, we maintain consistent practices across the organization.

I – Integrate Into Your Workflow. We incorporate AI into our existing processes with clear documentation standards, quality review, and data security protocols. We protect work integrity by verifying key deliverables and providing clear guidance on when human expertise must supplement AI.

R – Realize Tangible Results. We evaluate how our responsible AI practices translate into real benefits, including stakeholder trust, work quality, and data security. Through ongoing review, we refine our approach to maximize the positive impact of AI.

Core Values and Guiding Principles

Drawing from leading frameworks in responsible AI, we commit to these values:

Transparency and Explainability

We aim for clear, understandable AI-assisted outputs.
We are open about relevant data sources and methods.
We let stakeholders know when and how AI contributes to work products.

Fairness and Inclusiveness

We use AI in ways designed to avoid bias and promote diversity.
We work to ensure the benefits of AI are shared across our organization.
We review AI-assisted output for unintended bias.

Privacy and Security

We protect personal and sensitive information in all AI-assisted work.
We follow our governance and risk management policy to guard against unauthorized access to or use of data.
We apply our existing security standards to all AI-assisted processes.

Accountability and Governance

We take full responsibility for the outputs produced with AI assistance.
We maintain oversight and quality review.
We work to ensure our AI use stays within ethical and legal standards.

Robustness and Safety

We use AI in ways intended to ensure reliable performance across contexts.
We set boundaries to prevent potential harm.
We prioritize human welfare in all our AI use.

How We Protect Client Information

Because we work with sensitive client and organizational information, we hold ourselves to clear commitments:

We do not input confidential client information into public or consumer AI tools.
We do not permit client data to be used to train third-party AI models.
Where AI tools are used in our work, we favor business-grade tools with appropriate data protections over consumer tools that may retain or reuse inputs.
When using AI for general resources, we work from anonymized or non-client-specific examples.

Human Review and Accuracy

AI can produce errors or content that requires judgment to interpret. For that reason:

A qualified member of our team reviews AI-assisted work before it is shared with a client.
We verify the factual accuracy of AI-assisted materials before relying on them.
We will let clients know when AI has materially contributed to their deliverables.
Human expertise remains the final authority on all coaching and development recommendations.

Commitment to Value Creation

Our responsible approach to AI is intended to deliver real benefits:

Enhanced Trust: Our transparency builds confidence among stakeholders.
Increased Productivity: AI helps us improve the quality and efficiency of our work.
Better Decision-Making: Our balanced approach ensures AI supports, rather than drives, sound outcomes.
Organizational Alignment: Our consistent framework keeps AI in service of our mission and values.
Sustainable Growth: Our responsible practices create long-term value while minimizing risk.

Implementation Principles

To put our values into practice, we commit to:

Ongoing Guidance: Helping our team understand how to work effectively and responsibly with AI.
Regular Evaluation: Assessing AI's contributions against our ethical standards and business objectives.
Adaptive Governance: Evolving our practices as AI capabilities and regulations change, informed by recognized standards such as the NIST AI Risk Management Framework.
Stakeholder Inclusion: Involving diverse perspectives in shaping our AI practices.
Balanced Innovation: Pursuing advancement while maintaining clear ethical guardrails.

Governance and Risk Management

Our AI Governance and Risk Management Policy provides detailed guidance on tool selection, data handling, verification, and oversight. It is available on request.

Frequently Asked Questions

How does your organization use AI? We use AI as an assistant to enhance our capabilities, productivity, and innovation. Our AI use is designed to augment human expertise, not replace it, and is guided by our C.H.A.I.R. framework and our core values of transparency, fairness, privacy, accountability, and safety.

Is AI replacing human judgment at ThriveAxis®? No. We treat AI as a tool to augment, not replace, competent coaching, development, training, and support. Human judgment, creativity, and ethical consideration remain central to our work, and we set clear protocols for when human expertise must supplement AI.

How do you ensure AI outputs are fair and unbiased? We use AI in ways designed to avoid bias and promote diversity, and we review AI-assisted work to keep it balanced and reflective of diverse perspectives. We also involve diverse perspectives in shaping our practices.

How is client data protected when using AI? We do not input confidential client information into public or consumer AI tools, and we do not permit client data to be used to train third-party AI models. We favor business-grade tools with appropriate protections, apply our existing security standards, and follow our governance and risk management policy.

Does a human review AI-assisted work? Yes. A qualified member of our team reviews AI-assisted work before it is shared with clients, and human expertise remains the final authority on all coaching and development recommendations.

How do you keep up with a changing AI landscape? We evolve our practices as AI capabilities and regulations change, informed by recognized standards such as the NIST AI Risk Management Framework, and we regularly review our governance policy.

Effective: July 1, 2024

Last Updated: July 1, 2026