Wise Raven Consulting
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Responsible AI Policy

Last updated: February 2026

Wise Raven Consulting LLC (“we,” “us,” “our”) uses artificial intelligence (AI) to enhance the work we do for our clients across strategy, marketing, web development, SEO, and LLM SEO. Our commitment is to use AI in ways that are safe, ethical, privacy‑preserving, and aligned with our clients’ best interests.

1. Purpose of AI in Our Work

We use AI to improve efficiency, generate ideas, and uncover insights—not to replace human expertise. Typical uses include research support, drafting and refining non‑confidential content, identifying trends in anonymized data, and assisting with technical problem‑solving, coding, and design. All strategic and client‑facing decisions remain under human control.

2. Protection of Client Data

Protecting client data is central to our AI approach:

  • We do not place confidential, proprietary, or personally identifiable client information into public or consumer AI tools.

  • When we use AI‑enabled tools from vendors, we look for clear data‑handling terms, strong security, and options that prevent our data from being used to train public models whenever possible.

  • Access to client data is limited to authorized team members who need it for their work, and we use reasonable technical and organizational safeguards to protect that data.​

If a client has stricter data‑handling requirements (e.g., regulatory or contractual), we will follow those requirements and can disable AI use where necessary.

3. Human Oversight and Accountability

AI never operates on its own in our client work:

  • AI outputs are reviewed, edited, and approved by our team before being used in deliverables or recommendations.

  • Our consultants are accountable for the quality, accuracy, and impact of any work that involves AI assistance.

  • We do not rely on AI for legal, financial, or similarly high‑risk advice without appropriate human and, where needed, professional review.

4. Fairness, Bias, and Content Quality

We recognize that AI systems can reflect and amplify biases present in their training data.

To mitigate this:

  • We critically evaluate AI‑generated content and insights for fairness, accuracy, and potential bias, especially in areas like audience targeting, messaging, and hiring‑related content.​

  • We avoid using AI to create misleading, deceptive, or harmful content and will correct or discard outputs that do not meet our standards.​

  • We continuously refine our prompts, workflows, and review processes to reduce bias and improve quality over time.

5. Transparency With Clients

We aim to be clear and open about how we use AI:

  • We can explain where and how AI supports a project (for example, in brainstorming, drafting, or analysis) and where human experts remain directly responsible.

  • Upon request, we will describe which categories of tools are used, how data flows through them, and what protections are in place.

  • If a client prefers minimal or no AI involvement in an engagement, we will design processes that respect that preference.

6. Tool Selection and Governance

We manage AI tools thoughtfully rather than using “whatever is available”:

  • We review AI vendors for security posture, privacy commitments, data‑use policies, and alignment with relevant regulations and industry standards.

  • We favor tools that allow data segregation, access control, logging, and the ability to opt out of model training on our data when possible.​

  • We periodically reassess tools as they evolve; if risk increases or terms change in ways that conflict with this policy, we adjust or discontinue use.

7. Compliance and Evolving Standards

Responsible AI is an evolving area, influenced by new laws, regulations, and industry standards.

  • We monitor emerging frameworks and guidance around AI, privacy, and data protection, and we update our internal practices accordingly.​

  • Where applicable, we aim to align with widely recognized principles of trustworthy AI: fairness, reliability, safety, privacy and security, inclusiveness, transparency, and accountability.

8. Training and Internal Use

Our team receives ongoing guidance on safe and appropriate AI use:

  • We provide internal training on this policy, acceptable AI use cases, and the risks of sharing sensitive or identifying information with AI tools.

  • We encourage team members to question AI outputs, escalate concerns, and suggest improvements to our AI practices.

9. Client Choices and Questions

Clients always have a say in how AI is used on their projects:

  • We can limit or exclude AI from specific deliverables or workflows upon request.

  • We will collaborate with clients who have their own AI or data‑governance policies to ensure alignment.​

  • Clients may contact us at any time with questions about this policy or to request clarification on how AI is being used in their engagement.

10. Contact

If you have questions about this Responsible AI Policy or how Wise Raven Consulting LLC uses AI, please contact via our website’s contact form.