Last updated October 28, 2026

Introduction

At HarvestROI, we recognize the transformative potential of artificial intelligence (AI) to enhance how we operate our business and deliver for our clients.

This doctrine is the guiding framework for how HarvestROI adopts, integrates, and uses AI responsibly across internal operations, marketing, and client services. It reflects our commitment to aligning AI use with several of our core values (Quality, Integrity & Transparency, Collaboration, Diversity of Thought, and Hunger for Knowledge) while keeping human ingenuity and human judgment at the center of our work. Our approach is human in the loop by design.

AI Philosophy

• AI as an Enabler, Not a Replacement: AI amplifies our creativity, expertise, and efficiency. It does not substitute for the skills and perspectives of our team.

• Commitment to Responsible Use: We use AI ethically, transparently, and securely, in line with our internal standards, our Information Security Policy (available on request), and our clients’ expectations.

• Continuous Learning: We treat AI as part of our culture of innovation, encouraging exploration and experimentation to stay ahead of industry trends.

• Large to Small, Not Small to Large: AI excels at distilling large volumes of content: summarizing, categorizing, or compressing information into digestible formats. We approach AI-generated expansion of limited inputs with caution. Like scaling a low-resolution image to billboard size, asking AI to extrapolate from minimal context risks inaccuracies and “intent drift” away from the original objective. We apply additional diligence whenever AI is used to scale small ideas or fragments into comprehensive deliverables.

By approaching AI as a partner, not a replacement, we keep our work deeply human, distinctly creative, and aligned to the outcomes our clients care about most.

AI in Practice

How We Use AI

We integrate AI into our internal operations, marketing, and client service workflows to enhance productivity and creativity, while maintaining rigorous human oversight. Examples include:

• Content Ideation and Drafting: AI supports brainstorming, generating drafts, and editing of blog posts, social media content, and email campaigns.

• Data Analysis and Insights: AI identifies patterns, trends, and opportunities in business and marketing data to inform strategy.

• Personalization: AI tailors content and messaging to specific audiences for more pertinent and valuable communication.

• Knowledge Management: AI helps structure and retrieve internal documentation, playbooks, and collateral across platforms to reduce redundant work and improve cross-team visibility.

• Research and Summarization: AI helps distill large volumes of documents, notes, and call transcripts into clear summaries that our team then verifies and builds on.

• Technical and Development Support: AI accelerates troubleshooting, scripting, and documentation for integrations and system work, with all output reviewed and tested by our team before use.

• Documentation and Training Materials: AI helps draft and refine process documentation, guides, and training content for team review.

How We Don’t Use AI

To maintain quality, security, and trust, we avoid the following:

• Raw AI Outputs: AI-generated content is never used as-is. Every output undergoes human-in-the-loop review and refinement to meet our high standards.

• Sensitive Data: We do not enter sensitive data, personally identifiable information (PII), or protected health information (PHI) into AI tools.

• Confidential Client Data: AI is not used to handle any client data without thorough discussion, explicit safeguards, and appropriate authorization.

• Final Deliverables: AI does not create final deliverables without significant human input and approval.

Guiding Principles

• Quality and Human Oversight: AI is used to raise the standard of our work, never to trade quality for speed. It augments the strategic, technical, and creative judgment of our team without replacing it, and a human is accountable for every output.

• Transparency: We disclose AI’s role in deliverables when relevant and obtain client approval where that role is significant, so clients understand how AI enhances their projects.

• Data Integrity: Clean, accurate data is the foundation of effective AI use. We prioritize maintaining high-quality CRM and content repositories.

Employee Development

• Training and Support: We provide ongoing training to help team members effectively and safely integrate AI into their workflows.

• Encouraging Exploration: Team members are encouraged to experiment with AI tools within our security guidelines, share insights, and celebrate innovative use cases.

• Prompt Engineering Fundamentals: Team members are encouraged to learn and share prompt design strategies to get the most accurate, creative, and usable outputs.

• Knowledge Sharing: Regular team discussions foster a collaborative approach to AI adoption, ensuring everyone benefits from shared learnings.

Client Communication

• Auditability: We maintain appropriate records of AI-supported work to ensure accountability and transparency.

• Building Trust: We position AI as a value-add, demonstrating how it enhances efficiency, quality, and results for our clients.

Ethical Considerations

• Privacy and Security: We adhere to strict data privacy and security standards, ensuring compliance with regulations like GDPR and CCPA. More specific controls governing data handling are set out in our Information Security Policy, available on request.

• Vetted Tools: AI tools are vetted and approved before they are used in our work.

• No Model Training on Client Data: Client data is not used to train AI models.

• Responsible Experimentation: We balance innovation with caution, ensuring new AI use cases align with our values, our security policy, and client expectations.

Looking Ahead

As AI technology evolves, we remain committed to staying at the forefront of innovation while upholding our values. Our approach to AI will continue to adapt, ensuring it serves as a catalyst for quality, efficiency, and meaningful results.

We will regularly revisit and revise this doctrine, ensuring it evolves in tandem with AI capabilities, ethical standards, and our clients’ evolving expectations.

Takeaway

AI is a powerful ally across HarvestROI, enabling us to focus on strategic, technical, and creative work while automating routine tasks. By embracing AI responsibly and collaboratively, with people in the loop and quality as our standard, we empower our team to deliver exceptional results for our clients and drive continuous improvement in everything we do.