Zenith Project — AI Policy

Effective as of March 24, 2026.

1. Introduction

Zenith Project LLC, a Florida limited liability company (“Provider,” “we,” “us,” or “our”), is committed to the responsible and transparent use of artificial intelligence (“AI”) within our platform. This AI Policy explains how we use AI in our Services, what data is processed by AI systems, the safeguards we have in place, and the controls available to you as a customer.

This policy is part of our commitment to building trust through transparency. We believe that AI is a powerful tool for enhancing human capabilities, but it must be used thoughtfully, with appropriate oversight and accountability.

This AI Policy applies to all users of the Services, including customers, navigators, and other authorized users. Capitalized terms not defined in this policy have the meanings given to them in our Terms of Service.

2. How We Use AI

Our Services incorporate AI to assist with LinkedIn outreach campaign workflows. AI is used as a tool to enhance — not replace — human judgment and decision-making. The following describes how AI is used within the platform:

2.1 Message Drafting

AI generates initial outreach message drafts based on the campaign parameters, contact information, and conversation context you provide. These drafts serve as starting points for human review and are never sent without explicit human approval.

2.2 Voicing and Tone Matching

AI applies tone-matching and voicing techniques to align generated messages with your communication style, brand voice, and campaign strategy. This includes adapting language, formality, and messaging approach based on voice profiles and style guidelines you configure.

2.3 Message Refinement

AI refines and improves message content based on conversation context, follow-up history, and your preferences. This may include adjusting message length, emphasis, call-to-action, and overall messaging strategy.

2.4 Approval Assistance

AI may provide suggestions or contextual information to navigators (human reviewers) within the approval queue to assist them in making informed approval decisions. These suggestions are advisory only and do not override or automate the approval process.

2.5 Analytics and Insights

AI may analyze campaign performance data, engagement patterns, and outreach outcomes to generate insights, identify trends, and surface recommendations for optimizing your outreach strategy.

3. Human Oversight

A core principle of our platform is that no AI-generated message is sent to a prospect without explicit human review and approval. Our navigator approval queue ensures meaningful human oversight at every stage of the outreach process.

3.1 The Navigator Approval Queue

Every AI-generated or AI-refined message passes through the navigator approval queue before it can be sent. Navigators — trained human reviewers — evaluate each message and make one of several decisions, including approving the message for sending, requesting a new AI generation, sending the message back for revision, marking it for manual handling, or rejecting it entirely.

3.2 No Autonomous Sending

AI does not autonomously send messages to prospects. The platform is designed so that a human must affirmatively approve each message before it is transmitted. This is a deliberate architectural decision, not merely a policy choice.

3.3 Customer Oversight

Customers retain full visibility into all AI-generated outputs through the platform's dashboards and approval workflows. Customers can review message drafts, approved messages, and conversation history at any time.

4. What Data Is Processed by AI

4.1 Data We Send to AI Systems

When AI features are used, we transmit certain Customer Data to third-party AI providers for processing. The categories of data that may be sent to AI providers include:

• Contact information. Names, professional titles, company names, and LinkedIn profile information of prospects and contacts.
• Conversation history. Prior messages, replies, and conversation context relevant to generating appropriate follow-up messages.
• Campaign parameters. Campaign configuration, outreach strategies, voice profiles, and style guidelines that inform message generation and refinement.
• Previously generated content. Prior AI-generated drafts and approved messages, used for context and consistency.

4.2 Data We Do Not Send to AI Systems

We do not transmit the following categories of data to AI providers:

• Account credentials. Your login credentials, passwords, or authentication tokens are never sent to AI systems.
• Payment and billing information. Credit card numbers, bank account details, and other financial information are never sent to AI systems.
• Platform API keys and internal identifiers. System-level credentials, API keys, service account keys, and internal infrastructure identifiers are never sent to AI systems.
• Third-Party Platform credentials. Any credentials you provide for Third-Party Platforms (such as LinkedIn) are never sent to AI systems.

4.3 Data Minimization

We follow a principle of data minimization when sending data to AI providers. We send only the data reasonably necessary to perform the specific AI task requested, and we do not send bulk or indiscriminate exports of Customer Data to AI systems.

5. Data Handling with AI Providers

5.1 Third-Party AI Providers

We use third-party AI providers, including Anthropic (the maker of Claude), to power the AI features of the Services. These providers process Customer Data solely to generate the outputs requested by our platform (such as message drafts and refinements).

5.2 Provider Data Policies

Our primary AI provider, Anthropic, maintains the following practices relevant to Customer Data:

• No model training. Anthropic does not use data submitted through its commercial API to train or improve its AI models.
• Data retention. Anthropic retains API inputs and outputs only for a limited period for trust and safety purposes, after which data is deleted.
• Security. Anthropic maintains industry-standard security measures to protect data processed through its API.

We select AI providers based in part on their data handling practices and require contractual commitments regarding the confidentiality and security of Customer Data.

5.3 Changes to AI Providers

We may change or add AI providers from time to time as part of our ongoing efforts to improve the Services. If we make a material change to our AI providers that would significantly affect how Customer Data is processed, we will update this AI Policy and notify customers in accordance with our standard notification practices.

6. AI-Generated Content

6.1 AI-Assisted, Not Autonomous

Messages produced by the AI features of the Services are AI-assisted, not fully autonomous. AI generates drafts and suggestions, but the final content that is sent to prospects is determined by human reviewers (navigators) who approve, modify, or reject AI outputs.

6.2 Customer Responsibility

As described in our Terms of Service, the Customer is responsible for the accuracy, content, and legality of all Customer Data and all messages sent through the Services, including messages that originate from AI-generated drafts. The approval process is designed to ensure that a human being reviews and takes responsibility for each outgoing message.

6.3 No Guarantee of Accuracy

AI-generated outputs are probabilistic in nature and may contain errors, inaccuracies, or content that does not fully reflect your intent. AI outputs should always be reviewed by a qualified human before use. We do not warrant or guarantee the accuracy, completeness, or suitability of any AI-generated content.

7. No Training on Customer Data

7.1 Our Commitment

We do not use Customer Data to train, fine-tune, or otherwise improve any AI or machine learning models, whether our own or those of third parties. Customer Data is processed by AI solely to produce outputs for your use within the Services (such as generating message drafts in response to your requests).

7.2 Third-Party Provider Commitments

We contractually require our AI providers not to use Customer Data submitted through our platform to train their models. Our primary AI provider, Anthropic, does not use commercial API data for model training. We monitor our AI providers' published data policies and will update this AI Policy if there are material changes.

7.3 Anonymized and Aggregated Data

Consistent with our Terms of Service and Privacy Policy, we may use anonymized and aggregated data that is non-personally identifiable to analyze, improve, and operate the Services. This may include aggregated usage patterns of AI features (such as the volume of messages generated or approval rates), but does not include identifiable Customer Data.

8. Customer Control

We believe you should have meaningful control over how AI is used with your data. The following controls are available to you:

8.1 Review of All AI Outputs

Every AI-generated message is visible in the approval queue and on your dashboards before it is sent. You and your navigators can review, edit, or reject any AI output.

8.2 Campaign Configuration

You control the campaign parameters, voice profiles, and strategy guidelines that inform how AI generates and refines messages. Adjusting these inputs directly affects AI outputs.

8.3 Navigator Authority

Navigators have full authority to approve, reject, modify, or override any AI-generated content. The AI's suggestions are advisory; the navigator's decision is final.

8.4 Data Deletion

You may request deletion of your Customer Data in accordance with our Privacy Policy and Terms of Service. Upon deletion, Customer Data will no longer be available for AI processing.

9. Accuracy and Limitations

9.1 AI Is Not Perfect

AI systems, including large language models, are inherently probabilistic. They may produce outputs that are:

• Inaccurate. AI may generate factually incorrect statements or misrepresent information about a contact, company, or topic.
• Incomplete. AI may omit relevant context or fail to address all aspects of a conversation.
• Inappropriate. AI may occasionally generate content that is off-tone, awkward, or not suitable for your specific outreach context.
• Biased. AI models may reflect biases present in their training data, which could manifest in the language, assumptions, or framing of generated messages.

9.2 Human Review Is Essential

Because of these inherent limitations, human review of AI-generated content is not merely a feature of our platform — it is a fundamental requirement. The navigator approval queue exists precisely because AI outputs require human judgment before they are suitable for sending to real people.

9.3 Reporting Issues

If you identify AI-generated content that appears to be biased, offensive, factually incorrect, or otherwise problematic, we encourage you to report it to us at [email protected]. We will review reported issues and, where appropriate, escalate them to our AI providers to help improve the quality of AI outputs.

10. Responsible AI Principles

Our approach to AI in the Services is guided by the following principles:

• Transparency. We are open about how and where AI is used within the platform and what data is processed by AI systems.
• Human oversight. We design our workflows so that humans remain in control of consequential decisions, particularly the decision to send a message to another person.
• Data minimization. We send only the data necessary for a given AI task and avoid indiscriminate or bulk sharing of Customer Data with AI providers.
• Privacy by design. We select AI providers with strong data handling practices and do not use Customer Data for model training.
• Accountability. We take responsibility for the AI features we build into our platform and the third-party providers we choose to integrate.
• Continuous improvement. We regularly review and update our AI practices as the technology, regulatory landscape, and best practices evolve.

11. Changes to AI Practices

We may update this AI Policy from time to time to reflect changes in our AI practices, the Services, or applicable laws and regulations. If we make material changes to how AI is used within the Services or how Customer Data is processed by AI systems, we will notify you by posting the updated AI Policy on our website with a new effective date and, where appropriate, by providing notice through the Services or via email.

We encourage you to review this AI Policy periodically to stay informed about our AI practices. Your continued use of the Services after the updated AI Policy becomes effective constitutes your acceptance of the updated AI Policy.

12. Contact Us

If you have any questions, concerns, or feedback regarding this AI Policy or our use of AI within the Services, please contact us at:

Zenith Project LLC
Email: [email protected]

13. Relationship to Other Policies

This AI Policy supplements and should be read together with our Terms of Service and Privacy Policy. In the event of a conflict between this AI Policy and the Terms of Service, the Terms of Service will control. In the event of a conflict between this AI Policy and the Privacy Policy with respect to data handling practices, the Privacy Policy will control.