RevSure's Use of Google Gemini LLM Models

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Legal and Customer Usage Compliance

RevSure integrates Gemini models into its Full Funnel AI system as part of its Reli Assist and Reli Copilot offerings to provide marketing, sales development, and sales teams with actionable insights, recommendations, and automated actions. This document outlines how RevSure utilizes Gemini models while ensuring compliance with customer usage terms and legal requirements.

Note: Customers can disable the Reli Assist and Reli Copilot offerings. If disabled, RevSure will not utilize Gemini LLM models.

Role of Gemini Models in RevSure

RevSure leverages Gemini models to

Summarize insights and data
Provide recommendations

Google Gemini Compliance and Data Protection Framework

Google's Gemini AI platform demonstrates rigorous alignment with the General Data Protection Regulation (GDPR) and other global regulatory mandates by embedding comprehensive safeguards across its architecture. Key protective measures include:

Guardrails on Prompt and Response Usage

For enterprise customers leveraging Gemini via Google Cloud, Google enforces stringent data usage guardrails: user-generated prompts and AI-generated responses are explicitly excluded from model training. This strategic exclusion serves as a privacy-preserving control, ensuring that enterprise data remains compartmentalized and protected from being repurposed for model optimization.

Data Encryption Protocols

All data ingested and processed by Gemini models is protected with robust encryption, both in transit and at rest. This cryptographic standard provides a core layer of defense, mitigating the risks of interception or unauthorized data exposure during processing and storage.

Access Controls and Identity Safeguards

Gemini employs fine-grained access control policies and robust authentication mechanisms to enforce least-privilege principles. This approach minimizes the potential for unauthorized access, ensuring that interactions with Gemini models are tightly regulated, traceable, and auditable.

Regulatory Adherence and Governance

Gemini operates within the framework of Google’s mature data governance ecosystem, maintaining compliance with globally recognized standards, including GDPR, CCPA, and ISO/IEC 27001. These certifications underscore Google’s commitment to responsible AI development—with practices that mask sensitive data, uphold user privacy, and mitigate compliance risks at every stage of the AI lifecycle.

For Further Details:

RevSure Legal Compliance and Customer Usage Terms

RevSure ensures that all applications of Gemini models adhere to the following core principles:

Data Privacy Regulations: Full compliance with GDPR, CCPA, and other applicable data protection laws.
Customer Agreements: Strict adherence to data usage policies as outlined in customer contracts and service agreements.
Transparency and Explainability: Clear disclosures on AI-driven recommendations and the methodologies behind them to ensure accountability and trust.
Security and Access Control: Implementation of strong encryption standards and access management protocols to safeguard customer data.

RevSure-Specific Data Usage, Model Usage, and Guardrails

RevSure does not use customer-provided data to retrain Gemini LLM models.
RevSure has opted out of Google Gemini's automated detection and conditional prompt logging to further protect the privacy and confidentiality of customer data.
All AI-generated outputs undergo validation to maintain accuracy and prevent unintended biases.
The RevSure GTM Data Model ensures AI recommendations are based on structured, compliant, and non-sensitive data.
Limited Data Usage
- Only non-sensitive PII (e.g., lead name, work email, company name) is used to provide requested services and any additional scopes when authorized by the customer as part of the MSA.
- RevSure uses Gemini LLMs only for the data necessary to perform specific tasks.
- RevSure supports the configuration of masking any PII data before sending it to GenAI tools. Therefore, RevSure can guarantee that GenAI does not have access to your PII.
- Tenants can choose to disable the transmission of sensitive information to the AI.

Note: Disabling these fields will exclude them from the context shared with the AI, which may impact the personalization and accuracy of responses.

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Data Sent from RevSure to Gemini

RevSure ensures that only relevant, non-sensitive data is transmitted to Gemini models to generate insights and recommendations. The data sent is only in the form of prompts and context. The types of data transmitted include:

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Aggregated Data: Aggregated KPIs and calculations derived from the GTM data.
Structured Metadata: High-level campaign, channel, region, lead attributes, account attributes, pipeline, and revenue-related metadata aiding in recommendation accuracy.
Behavioral Patterns: Non-personally identifiable behavioral trends related to GTM activities (e.g., website visits, whitepaper downloads) to improve contextual recommendations.
Pre-Processed Non-Sensitive PII Data: Filtered, structured, and transformed data—ensuring compliance with privacy laws before processing. This includes:
- Customer Journey Information: Aggregated, non-sensitive insights into lead progression through the GTM funnel
- Lead Data: High-level lead attributes and activity data without sensitive PII
- Account Data: Non-sensitive, structured account-level insights relevant to pipeline forecasting and revenue intelligence
Data Exclusions Based on Customer Authorization: No sensitive personally identifiable information (PII), confidential business information, or proprietary customer data is transmitted unless explicitly authorized by the customer.

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Customer Control and AI Governance

Customers retain control over how AI-driven insights are applied within their GTM workflows.
RevSure provides documentation on AI-generated outputs and allows customers to opt out of specific AI automation features.
Continuous monitoring ensures Gemini-based insights align with customer objectives and compliance requirements.

RevSure's integration of Gemini models enhances GTM decision-making while strictly adhering to legal frameworks and terms for customer data usage. Through transparent AI governance, robust security, and compliance with industry standards, RevSure ensures responsible AI deployment for revenue intelligence and marketing analytics.

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