AI Policy

Effective Date: 12 October 2026
Last Updated: 12 October 2026
Company: SEINō B.V., Randstad 22-15, 1316 BN Almere, The Netherlands
Contact: legal@seino.ai

At SEINō, we believe AI can help CRM teams better understand their performance, discover opportunities and make more informed decisions. We use AI to make data easier to explore and understand, while keeping our customers in control of their information.

This policy explains how AI is used within SEINō, how customer data is handled, and what happens when customers connect SEINō to external AI applications.

Our approach is built around transparency, security and responsible use of AI.

1. How We Use AI

SEINō combines traditional data analytics with optional AI-powered functionality.

Our standard analytics, dashboards and performance metrics are calculated using established data processing and statistical methods. AI does not replace or determine these underlying calculations.

AI is used to help customers interpret and explore their data, for example by:

Answering questions about campaign and CRM performance.
Identifying trends and unusual changes in performance.
Highlighting results that may require attention.
Generating summaries and explanations of performance data.
Helping users explore their data through natural language.

AI-generated insights are intended to support human decision-making, not replace it.

AI-generated responses may be incomplete or inaccurate. Customers should review important findings before making business decisions.

2. AI Features Within SEINō

SEINō offers AI-powered features such as AI Insights and Scheduled Insights.

These features help customers understand their performance without manually analyzing large amounts of data.

When customers use these features, relevant data may be processed by an AI model to generate a response or insight.

We follow these principles:

Optional: AI functionality is not required to use SEINō's standard analytics features.
Transparent: AI-generated content is distinguishable from traditional analytics.
Data minimization: We aim to share only the information necessary to fulfill the requested analysis.
Human control: Customers remain responsible for reviewing and interpreting AI-generated insights.
Purpose limitation: Customer data processed through our AI features is used to provide the requested functionality, not to train AI models.

Where possible, AI features work with aggregated performance data rather than individual customer or subscriber information.

3. Connecting External AI Applications Through MCP

SEINō provides a Model Context Protocol (MCP) Server that allows customers to connect their SEINō workspace to compatible external AI applications, such as Claude and other MCP-compatible tools.

The MCP Server enables these applications to access supported SEINō analytics data, allowing customers to ask questions, explore performance and generate insights using their preferred AI tools.

How it works

Customers choose whether to connect an external AI application.
Connections require authentication and authorization.
The MCP Server provides access to supported data and functionality within SEINō.
The connected application may request information from SEINō to answer questions or perform analyses.
The external AI application processes the information according to its own functionality, terms and privacy practices.

SEINō provides the connection and access to analytics data but does not control the AI models operated by independent third-party applications.

Data shared with external applications

When a customer uses the MCP Server, information retrieved from SEINō may be transmitted to the connected AI application.

Depending on the requested analysis, this information may include campaign performance, aggregated metrics, dimensions and other supported analytics data.

Once information has been transferred to an external AI provider, its processing, storage and retention are governed by that provider's applicable terms and privacy policies.

SEINō does not determine whether external AI providers use information for model training. Customers should review the terms and settings of their selected AI provider before connecting it to SEINō.

Customer responsibility

Customers are responsible for:

Choosing which external AI applications to connect.
Reviewing the privacy and data processing terms of those applications.
Ensuring that connected applications meet their organization's security and compliance requirements.
Managing access to their external AI accounts and connections.
Reviewing AI-generated outputs before relying on them for important decisions.

Using the MCP Server is optional and does not affect standard SEINō functionality.

4. Customer Data and AI Model Training

We respect the confidentiality and ownership of our customers' data.

SEINō does not use customer data to train or fine-tune AI models without explicit customer authorization.

This applies to data processed through SEINō's own AI-powered features.

For development and testing, we primarily use:

Synthetic data.
Anonymized data.
Internal demonstration datasets.

Production customer data is not used for AI model training or development testing without explicit customer permission.

When customers connect external AI applications through the MCP Server, the data practices of those providers are governed by their own agreements and policies.

SEINō cannot guarantee how independently selected third-party AI providers use data after receiving it.

5. Security and Data Protection

Protecting customer data is a core part of how we develop and operate SEINō.

We apply security measures designed to protect data processed within our platform, including:

Encryption of data in transit and at rest.
Authentication and access controls.
Restricted access to internal systems.
Separation of development and production environments.
Data minimization when providing information to AI services.
Controls designed to prevent unauthorized access to customer workspaces.

Our AI functionality is designed to operate within the security and privacy framework of the SEINō platform.

When customers connect external AI applications through the MCP Server, the security and data protection practices of those external providers also apply.

SEINō is responsible for protecting data within its own systems and for implementing appropriate safeguards when making data available through its services. Customers are responsible for assessing the external applications they choose to connect.

6. AI Providers and Subprocessors

SEINō uses selected third-party AI providers to support AI functionality within our platform.

These providers process data on behalf of SEINō under applicable contractual and data protection arrangements.

Our AI providers include:

Google Gemini: Used to support selected AI-powered features within SEINō.

Where applicable, these providers are included in our subprocessor documentation.

External AI applications connected through MCP

AI applications independently selected and connected by customers through the MCP Server are different from AI subprocessors engaged directly by SEINō.

For example, when a customer connects Claude to SEINō through the MCP Server, Anthropic is not automatically acting as a subprocessor of SEINō.

Instead, the relationship between the customer and the external AI provider is governed by their applicable agreements.

Customers should review the relevant terms, privacy policies and data processing arrangements of any external AI provider they connect.

7. AI Transparency and Limitations

AI can help identify patterns, explain results and make analytics more accessible, but AI-generated content is not always accurate.

AI responses may contain errors, incomplete explanations or incorrect interpretations.

We therefore distinguish between:

Analytics data: Metrics and calculations generated by SEINō's standard data processing systems.
AI-generated insights: Explanations, summaries, interpretations or recommendations generated using AI models.

AI-generated insights are intended to assist users and should not be treated as independently verified facts.

Customers remain responsible for reviewing AI-generated content and deciding how to use it.

SEINō does not use its AI features to make automated decisions that produce legal or similarly significant effects on individuals.

8. Responsible AI and Regulatory Compliance

We aim to develop and operate AI functionality responsibly and in accordance with applicable European regulations, including the General Data Protection Regulation (GDPR) and the EU AI Act.

Our approach focuses on:

Transparency about when and how AI is used.
Protecting customer data and privacy.
Maintaining appropriate security measures.
Supporting human oversight of AI-generated results.
Limiting unnecessary processing of personal data.
Reviewing AI functionality as technologies and regulations evolve.

We assess our AI features based on their intended purpose and applicable regulatory requirements.

We also encourage customers to evaluate the compliance requirements of external AI applications they connect through the MCP Server.

9. Changes to This Policy

AI technology continues to evolve, and we regularly review how it is used within SEINō.

We may update this policy when:

New AI-powered functionality becomes available.
We introduce new AI providers or integrations.
The way AI processes customer data changes.
Applicable regulations or compliance requirements change.

The latest version of this policy will always be available on our website.

Where changes materially affect how customer data is processed, we will provide appropriate notice in accordance with our contractual and legal obligations.

10. Questions and Contact

We believe customers should understand how their data is used and remain in control of their AI integrations.

If you have questions about AI, data protection or the MCP Server, please contact us:

Privacy: privacy@seino.ai
Security: security@seino.ai
Legal: legal@seino.ai