窪蹋勛圖厙

窪蹋勛圖厙 Integrations and Model Development Policy

Last updated:
7/21/2026

Use of Google Workspace APIs and AI/ML Model Development Policy

Compliance with Google Workspace API Usage: 窪蹋勛圖厙 affirms that the Google Workspace APIs accessed through the Services are not used for developing, improving, or training generalized artificial intelligence (AI) or machine learning (ML) models.

Purpose of API Usage: 窪蹋勛圖厙s use of Google Workspace APIs is strictly limited to enhancing the user experience and functionality of our Services as explicitly described in our service documentation and does not extend to any form of AI or ML model training.

Data Handling and Processing: All data accessed via Google Workspace APIs is processed in accordance with 窪蹋勛圖厙s privacy policy, strictly adhering to the intended purpose as specified and not for the training of generalized AI or ML technologies.

Restrictions on Data Use: 窪蹋勛圖厙 ensures that no data obtained from Google Workspace APIs will be used to train, calibrate, or improve the capabilities of AI or ML algorithms or models.

Transparency and Disclosure: 窪蹋勛圖厙 is committed to maintaining full transparency about our use of data obtained from Google Workspace APIs and will continuously provide clear disclosures about the specific purposes for which this data is used.

Privacy and Security Measures: Robust privacy and security measures are implemented to protect the data accessed via Google Workspace APIs, ensuring it is handled in compliance with all applicable laws and regulations, including GDPR, CRPA, and others.

Third-Party Data Sharing and Access: There is no sharing of data obtained through Google Workspace APIs with any third parties for the purpose of AI or ML model training.

AI Assistant Connectors

窪蹋勛圖厙 offers connectors that let an authorized 窪蹋勛圖厙 user link their 窪蹋勛圖厙 account to a third-party AI assistant they have chosen (for example, Anthropics Claude) (each, an AI Assistant). Once connected, the user can ask the AI Assistant questions, and the AI Assistant can retrieve 窪蹋勛圖厙 content the user already has permission to access, such as Speks, topic content, and deal room information, and bring it into the users conversation with that AI Assistant. This section describes how data is handled when a user enables and uses an AI Assistant connector. The AI Assistant is a Third-Party Service the user selects and controls; it is not a 窪蹋勛圖厙 service provider or sub-processor, and the users use of the AI Assistant is governed by that providers own terms and privacy policy.

Data collection

Authentication credential. When a user connects an AI Assistant, 窪蹋勛圖厙 uses a standard authorization (OAuth) flow. The user authenticates as themselves and the AI Assistant receives a temporary access credential scoped to that users existing 窪蹋勛圖厙 permissions. No separate password or persistent credential is created, and nothing new is stored about the user as a result of connecting.

Requests. When the user asks the AI Assistant a question, the request is transmitted through the connector to 窪蹋勛圖厙s backend using the users credential, exactly as if the user had made the request in the 窪蹋勛圖厙 web app or browser extension.

Content retrieved. 窪蹋勛圖厙 returns only the content the user is permitted to access under the same role and permission rules that apply in the 窪蹋勛圖厙 application.

Operational metadata. The connector logs limited operational metadata for debugging and security (for example, which tool was called, success or failure, and timing). The connector does not log the content of the questions asked or the answers returned.

Use and storage

The access credential is used solely to authenticate and authorize the users requests to 窪蹋勛圖厙; the same permission rules are enforced as in the 窪蹋勛圖厙 application.

窪蹋勛圖厙 does not store the content of requests or the content returned to the AI Assistant through the connector.

Operational metadata is stored for debugging, security, and service-reliability purposes.

窪蹋勛圖厙 does not use data accessed through the connector to train, calibrate, or improve generalized AI or ML models.

Third-party sharing

At the users direction, the 窪蹋勛圖厙 content responsive to the users request is transmitted to the AI Assistant the user has connected. Once that content reaches the AI Assistant, it is handled under the AI Assistant providers own terms and privacy practices, including any retention or model-training practices, which 窪蹋勛圖厙 does not control or monitor.

窪蹋勛圖厙 does not sell this content and does not share it with any other third party for advertising or AI/ML model-training purposes. The connector service operates on 窪蹋勛圖厙s infrastructure and any subprocessors are governed by the Data Processing Agreement between 窪蹋勛圖厙 and Customer.

Data retention

The access credential is temporary and is revoked when the user disconnects the AI Assistant or the credential expires under the applicable OAuth lifecycle. The validity period for access credentials is limited to 24 hours, while the lifespan of refresh credentials extends to a 30-day duration.

Request and response content is not retained by the connector.

System logs are maintained for a period of 100 days, while performance traces are kept for 7 days and operational metrics are stored for a duration of 180 days.

Your choices and control

Enabling an AI Assistant connector is optional and user-initiated. A user (or their administrator, subject to account settings) may disconnect the AI Assistant at any time, which revokes the connectors access. Access is always limited to the content the user is already permitted to see in 窪蹋勛圖厙.

Contact

If you have questions about this disclosure or how data is handled through an AI Assistant connector, contact 窪蹋勛圖厙 at privacy@spekit.com, or 窪蹋勛圖厙 Inc., 3301 Lawrence Street Suite #1, Denver, CO 80205.

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