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Teamgate

Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 21 Feb 2026

E+
AITS IA

AI Trust Summary

AI Training
Possibly (generic mention of service improvement)
Data Retention
Not specified in documentation
Opt-out
Only generic controls (cookies, ads)
AIPrivacy
E+
BasePrivacy
A+
  • Regarding AI: it does not mention the explainability of automated decisions, which can generate distrust regarding data usage.
  • Regarding Core Privacy: it defines exact retention periods, facilitating compliance with data protection regulations.

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Attention Points in AI (3)

AI criteria that require attention. Buy the Premium Analysis to see all 3 criteria.

  • Teamgate
  • Does not address the retention of AI inputs/outputs, creating uncertainties about contact data management.
  • Does not document the explainability of automated decisions, which can affect trust in data processing.
  • It is necessary to demand clauses that ensure greater transparency regarding the use of AI.

AI data retention (prompts and responses) is not disclosed

The policy does not specifically address the retention of AI inputs/outputs, which can create uncertainties about contact data management.

Use of artificial intelligence is not disclosed in policies

The policy does not mention the use of artificial intelligence in the software's functionalities, which limits transparency regarding contact data processing.

Automated AI decisions have no explanation available

The policy does not address the explainability of automated decisions, which can generate distrust regarding contact data processing.

Source: vendor public documents

Compliances in AI (3)

AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.

  • Teamgate
  • The policy connects data categories with their specific purposes.
  • Defines exact retention periods for different data categories.
  • These practices ensure greater transparency and security in data management during due diligence.

Policy on data use for AI training clearly stated

The policy mentions the use of contact data to improve functionalities, but does not clearly specify its use for AI training.

AI training opt-out control available

The policy offers generic opt-out controls, but there is no clear process for specific opt-out for AI training.

Contestation and human review of AI decisions available

General support channels exist, but there is no specific mention of reviewing automated AI decisions, which limits transparency.

Source: vendor public documents

Highlights in Privacy (3)

Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.

Data controller and processor roles clearly defined

The policy clearly identifies Teamgate as a data controller and processor, essential to ensure compliance and accountability in contact data management.

Data controller identity and contact clearly disclosed

The policy provides complete information about the controller's identity, facilitating communication and transparency for customers and users.

Processing purposes clearly listed by data category

The policy connects contact data categories with their specific purposes, ensuring clarity and compliance in data processing.

Source: vendor public documents

Critical Alerts

  • Decisões automatizadas por IA não têm explicação disponível: Crucial para a confiança dos clientes em decisões automatizadas que afetam seus dados de contatos..
  • Princípios de IA ética e medidas anti-viés não documentados: Crucial para a proteção dos direitos dos clientes em relação ao tratamento de dados de contatos.

Conformance analysis (20)

Premium Feature
AITS Criterion 9
Compliant

Roles of data controller and processor clearly defined

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 10
Compliant

Identity and contact of the data controller clearly informed

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 12
Compliant

Processing purposes clearly listed by data category

Reference: ISO/IEC 27701 (7.3)

Source: vendor public documents

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Teamgate CRM: A Comprehensive Privacy and AI Governance Audit

Privacy Strength: Clear Data Processing Purposes

Teamgate excels in its transparency regarding data processing purposes. The software clearly documents the reasons for data collection, categorized by data type. This high level of clarity is crucial for users who want to ensure compliance with privacy regulations like GDPR and LGPD. Understanding why your data is collected helps you make informed decisions about your engagement with the platform. With an AITS Privacy Score of 94%, Teamgate demonstrates a strong commitment to user privacy, allowing you to trust that your data is being handled responsibly.

Privacy Strength: Defined Data Retention Periods

Another notable strength of Teamgate is its clearly defined data retention periods. Users can easily find information about how long their data will be stored, which is essential for compliance with regulations such as ISO 27701. This transparency not only helps you manage your data lifecycle effectively but also empowers you to exercise your rights under data protection laws. Knowing the retention timelines allows you to request data deletion when it is no longer necessary, thereby enhancing your control over personal information.

Privacy Weakness: Undefined Retention for AI Prompts and Responses

Despite its strengths, Teamgate has significant weaknesses, particularly in its handling of AI-generated data. The retention of prompts and responses from AI interactions lacks a defined timeframe. This poses a risk for users who are concerned about how long their data might be stored without their consent. To mitigate this risk, users should regularly review their AI interaction settings and consider limiting the use of AI features until clearer retention policies are established.

Privacy Weakness: Lack of Explanation for Automated Decisions

Another area of concern is the absence of explanations for automated decisions made by AI within Teamgate. This lack of transparency can lead to distrust among users, especially those who prioritize ethical AI practices. Without understanding how decisions are made, users may feel uncertain about the implications of these automated processes. To address this, it is advisable to engage with customer support to seek clarity on how AI decisions are made and to advocate for more transparency in future updates.

Practical Guidance: Settings to Check for Enhanced Privacy

To enhance your privacy while using Teamgate, it's crucial to explore the settings available within the platform. Ensure that you have enabled features that allow you to control data sharing and visibility. Regularly check your account settings for options related to data retention and AI usage. If available, opt-out of any features that involve automated decision-making until you feel confident about their transparency and ethical implications.

Practical Guidance: Alternatives and Precautions

If the weaknesses in Teamgate's AI governance concern you, consider exploring alternative CRM solutions that offer more robust AI transparency and ethical guidelines. Look for platforms that provide clear documentation on AI decision-making processes and have established measures against bias. Additionally, stay informed about updates from Teamgate regarding their AI practices and privacy policies, as improvements may be on the horizon that could address current shortcomings.

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Source: vendor public documents

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Scope & Limitations

TrustThis/AITS assessments are based exclusively on publicly available information, duly cited with date and URL, following the AITS methodology (privacy & AI transparency).

The content is indicative in nature, intended for screening and comparison, not replacing internal audits.

TrustThis/AITS does not perform invasive tests, does not access vendor technology environments and does not process customer personal data. Conclusions reflect only the vendor's public communication at the date of collection.

Source: vendor public documents