Data Protection Impact Assessment (DPIA) – Intelligine Oasis
Data Protection Impact Assessment (DPIA) – Intelligine Oasis
Data Protection Impact Assessment (DPIA) – Intelligine Oasis
1. Processing Activity
1. Processing Activity
1. Processing Activity
Intelligine Oasis provides a private AI orchestration and governance platform deployed within the customer’s controlled cloud or on-premise environment. The platform processes personal data only as explicitly provided by the customer for the purpose of enabling AIassisted analysis, automation, and decision support. Personal data may be transiently processed during query execution, model orchestration, or agent workflows. Data is not used for training external models and is not retained beyond the customer-configured retention period. All processing occurs within customer-designated infrastructure or approved cloud environments.
Intelligine Oasis provides a private AI orchestration and governance platform deployed within the customer’s controlled cloud or on-premise environment. The platform processes personal data only as explicitly provided by the customer for the purpose of enabling AIassisted analysis, automation, and decision support. Personal data may be transiently processed during query execution, model orchestration, or agent workflows. Data is not used for training external models and is not retained beyond the customer-configured retention period. All processing occurs within customer-designated infrastructure or approved cloud environments.
Intelligine Oasis provides a private AI orchestration and governance platform deployed within the customer’s controlled cloud or on-premise environment. The platform processes personal data only as explicitly provided by the customer for the purpose of enabling AIassisted analysis, automation, and decision support. Personal data may be transiently processed during query execution, model orchestration, or agent workflows. Data is not used for training external models and is not retained beyond the customer-configured retention period. All processing occurs within customer-designated infrastructure or approved cloud environments.
2. Purpose of Processing
2. Purpose of Processing
2. Purpose of Processing
The purpose of processing is to enable enterprises to safely deploy and govern AI systems by orchestrating AI model interactions, executing agentic workflows, and supporting enterprise operations such as research, compliance, analysis, and automation. Processing supports improved accuracy, security, auditability, and governance of AI usage. Intelligine does not process personal data for profiling, marketing, or independent decision-making purpose.
The purpose of processing is to enable enterprises to safely deploy and govern AI systems by orchestrating AI model interactions, executing agentic workflows, and supporting enterprise operations such as research, compliance, analysis, and automation. Processing supports improved accuracy, security, auditability, and governance of AI usage. Intelligine does not process personal data for profiling, marketing, or independent decision-making purpose.
The purpose of processing is to enable enterprises to safely deploy and govern AI systems by orchestrating AI model interactions, executing agentic workflows, and supporting enterprise operations such as research, compliance, analysis, and automation. Processing supports improved accuracy, security, auditability, and governance of AI usage. Intelligine does not process personal data for profiling, marketing, or independent decision-making purpose.
3. Data Categories
3. Data Categories
3. Data Categories
Depending on customer use case, processed data may include business contact information, user-provided text and documents, operational metadata, and pseudonymized identifiers. Special category data is not processed unless explicitly configured by the customer with additional Safeguards.
Depending on customer use case, processed data may include business contact information, user-provided text and documents, operational metadata, and pseudonymized identifiers. Special category data is not processed unless explicitly configured by the customer with additional Safeguards.
Depending on customer use case, processed data may include business contact information, user-provided text and documents, operational metadata, and pseudonymized identifiers. Special category data is not processed unless explicitly configured by the customer with additional Safeguards.
4. Processing Scope & Context
4. Processing Scope & Context
4. Processing Scope & Context
Processing is limited to enterprise users authorized by the customer organization. Intelligine operates strictly as a data processor. No personal data is processed for consumer profiling or automated decision-making with legal or similarly significant effects without human oversight.
Processing is limited to enterprise users authorized by the customer organization. Intelligine operates strictly as a data processor. No personal data is processed for consumer profiling or automated decision-making with legal or similarly significant effects without human oversight.
5. Necessity & Proportionality
5. Necessity & Proportionality
5. Necessity & Proportionality
Processing is necessary to deliver platform functionality and proportionate to its purpose. Data minimization, query modification, scoped access controls, and customer-controlled retention policies are enforced.
Processing is necessary to deliver platform functionality and proportionate to its purpose. Data minimization, query modification, scoped access controls, and customer-controlled retention policies are enforced.
6. Risk Assessment
6. Risk Assessment
6. Risk Assessment
Potential risks include unauthorized access or misuse of AI outputs. Risk likelihood is reduced through private deployment, encryption, audit logging, and governance controls.
Potential risks include unauthorized access or misuse of AI outputs. Risk likelihood is reduced through private deployment, encryption, audit logging, and governance controls.
Potential risks include unauthorized access or misuse of AI outputs. Risk likelihood is reduced through private deployment, encryption, audit logging, and governance controls.
7. Mitigation Measures
7. Mitigation Measures
7. Mitigation Measures
Mitigations include private deployment, query modification, encryption at rest and in transit, RBAC, audit logs, configurable retention, no external model training, and human-in-the-loop controls.
Mitigations include private deployment, query modification, encryption at rest and in transit, RBAC, audit logs, configurable retention, no external model training, and human-in-the-loop controls.
Mitigations include private deployment, query modification, encryption at rest and in transit, RBAC, audit logs, configurable retention, no external model training, and human-in-the-loop controls.
8. Legal Basis
8. Legal Basis
8. Legal Basis
Processing is based on Consent (Article 6(1)(a)) or Performance of a Contract (Article 6(1)(b)), as determined by the Customer. Intelligine acts solely under Controller instructions.
Processing is based on Consent (Article 6(1)(a)) or Performance of a Contract (Article 6(1)(b)), as determined by the Customer. Intelligine acts solely under Controller instructions.
Processing is based on Consent (Article 6(1)(a)) or Performance of a Contract (Article 6(1)(b)), as determined by the Customer. Intelligine acts solely under Controller instructions.
9. DPO Consultation
9. DPO Consultation
9. DPO Consultation
The Data Protection Officer has reviewed the processing activities and confirmed appropriate safeguards. Periodic reviews are recommended.
The Data Protection Officer has reviewed the processing activities and confirmed appropriate safeguards. Periodic reviews are recommended.
The Data Protection Officer has reviewed the processing activities and confirmed appropriate safeguards. Periodic reviews are recommended.
10. Stakeholder Input
10. Stakeholder Input
10. Stakeholder Input
Engineering, security, legal, and customer stakeholders were consulted, emphasizing data minimization and auditability.
Engineering, security, legal, and customer stakeholders were consulted, emphasizing data minimization and auditability.
Engineering, security, legal, and customer stakeholders were consulted, emphasizing data minimization and auditability.
11. Approval Date
11. Approval Date
11. Approval Date
[Insert Date]
[Insert Date]
[Insert Date]
12. Reviewer
12. Reviewer
12. Reviewer
[Name], Data Protection Officer / Head of Compliance, Intelligine Technologies
[Name], Data Protection Officer / Head of Compliance, Intelligine Technologies
[Name], Data Protection Officer / Head of Compliance, Intelligine Technologies
13. Review Frequency
13. Review Frequency
13. Review Frequency
This DPIA will be reviewed annually or upon material changes to processing activities.
This DPIA will be reviewed annually or upon material changes to processing activities.
This DPIA will be reviewed annually or upon material changes to processing activities.