Assess application compliance against India's DPDP Act, before gaps become problems.
Organisations handling personal data in India need to understand whether their applications actually meet the obligations of the Digital Personal Data Protection Act, 2023. Aeologic's AI-powered DPDP Compliance Assistant brings application flows, privacy documentation, data handling practices, and compliance requirements together to provide a structured first assessment and identify specific areas that need attention.
In short
Aeologic built an AI agent that assesses applications against the requirements of India's Digital Personal Data Protection Act, 2023. It reviews consent and notice flows, data principal rights, breach readiness, children's data handling, security safeguards, data minimisation, and related practices, producing a structured view of compliance gaps and recommended actions.
- Client Type Data Fiduciaries and Data Processors
- Problem Fragmented DPDP compliance assessment across legal, product and engineering
- Solution AI-driven application assessment with structured compliance reporting
- Industry BFSI, Healthcare, E-Commerce, Government & Technology
DPDP compliance required one assessment across the entire application lifecycle.
India's DPDP Act, 2023 introduces obligations around consent, notice, data principal rights, personal data breach handling, children's data, and other aspects of personal data processing. Determining whether an existing application meets these requirements is not a single-document exercise. Consent screens, privacy notices, data flows, product behaviour, rights mechanisms, security safeguards, and deletion practices may sit across different teams and systems. Organisations therefore needed a systematic way to examine how an application actually handles personal data and identify precisely where its implementation falls short of the applicable requirements.
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Consent and privacy notice practices reviewed separately across product and legal teams
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Data principal rights assessed as policy commitments rather than verified application capabilities
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Breach readiness and children's data controls required cross-functional investigation
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Compliance findings were difficult to translate into specific product and engineering actions
What the DPDP assessment had to achieve.
Assess whether application consent and notice flows align with DPDP requirements.
Verify that data principal rights such as access, correction, erasure, and consent withdrawal are supported.
Evaluate personal data breach detection and reporting readiness.
Review special handling of children's and persons-with-disabilities' data.
Identify gaps in security safeguards, data minimisation, and cross-border transfer practices.
An AI compliance assessment layer that connects application behaviour with DPDP obligations.
Build the application's data picture
The agent brings together application and data flows, privacy policies, notices, and data-handling documentation to establish how personal data moves through the application.
Evaluate implementation against obligations
Each relevant area is examined against the applicable DPDP requirements, with attention to the difference between what documentation says should happen and what the application is designed to support.
Turn findings into practical actions
Findings are organised into a structured compliance view that connects each identified issue with its relevant obligation and the change needed to close the gap.
Application and data-flow analysis
The assessment looks at how personal data is collected, processed, stored, and handled across the application rather than evaluating isolated compliance statements.
Consent and notice intelligence
Consent experiences and privacy notices are examined together so organisations can identify inconsistencies between disclosed practices and the user-facing flow.
Rights and lifecycle assessment
The agent examines whether mechanisms supporting data principal rights align with the application's actual lifecycle, including access, correction, erasure, and consent withdrawal.
Action-oriented compliance reporting
Instead of presenting only legal terminology, the assessment organises findings into specific obligations, application gaps, and practical remediation directions that product and engineering teams can act on.
Four assessment challenges, addressed systematically.
Consent that looks compliant on paper
A privacy policy may describe appropriate consent while the actual product experience behaves differently.
Review the implemented consent experience
The agent examines the actual consent and notice flow alongside the supporting policy documentation.
Obligations spread across the data lifecycle
Collection, processing, storage, and deletion can involve different systems and owners.
Lifecycle-based assessment
The review is structured around the application's personal data lifecycle rather than one generic compliance checklist.
Evolving rules and operational thresholds
DPDP requirements and operational rules can continue to evolve as the framework is implemented.
Criteria designed for current requirements
The assessment approach can reference applicable current rules and update its criteria as the regulatory framework develops.
Legal findings that are difficult to operationalise
Product and engineering teams need concrete changes, not only legal descriptions of non-compliance.
Obligation-to-action mapping
Each finding is connected to the relevant obligation and explained in terms of the practical change required to address the identified gap.
"A useful compliance assessment has to connect legal requirements with what the application actually does. The objective is not simply to identify a rule — it is to show where implementation differs and what needs to change."
A faster, clearer starting point for DPDP compliance.
Faster and more structured assessment of DPDP compliance across an entire application.
Clear visibility into specific implementation gaps before they become regulatory or reputational issues.
Reduced dependency on separate legal, product, and engineering reviews for an initial compliance assessment.
A stronger starting position for formal compliance, security, product, or legal review.
Turn DPDP compliance review into a structured, actionable assessment.
The DPDP Compliance Assistant gives organisations a practical way to assess applications against India's Digital Personal Data Protection Act, 2023. By bringing together consent-flow review, privacy notice analysis, data principal rights, breach readiness, children's data protections, and lifecycle considerations, the agent provides a structured view of where an application conforms and where changes may be required. The resulting obligation-mapped assessment gives product, engineering, compliance, and legal teams a common starting point for a deeper formal review.
Common questions about the DPDP Compliance Assistant.
Find quick answers about assessing applications against India's Digital Personal Data Protection Act, 2023.
What is the DPDP Compliance Assistant?
The DPDP Compliance Assistant is an AI agent that assesses an application's consent flows, privacy notices, data principal rights, breach readiness, children's data handling, security safeguards, and related practices against the requirements of India's Digital Personal Data Protection Act, 2023.
What parts of an application can the assistant assess?
The assessment can consider application and data flows, consent and notice experiences, privacy policies, data handling documentation, rights-support mechanisms, breach processes, and other materials supplied for the compliance review.
Does the assistant check actual consent flows or only privacy policies?
The approach is designed to examine how consent and notice work in the application, rather than relying only on what a written privacy policy promises. This helps identify gaps between documented practices and the actual product experience.
What does the compliance gap report contain?
The report organizes findings against specific DPDP obligations, identifies areas of conformity and gaps, and explains the practical changes needed to address each finding. It is intended to provide a structured first assessment before a formal compliance or legal review.
Preparing your application for DPDP compliance?
Our architects can help you assess application flows, data handling, privacy practices, and compliance gaps with an AI-assisted DPDP assessment approach.
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