Document Overlap
2.1%First documentBuilding a Consent-Aware API: Technical Guide for DPDP-ReadyOpen original ↗
Second documentMutual Fund Platforms: Preference Control for Advisory andOpen original ↗
Top paragraph overlap
48.2%Page comparison
Paragraph matches
Strongest non-zero match for each paragraph.
Implementation patterns for building a consent-aware API
Establish a central consent service and data store Create a dedicated service that owns the consent data model and exposes REST/GraphQL APIs and events. All channels (web, app, branch, call centre) should integrate with this service rather than storing consents locally.
Architecting a single source of truth across mutual fund systems
Central consent service: Implement a dedicated microservice or SaaS platform that stores consent objects and preferences, exposes APIs for read/write, and evaluates whether a proposed communication is permissible given current state and regulatory rules.
Evaluation and rollout checklist for technical evaluators
Many organisations run a global consent service with jurisdiction-aware rules and fields. The key is ensuring that the model and enforcement logic can represent DPDP-specific requirements, such as withdrawal and purpose limitation, and that reporting can answer India-specific regulatory questions. [1]
Common questions about DPDP-native preference control for mutual funds
The DPDP Act requires valid consent or another lawful basis for processing personal data, but it does not prescribe specific marketing categories. In practice, most mutual fund platforms benefit from defining separate purposes and preferences for: (a) profiling and sending advisory content, and (b) sending promotional or cross-sell communications. This gives you clearer records, more granular investor control, and better alignment with SEBI’s expectations around suitability, advertising, and mis-selling, even though both may ultimately rely on consent as the legal basis. [1]