DPDP Readiness Baseline
Assess where your organisation stands today across personal data collection, processing purposes, consent gaps, vendor access, evidence readiness, and DPDP Act compliance requirements.
Capture consent, manage preferences, sync consent status across systems, support consent journeys in 22 languages, and prove every consent action with audit-ready evidence across customer journeys, vendor workflows, withdrawals, and compliance reporting.


Assess where your organisation stands today across personal data collection, processing purposes, consent gaps, vendor access, evidence readiness, and DPDP Act compliance requirements.
Map personal data across apps, CRMs, ERPs, emails, files, cloud storage, vendors, and internal teams so your DPDP assessment starts with clear visibility, not assumptions.
Generate structured inputs for RoPA, DPIA triggers, processor registers, risk heatmaps, audit evidence checklists, and implementation priorities from one guided discovery workspace.
Capture consents in 22 Indian languages
Simple 2-click consent journeys designed to reduce drop-offs
Sync consent status across business systems, third-party tools, webhooks, Consent Check API, and reports

Verify age before collecting or processing children’s personal data
Route consent requests to parents or guardians with clear approval flows
Store time-stamped consent records for every minor and guardian action

Let customers view, update, or withdraw consent through the Consentica Privacy Centre
Capture every consent change with clear status, timestamps, and request history
Send automated deletion or suppression instructions to internal and third-party systems when consent is withdrawn

OpenBlockAI is engineered for high-volume consent processing-built to reliably capture, store, sync, and query millions of consent events with clean auditability.
Low-latency infrastructure, resilient architecture, and real-time monitoring help teams stay stable during peak traffic, partner spikes, and large-scale campaigns.
Start implementing DPDP-ready consent without long contracts, technical effort, or surprise billing. Launch fast, validate your consent flow, and scale when you’re ready.
A privacy specialist reaches out to understand your use case
We map your consent flow across app, web, offline and vendor access
We set up your consent workflow with zero integration required
Your consent system can go live within 48 hours
Consentica helps teams discover personal data, map data flows, collect and manage consent, assess risk, automate downstream actions, and maintain audit-ready evidence across systems, vendors, processors, and customer journeys.
Discover personal data across structured and unstructured systems including databases, CRMs, ERPs, emails, documents, cloud storage, logs, and shared drives.
Identify where personal data sits, how it moves, which teams or vendors access it, and how it is used across customer, employee, and processor workflows.
Collect, manage, update, and withdraw consent across web, app, offline, assisted, QR, and API-led journeys with DPDP-ready consent artefacts.
Conduct DPIA, PIA, vendor risk, processor risk, and third-party assessments from one workflow with clear owners, gaps, evidence, and remediation actions.
Push consent updates, withdrawal signals, deletion instructions, and processing restrictions to internal systems, vendors, processors, and downstream tools.
Manage access, correction, erasure, withdrawal, grievance, and consent-related requests with SLA tracking, escalation paths, and response evidence.
Maintain audit-ready records for consent notices, approvals, withdrawals, data flows, risk assessments, vendor reviews, and regulatory evidence packs.
Standardize purpose-based processing, consent logic, retention rules, lawful basis mapping, and least-collection controls from one central governance layer.
Still have questions? Book a demo — we’ll map your consent flow in 15 minutes.
Under India’s DPDP framework, a Consent Manager is an entity registered with the Data Protection Board of India (DPB) that provides an accessible, transparent, and interoperable platform to help users give, manage, review, and withdraw consent.
In simple terms: it acts as a trusted consent layer that helps users control how their personal data is used—while giving organizations a cleaner, auditable way to operationalize consent management.
You generally need valid consent when you are processing personal data and your use case does not fall under a permitted ground or other legally allowed basis under the DPDP framework.
Best practice: always show a clear notice covering what data is being collected, why it is needed, and how long it will be used for—then collect granular consent and make withdrawal as easy as opt-in.
The Digital Personal Data Protection Rules, 2025 were notified in November 2025, but they do not all start at once.
The rollout follows a staggered commencement. Some provisions came into force immediately on publication, while others take effect later—such as certain obligations beginning one year or eighteen months after notification.
For organizations, the practical takeaway is simple: become production-ready now by mapping data flows, standardizing notices and consent records, setting up DSR workflows, and making audit logging a default part of operations.
The DPDP framework uses a penalty schedule where the Data Protection Board of India determines penalties based on the nature, severity, and impact of the contravention.
The practical takeaway: build strong security, clean consent governance, and audit-ready proof from day one.
The DPDP framework does not explicitly use the word “cookies”, but if cookies, trackers, or similar technologies can identify a person or enable profiling, they may amount to personal data processing in practice.
A safer approach—especially if you use analytics, advertising, or third-party scripts—is to:
If you only use strictly necessary cookies, such as session or authentication cookies, you can still disclose them transparently even if the journey is not gated behind an opt-in step.
OpenBlockAI helps organizations operationalize DPDP-ready consent management across digital and assisted journeys:
OpenBlockAI brings unified AI-driven compliance to your entire financial ecosystem - powered by real-time detection, global pattern intelligence, and privacy-preserving collaboration across networks.
Discover personal data across every source, map it to purposes and lineage, and generate DPDP-ready outputs for RoPA, DPIA, vendor governance and audit evidence.
Create purpose-based consent policies, collect granular permissions, and maintain audit-ready consent logs with validity, history, and easy API integration across apps, vendors, and customer journeys.
Vault, tokenise, and govern PII with enterprise-grade encryption and access control - purpose-built for privacy-first data infrastructure across networks.