DataConsultant helps business, privacy, legal, data, security and technology teams map the DPDP Act, 2023 and final DPDP Rules, 2025 to personal-data processing, accountable owners, practical controls, evidence and a prioritised implementation roadmap.
Advisory supports operational readiness and control implementation. It does not replace qualified legal advice, statutory audit, certification or regulatory representation.
India’s personal data protection law establishes duties for Data Fiduciaries and rights for Data Principals.
The Digital Personal Data Protection Rules, 2025 were notified with a phased commencement model.
Several key operational rules are scheduled to commence eighteen months after Gazette publication, in May 2027.
Use the transition window to establish evidence, ownership, workflows and technology changes rather than relying on policy updates alone.
The engagement connects regulatory obligations to the real places where personal data is collected, used, shared, retained, secured and deleted.
It helps teams turn an approved interpretation of the DPDP framework into processing maps, accountability, control requirements, evidence standards, workflows, prioritised remediation and implementation decisions across business, data and technology.
The service can organise facts and control evidence and work alongside legal counsel, internal audit and security specialists. It should not be presented as a government certification, statutory audit, guaranteed compliance outcome or substitute for authorised legal interpretation.
Start with the processing activities, systems, vendors and business units that carry the greatest personal-data exposure. DataConsultant can shape an evidence request and a proportionate assessment scope.
Scope is tailored to the organisation. These workstreams provide a practical way to move from regulatory text to accountable operating controls.
Identify processing activities, purposes, data categories, systems, sources, recipients, processors, transfers, retention and accountable business owners.
Define content, journey, purpose, consent-capture, withdrawal, downstream enforcement and evidence requirements for relevant processing contexts.
Design intake, identity checks, routing, system actions, approvals, responses, grievance handling, records and control evidence.
Map required safeguards to access, encryption or masking, logging, monitoring, resilience, processor clauses, incident response and notification evidence.
Define retention triggers, legal or business exceptions, pre-erasure notifications where applicable, deletion responsibilities and evidence of execution.
Map processor relationships, contract dependencies, onward sharing, transfer pathways, control expectations and ongoing supplier evidence.
Identify child-data journeys and other contexts that may require verifiable consent, specific safeguards, exemptions or additional legal review.
Where relevant, prepare for additional governance, DPO, DPIA, audit, technical-due-diligence and data-location requirements subject to current notification and legal advice.
A useful advisory output does more than list clauses. It establishes traceability from the requirement to an owner, control, implementation dependency and evidence source.
Deliverables are selected to support the buyer’s decision and implementation scope. Not every engagement requires every artefact.
Evidence-based findings, material gaps, limitations, risk themes and executive decision points.
Purpose, data categories, systems, recipients, processors, transfers, retention and business ownership.
Traceability from approved regulatory interpretation to controls, owners, evidence and remediation.
Journey and system requirements for transparency, consent, withdrawal and proof where relevant.
Intake, verification, routing, action, exception, response, escalation and case-record requirements.
Safeguard, monitoring, logging, processor, incident and notification-readiness requirements.
Retention, erasure, processors, vendor dependencies, transfer considerations and evidence expectations.
Sequenced actions, owners, dependencies, decision gates, implementation backlog and executive readout.
Define the control artefacts, evidence expectations and implementation backlog before work starts. That keeps the engagement focused on operational decisions instead of producing a generic compliance report.
A structured, evidence-led process moves from scope and data-flow discovery to control design, prioritisation and handover.
Confirm business context, entities, jurisdictions, products, stakeholders, material processing and the decisions required.
Output: scope & evidence requestReview policies, notices, inventories, contracts, architecture, workflows, incidents, audit findings and available control evidence.
Output: evidence registerValidate purposes, personal-data categories, systems, recipients, processors, transfers, retention and accountable owners.
Output: processing mapCompare approved requirements with current policy, process, technical and evidence controls; document gaps and limitations.
Output: gap & risk registerDefine target controls, roles, implementation options, dependencies, decision gates and prioritised remediation actions.
Output: control design & roadmapReview recommendations with accountable teams, resolve open decisions and prepare mobilisation or implementation handover.
Output: executive readoutTimeline is confirmed after scoping. It varies with organisational size, evidence quality, stakeholder availability, number of processing activities and the depth of implementation support required.
DPDP readiness depends on accurate business and system evidence. A focused client team can accelerate discovery and reduce assumptions.
Start with what already exists. Missing information should be recorded as a gap rather than recreated through assumption.
Participation should follow the data-processing decisions being assessed, not a fixed project-org chart.
DPDP requirements must be read against the current commencement position and the organisation’s facts. The examples below are implementation themes, not legal conclusions.
Bring your privacy, legal, security, data and technology stakeholders into one traceable control model. DataConsultant can help structure the assessment and implementation handover.
DataConsultant does not publish a fixed DPDP Advisory fee. Scope-led pricing is more appropriate because the cost changes materially with processing complexity, evidence maturity and implementation depth.
Public 2026 India pricing reviewed across independent specialist providers shows comparable bundled advisory and readiness programmes commonly published in this range. Narrow assessments can be lower; broader enterprise, SDF, legal, technology, software-enabled or managed-compliance programmes can be materially higher.
A written quote should reflect the actual decisions, evidence, stakeholders and deliverables required rather than a generic company-size package.
Choose the service when the problem is primarily about translating DPDP requirements into an operational data, control and implementation model.
Share the business units, key products, major personal-data flows, current evidence and the decisions you need to make. DataConsultant can recommend an assessment, design or implementation-support scope and confirm pricing after discovery.
The engagement is positioned around governed data and operational implementation, with clear boundaries where legal or specialist assurance is required.
Connect regulatory themes to processing activities, systems, data flows, owners, evidence and implementation dependencies.
Design responsibilities across privacy, legal, security, data, technology, product, operations and third parties rather than treating DPDP as a policy-only project.
Define the business and control requirement first, then assess tooling or implementation choices against the required operating outcome.
Structure findings into prioritised actions, owners, dependencies, evidence expectations and decision gates that delivery teams can mobilise.
Answers to common buyer questions about scope, current regulatory status, deliverables, timing, pricing, implementation and service boundaries.
Share your contact details and requirement. DataConsultant can review the likely scope, evidence required, stakeholder involvement and appropriate next step.
