Build an evidence-based current state
Automated discovery, metadata, architecture, configuration, sampling, and interviews are combined. Findings record source, confidence, owner, affected systems, and material unknowns.
Requirement to control
DPDP compliance readiness
BluePi maps processing, notices, consent, rights operations, retention, processors, incidents, controls, and evidence for legal review and implementation.
Readiness for India’s Digital Personal Data Protection Act (DPDP)
Turn privacy obligations into a prioritized delivery program.
BluePi helps privacy, legal, security, data, application, and operating owners build a verified view of personal data and the systems and workflows that process it. Legal interpretation remains with qualified counsel.
The readiness program connects purposes, collection, notices, consent where applicable, access, sharing, retention, deletion, security, breach response, and data-principal rights to deployed controls and evidence.
Prioritize by exposure and dependency
Gaps are assessed by data sensitivity, scale, purpose, user impact, system reach, control weakness, delivery effort, and upstream or downstream dependency.
Create implementable work packages
Each work package names the control, systems, owner, acceptance evidence, exception path, dependencies, and review cadence required to move from policy to operation.
When this is the right starting point
- Personal-data records are incomplete or maintained manually
- Policies cannot be mapped to deployed applications and data stores
- Rights, retention, or consent workflows cross many owners
- Evidence is assembled only when a customer or auditor asks
Good fit
One operating workflow has a named owner, a measurable baseline, and users who can judge whether the result improves.
Poor fit
The request is capacity-only staffing, an unowned demonstration, or a broad transformation without a first decision and finish condition.
Evidence produced during delivery
- Baseline and decision definition
- Data and system-boundary map
- Evaluation or reconciliation result
- Runbook and ownership transfer
System detail
Open the part you need. Each section expands into the full delivery scope for that step.
01Build an evidence-based inventory
Record systems, data, processing purposes, owners, processors, access, notices, consent, retention, rights operations, and known gaps.
02Turn findings into delivery work
The output is a risk-ranked backlog with owners, dependencies, evidence requirements, and explicit legal-review points.
- Processing and system inventory
- Control and evidence assessment
- Risk-ranked implementation backlog
- Ownership and review plan
03Keep the legal boundary clear
BluePi implements data and system controls. Legal interpretation and certification remain with the organization and its counsel.
FAQWhat does DPDP compliance readiness include?
You leave with a risk-ranked backlog your counsel can sign off and your delivery team can execute: processing mapped, notices and consent reviewed, rights operations designed, retention rules traced, and evidence defined. Legal scope stays with counsel throughout.
FAQWho owns the legal scope of DPDP work?
Counsel defines legal scope and response requirements. BluePi designs the technical and operating path for receiving, verifying, fulfilling, and recording applicable data-principal requests.
“BluePi’s structured and collaborative approach in data governance and reconciliation helped bring clarity to our data landscape and support informed decision making. We appreciate their professionalism, responsiveness, and commitment to delivering outcomes.”
Sheela BalasubramanianVice President - AI CoE & QATata Tele Business Services
Start with one operating workflow.
We will review the owner, the baseline, the data path, the system boundary, and the route to go-live.
Discuss one workflow