Faster Request Turnaround
Route, verify, and fulfill rights requests with defined internal timelines and accountability.
Operationalize access, correction, erasure, and grievance handling with measurable timelines and evidence.
Rights operations are where many DPDP programs fail at scale. Build workflows that are accountable, testable, and resilient under real request volume.
Best for organizations that need predictable, auditable rights and grievance operations at enterprise scale.
Under the DPDP Act, every individual whose data you hold — called a Data Principal — has specific rights, and these rights form a core part of DPDP compliance for regulated businesses.
Rights management sounds simple on paper, but at scale it becomes an operational challenge. Requests come through multiple channels, involve data spread across systems, require coordination between teams, and need documented proof of fulfillment for audits.
It is the system for receiving, verifying, routing, fulfilling, and evidencing Data Principal requests.
Each outcome maps to execution, ownership, and proof — not abstract policy language.
Route, verify, and fulfill rights requests with defined internal timelines and accountability.
Replace ad-hoc inbox handling with workflow states, ownership, and escalation logic.
Maintain request-level evidence that stands up in audits and regulator inquiries.
Most delays come from operating-model gaps, not tooling gaps. Teams move faster when ownership, policy, architecture, and evidence align before implementation begins.
Email-driven operations create missed deadlines, unclear ownership, and poor user experience.
Teams struggle to balance quick turnaround with robust verification, exception handling, and data protection platform controls.
Older systems often struggle with direct deletion, rapid retrieval, and consent lifecycle management when data is spread across multiple tools.
Organizations cannot quickly prove request timelines, decisions, and dispositions during reviews.
Bring support, DPO, engineering, and compliance teams into one accountable rights-operations model.
Teams responsible for receiving, fulfilling, and evidencing Data Principal and grievance requests.
Move from request design to operational assurance through a focused, evidence-led delivery path.
Request taxonomy, intake channels, and evidence standards defined.
Classify request types and define required evidence for each fulfillment path.
Assign requests to data owners with clear escalation routes and service levels.
Use automation for repetitive tasks and controlled manual flows for complex edge cases.
Track cycle time, backlog risk, and exception trends to harden operations over time.
Without a unified operating model
Request lifecycle visibility
Email-driven workflows with opaque status
SLA governance
Manual trackers and inconsistent performance
Evidence quality
Fragmented evidence across systems
AquaConsento operating model
Request lifecycle visibility
End-to-end workflow states with ownership
SLA governance
Built-in timers, escalation, and audit logs
Evidence quality
Request-level action traces with timestamps
Use these linked pages together to cover strategy, controls, implementation, and evidence.