DPDPA compliance and consent-technology analysis — the Act, the Rules, and what implementation actually looks like, written plainly.
A practical evaluation framework — what to check, what to ask, and what should make you pause before committing to one.
A spreadsheet of flagged PII columns is discovery; knowing whose data it is and under which purpose is mapping.
Purposes and collection points change constantly under the DPDPA, so a quarterly audit cycle is always checking stale data.
If adding a processing purpose means a support ticket and a two-week wait, your platform is a liability under a law that keeps changing.
Most CMPs stop at the banner; the DPDPA requires withdrawal, expiry and deletion to keep working long after.
Branches and field agents enter data on someone else’s behalf daily in India, and a signed paper form doesn’t satisfy the DPDPA.
A flat consent setup works for a single-product startup but lets consent bleed across businesses in a multi-product enterprise.
Five practical rules for managing consent without frustrating users or slowing the business down.
India’s DPDPA sets out who can process personal data, on what grounds, and what happens when they get it wrong.
30 minutes to talk through where you actually stand — no obligation.
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