Monitor registrations, normalize and validate data, evaluate eligibility with GPT-4o, and route decisions via Google Sheets and Gmail, with full audit trails.
This AI agent automates the full DPDP consent registrations flow—from intake to final decision and archival. It normalizes data, validates mandatory fields, and logs activities to ensure a complete audit trail. Eligibility is evaluated by a DPDP-aware GPT-4o model, with results pushed to Google Sheets and notifications sent via Gmail.
End-to-end automation of DPDP consent registrations
Normalize incoming registration payload
Validate mandatory fields
Log invalid registrations to audit sheet
Write initial registration entry to master sheet
Evaluate eligibility with GPT-4o DPDP compliance model
Route decision and notify applicants and compliance teams; update status in Sheets
This AI agent replaces ad hoc screening with a repeatable, auditable process that standardizes outcomes.
A straightforward 3-step flow anyone can follow
Receive the registration event, extract key fields, and clean the payload for downstream processing.
Run the GPT-4o DPDP model to assess financial, technical, operational readiness, and documentation status, returning a structured JSON.
Route to approval or rejection, send emails, and update Google Sheets with final status.
One realistic scenario illustrating end-to-end execution
Scenario: A DPDP consent registration arrives via webhook at 09:15. The payload misses one document, but the AI agent normalizes the data, flags the missing item, and proceeds with eligibility evaluation using GPT-4o. The result is Eligible with a low risk level; an approval email is sent to the applicant, a notification is issued to the compliance team, and the master sheet is updated with the final status and recommended next steps.
One supporting sentence.
Need consistent eligibility decisions and auditable trails.
Require automated intake support for audits and reporting.
Must onboard consent managers at scale with standardized outputs.
Need standardized data fields, validation, and traceability.
Require verifiable decision logs and JSON outputs for reviews.
Want reliable integration with Sheets, Gmail, and webhook intake.
One supporting sentence with short explanation.
Evaluate eligibility using DPDP criteria and produce structured JSON output for downstream systems.
Send outcome emails to applicants and compliance teams with clear next steps.
Log registrations, track validity, and update final statuses across the master sheet.
Receive registration events and trigger the AI agent processing pipeline.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
Inputs come from a registration webhook payload including fields such as action, organizationName, applicationType, contactEmail, netWorth, technicalCapacity, operationalCapacity, and documentation status. The AI agent normalizes and validates these fields and logs any missing or malformed entries into an audit sheet for traceability. If parts of the payload are missing, the agent proceeds with available data and marks missing items for remediation. The eligibility evaluation then occurs against DPDP criteria, with all steps recorded for auditability.
Eligibility is determined by a DPDP-specific model configuration that analyzes financial capacity, technical capacity, operational readiness, and documentation status. The AI returns a structured JSON including fields such as eligible, riskLevel, decisionReason, missingItems, and recommendedNextSteps. Missing documents are not a rejection condition but are tracked for remediation. Outputs are sanitized to ensure safe parsing by downstream systems and consistent downstream routing.
Missing documents are logged as issues in the audit trail and included in the missingItems field in the eligibility JSON. They do not automatically reject an application; the decision can still be Eligible if other criteria are met. The agent provides recommended steps to obtain the missing items. Once documents are received, reprocessing can be triggered to update the eligibility outcome.
The AI agent uses OAuth-secured connections to Google Sheets and Gmail, with access governed by your security policies. Data transmitted through the webhook is handled over secure channels and processed in a controlled environment. Audit trails are maintained within Sheets with timestamps and identifiers, ensuring traceability. Sensitive items are limited to the necessary fields in the eligibility output and notification communications.
Yes. The AI agent is designed to process streams of registrations with consistent processing logic and scalable OpenAI service usage. It supports parallel processing and queuing to keep latency reasonable under higher load. Logs provide end-to-end traceability for batch processing. If volumes spike, intake can be throttled or batched while preserving audit integrity.
If confidence is low or the result is ambiguous, the item is routed for manual review by a compliance professional. The agent provides detailed reasoning and highlights missing data to resolve. The decision context and interim data are preserved for reprocessing once clarity is achieved. This avoids premature rejections and maintains integrity.
Yes. You can configure DPDP eligibility thresholds, required documents, and the wording of email templates for both approvals and rejections. Changes can be tested in a sandbox and then deployed to production with full audit history preserved. The pipeline supports versioning and rollback in case of misconfigurations. This ensures you can adapt to policy updates without disruption.
Monitor registrations, normalize and validate data, evaluate eligibility with GPT-4o, and route decisions via Google Sheets and Gmail, with full audit trails.
