AI-Powered Compliance: DSAR processing with AI

Automating Subject Access Requests with the Nearfield DSAR Agent.

The DSAR Agent, built on the Nearfield Agent Platform, automates and accelerates Data Subject Access Requests using the Nearfield Scheduler, ensures speed, accuracy and compliance, reducing manual effort and processing time.

DSAR Automation Case Study

Revolutionising DSAR Processing with AI: From 10 Days to 5.5 Hours!

Challenge: DSAR Processing time

A UK NGO's former director submitted a 25GB DSAR. Using traditional manual methods it required 3 FTEs 10 days to complete (240 hrs).

Solution: AI driven DSAR Automation

Processing was transformed with AI-powered false positive detection. Workflow automation and advanced decision support.

Impact: Faster, Smarter, More Efficient

Higher accuracy, fewer false positives & improved audit transparency and reporting!

Results

Reduction in processing time from 240 hours to 5.5, plus resource reduction from 3 to 2 FTEs!

“Nearfield’s DSAR solution was a game-changer for us. The automation allowed us to handle complex data requests with ease, significantly reducing time and effort. The accuracy and professionalism ensured compliance with confidence... With Nearfield’s support, we’ve minimized stress while safeguarding against non-compliance risks.”
Mark Povey, MD, JS-IG

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Illustration highlighting the key benefits of the Nearfield AI DSAR Agent

Why Choose the Nearfield AI DSAR Agent?

Automated Compliance: Reduces manual workload & processing errors in DSAR workflows.
Speed & Efficiency: Drastically reduces Data Subject Access Request processing time from days to hours.
Scalable Solution: Enables handling a higher volume of DSARs with existing resources.
Enhanced Data Security: Protects sensitive personal data throughout the automated process.
Reduced DSAR Burden: Simplifies the process, saves costs, ensures faster completion, minimizes senior management overhead, and maintains GDPR compliance.

DSAR Automation Phased Process

Phase 1 - Data Subject Verification

The DSAR process starts by verifying Data Subject's Name, Email Address, Phone, Address and Aliases. This information is converted into structured JSON data for system processing.

Phase 1 of Nearfield DSAR Automation: Data Subject Verification

Phase 2 - Discovery and Data Categorisation

The Discovery Phase ensures all documents are categorised (In-Scope/Out-of-Scope), finds all Personally Identifiable Information (PII), and compiles a master file for redaction using Placeholders.

Phase 2 of Nearfield DSAR Automation: Discovery and Data Categorisation

Phase 3 - AI-Powered Contextual Matching

The AI Agent performs deep contextual analysis to classify redaction candidates, automatically accepting or rejecting based on relevance and compliance protocols, providing justification for each decision.

Phase 3 of Nearfield DSAR Automation: AI-Powered Contextual Matching for PII

Phase 4 - Automated Redaction

Redaction removes sensitive PII whilst preserving the Data Subject's details. Outputs structured JSON data for seamless document redaction.

Phase 4 of Nearfield DSAR Automation: Automated Redaction of Sensitive Data

Phase 5 - Secure & Compliant PDF Delivery

Generates accurately redacted, encrypted & compressed PDFs, ensuring full compliance with GDPR privacy regulations.

Phase 5 of Nearfield DSAR Automation: Secure and Compliant PDF Delivery

Take the next step in AI Automation

Learn how Nearfield can streamline your DSAR process.