Redaction Agent Using UiPath SDK + LangChain

Submission type

Coded Agent with UiPath SDK

Name

Abhishek Jagtap

Industry category in which use case would best fit in (Select up to 2 industries)

Finance

Complexity level

Advanced

Summary (abstract)

:receipt: Overview: The Redaction Agent is an AI-powered automation bot built using LangChain and the UiPath Python SDK. It intelligently scans unstructured documents — such as invoices, forms, or reports — to identify Personally Identifiable Information (PII) including:

:man_standing: Names :e_mail: Emails :mobile_phone: Phone Numbers :credit_card: Account or ID Details, Bank Details

Once detected, the agent automatically redacts the PII from the document (PDF or text) by replacing it with masked values such as ██████ or [REDACTED].

Detailed problem statement

:police_car_light: Problem Statement

Enterprises across legal, financial, and healthcare sectors manage thousands of documents containing Personally Identifiable Information (PII) every month.
The manual redaction process — reading, identifying, and masking sensitive data — is inefficient, inconsistent, and risky.

:magnifying_glass_tilted_left: Key Challenges

:stopwatch: Time-Consuming & Expensive: Legal teams spend hours manually reviewing each document, costing hundreds of dollars per file and millions annually.

:warning: High Error Rates: Human reviewers frequently miss up to 30% of PII, exposing organizations to GDPR, HIPAA, and CCPA violations.

:puzzle_piece: Policy Inconsistency: Different reviewers interpret redaction policies differently, leading to compliance gaps and audit failures.

:chart_decreasing: Scalability Limitations: Manual processes cannot handle large document volumes during audits, investigations, or discovery requests.

:page_facing_up: Format Complexity: Documents appear in various formats — scanned PDFs, tables, forms, and unstructured text — making detection difficult.

:locked: Lack of True Redaction: Simple masking is often reversible; metadata and hidden layers may still expose sensitive data.

:bar_chart: Poor Auditability: Manual logs and spreadsheets offer no real-time tracking or compliance visibility.

:gear: Integration Gaps: Existing document management systems lack intelligent redaction or policy automation capabilities.

Detailed solution

:brain: How It Works — Solution Architecture

:open_file_folder: Document Ingestion

• Documents are securely uploaded to the UiPath Storage Bucket, enabling centralized access, version control, and audit-ready storage.

• This ensures traceability and controlled access for all incoming files.

:balance_scale: Policy Management (Context Grounding via RAG)

• UiPath Context Grounding dynamically loads organization-specific redaction policies using Retrieval-Augmented Generation (RAG).

• Supports “must redact” lists, safe-value whitelists, and real-time policy updates — ensuring every detection follows the latest compliance standards.

:robot: AI Processing Engine (LangChain Framework)

• LangChain Orchestration manages document parsing, chunking, and prompt construction.

Components include:

• PyPDFLoader → text extraction

• RecursiveCharacterTextSplitter → intelligent text segmentation

• ChatPromptTemplate → policy-aware prompt generation

• LLM Chain Composition → robust and contextual PII analysis

:magnifying_glass_tilted_left: AI Detection (Google Gemini 2.5 Flash)

• Performs context-aware PII detection across 10+ entity types (names, SSNs, emails, bank details, etc.).

• Outputs structured JSON results, aligned with organizational policies and compliance formats.

• Ensures high precision with minimal false positives/negatives.

:shield: Permanent Redaction (PyMuPDF Engine)

• Employs a ping-pong redaction algorithm to apply irreversible black-box masking.

• Cleans embedded metadata and hidden layers, ensuring complete and permanent redaction.

Guarantees compliance with standards like GDPR, HIPAA, and CCPA.

:outbox_tray: Output & Notification Automation

• Redacted files are uploaded back to the output bucket, along with a compliance summary report.

• Automated email notifications (via UiPath MCP) alert stakeholders of completion.

• Every step is logged in a tamper-proof audit trail for verification and traceability.

Narrated video link (sample: https://bit.ly/4pvuNEL)

Expected impact of this automation

:white_check_mark: 90% reduction in redaction time per document

:white_check_mark: AI-driven accuracy with contextual PII detection

:white_check_mark: Automated policy enforcement and centralized control

:white_check_mark: Irreversible, audit-compliant redaction process

:white_check_mark: Seamless UiPath integration for scalable, enterprise-grade automation

:white_check_mark: Real-time compliance reporting and notifications

:white_check_mark: Supports multiple document types and formats

:white_check_mark: Minimizes human error and operational costs

UiPath products used (select up to 4 items)

UiPath Automation Cloud™
UiPath Coded Agents
UiPath Integration Service
UiPath Orchestrator
UiPath Studio Web

Integration with external technologies

Google Gemini

TO-BE workflow/architecture diagram (file size up to 4 MB)

Other resources

3 Likes

:waving_hand: Hi there, @AJ_Ask builder,

Thank you so much for being part of the Specialist Coded Agent Challenge. Your creativity, dedication, and automation skills truly blew us away! :collision:

Here’s what’s next:

:spiral_calendar: Nov 5–16: Jury evaluation by @eusebiu.jecan1 & @Adrian_Tamas + community voting
:trophy: Nov 17: Winners announced :tada:

Don’t forget the Community Choice Award, the best-voted project wins a $500 gift card + $60 UiPath Swag voucher! Voting is open till Nov 16, but remember that fresh accounts can’t vote (Level 1 access required, as we want to keep it fair and spam-free).

You’ve already won our admiration, now let’s see who takes home the big prizes :grinning_face_with_smiling_eyes:.

GOOD LUCK :four_leaf_clover: ,

Loredana