
Overview
Organizations handling sensitive data often face compliance risks when managing documents containing Personally Identifiable Information (PII). Manual redaction is time-consuming, inconsistent, and prone to human error. To address this, Optimus Information built the PII Data Redaction Agent, an AI-powered Microsoft Teams agent that automates the detection and redaction of PII across documents while maintaining compliance and audit readiness.
The PII Data Redaction Agent streamlines document sanitization workflows by using Azure AI models to intelligently detect sensitive data (like names, emails, and addresses), apply redactions, and allow human review, all within Teams. The result is faster processing, higher accuracy, and consistent compliance across all business units.
The Challenge
Enterprises and delivery teams often struggle with managing and sharing documents that contain sensitive or confidential information. Manual redaction processes are slow, inconsistent, and difficult to scale. Common challenges include:
- Manual review of large documents leading to high turnaround times
- Risk of human oversight in identifying sensitive PII
- Lack of standardized redaction formats across teams
- Inconsistent compliance with data privacy regulations (e.g., GDPR, CCPA)
- No centralized visibility into redaction history or audit trails
Organizations needed an intelligent, secure, and traceable approach to automatically identify and redact PII from documents before sharing them internally or externally.
The Solution
Optimus developed the PII Data Redaction Agent, a secure Teams-based AI assistant that automates sensitive data redaction from uploaded documents. Built on Azure OpenAI and Azure Cognitive Services, it intelligently detects PII entities, applies visual redactions, and enables user verification, ensuring both compliance and control.
The agent integrates seamlessly with Microsoft Teams, allowing users to upload files, preview redactions, approve changes, and export sanitized versions, all without leaving the Teams environment.
Key Capabilities
- Document Upload & Detection: Users can upload files (Word, PDF, Excel) directly in Teams. The agent scans the content using Azure AI models to detect PII such as names, phone numbers, addresses, and financial information.
- Automated Redaction Preview: The system applies visual redactions and generates a preview within Teams, allowing users to review before approval.
- Approval & Revision Workflow: Users can accept or reject suggested redactions through a conversational interface — for complete transparency and control.
- One-Click Export & Storage: Final redacted files are exported in secure formats.
Multi-Agent Architecture
At the core of the system is a multi-agent architecture, where each agent performs a specialized function while collaborating through a central orchestrator. Here’s how it works:
| Agent | Role |
| Redaction Orchestrator Agent | Manages overall workflow and communication between detection, redaction, and review modules |
| File Processing Agent | Handles file uploads, type identification, and conversion (PDF, Word, Excel) |
| PII Detection Agent | Identifies sensitive entities using Azure Cognitive Services and GPT models |
| Redaction Engine Agent | Applies visual or content-level redactions and prepares review versions |
| Review & Approval Agent | Presents redacted output for user validation and integrates feedback |
| Export & Compliance Agent | Finalizes approved documents, logs audit metadata, and uploads to SharePoint |
Deployment
- Platform: Microsoft Teams
- Auth & Data: Microsoft SSO (OAuth2), Microsoft Graph API, SharePoint API
- Tech Stack: Azure OpenAI (GPT-4), Azure Cognitive Services, Azure Functions, Cosmos DB, Teams M365 SDK
This secure and modular architecture ensures data confidentiality, traceability, and scalability for both internal and marketplace deployments.
The Results
By embedding the PII Data Redaction Agent within Microsoft Teams, Optimus significantly reduced the operational burden of manual redaction workflows.
Tangible Business Outcomes:
- 80% reduction in document sanitization time
- 95% accuracy in PII detection and masking
- 100% compliance with data handling policies and audit requirements
- Centralized visibility of redacted files and actions through SharePoint integration
Technologies Used
- Azure OpenAI (GPT-4)
- Azure Cognitive Services (Text Analytics for PII)
- Microsoft Teams
- Microsoft Copilot Studio
- SharePoint & Graph API
- Azure Functions
- Azure SQL Database
- OAuth2 (Microsoft SSO)
What’s Next
Future enhancements of the PII Data Redaction Agent will include support for image-based redaction using Azure Vision API, bulk document processing, and integration with Power Automate for enterprise-scale workflows. Optimus also plans to introduce detailed compliance analytics and reporting dashboards for audit readiness.
Contact Optimus to learn how we can help you leverage Agentic AI & Cloud services.
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