The Problem
Traditional performance review processes often expose personal identities and bias-prone information, which can result in
Unconscious bias in evaluations
Privacy breaches or exposure of sensitive personnel data
Stigmatization and reduced trust in HR processes
Compliance risk under privacy regulations
The MAYA Approach
Secure, Bias-Minimised Employee Review with MAYA
MAYA’s privacy-centric solution ensures performance review data is anonymised and protected while still enabling accurate and fair assessments.
Evaluate performance without revealing individual identities
Enable cross-team reviews and structured evaluation workflows
Maintain full control over sensitive performance records
How It Works
How MAYA Secures Training Data
01
Data Ingestion & Classification
Securely collect review data from HR systems, appraisal tools, or spreadsheets without storing unnecessary personal identifiers.
02
Automated Anonymisation
Transform performance metrics into anonymized datasets so identities are not revealed to reviewers - preserving privacy and reducing bias.
03
Controlled Evaluation Layer
Managers and HR teams access only privacy-safe information that supports fair comparative evaluation.
04
Workflow & Governance
Flexible governance controls allow authorised personnel to view, compare, and score anonymised reviews in compliance with internal policies.
05
Outcome Insights & Reporting
Generate analytics and recommendation reports while keeping personal details masked empowering data-driven decisions without exposing sensitive data.
Business Benefits
Reduce Legal & Compliance Risk
Improve Trust & Retention
Optimize HR Decisions
Secure & compliant data sharing
Ready to Build Responsible AI?
Speak to a Maya expert to see how we can help your team deliver smarter, safer AI with confidence