Vault: Automated De-Identification Solution Powered by Multi-Tenant Architecture & Cognitive Workflow Acceleration

A leading enterprise data stewardship provider partnered with NextGen Invent to transform its time-intensive de-identification process into a fully automated, scalable, and audit-ready solution. Their legacy approach required nearly three days of software development effort for each client configuration, limiting their ability to meet rapidly increasing onboarding demand. We collaborated with them to architect a multi-tenant de-identification engine that automated configuration generation, reduced effort from 3 days to just 1 hour, and enabled the solution to efficiently support 500+ clients monthly.

The automated de-identification solution enhanced data privacy, ensured regulatory compliance, and improved operational efficiency, positioning the client as a secure, scalable, enterprise-grade platform built for automation and trust.

The client is a data stewardship and compliance software provider specializing in automated de-identification, data contract management, data transformation, quality rules, and the secure handling of sensitive information. The solution enables enterprises to safeguard data assets while ensuring adherence to privacy and regulatory standards. There mission is to simplify and automate data governance with an intelligent, configuration-driven system that minimizes human intervention, enhances accuracy, accelerates compliant data processing at scale, and delivers secure, automated de-identification for enterprise use.

3 Days → 1 Hour Reduced De-Identification Configuration Time

500+ Clients / Month ↑ Without Additional Engineering Headcount

Industry

HealthCare

Business Problem

Sluggish Client Onboarding & Scalability Constraints: Manual workflows required 3 days of engineering effort per client, severely slowing onboarding velocity. This bottleneck made it impossible to support the target of 500+ monthly onboardings, directly capping revenue growth, customer acquisition, and market expansion potential.

Error-Prone and Inconsistent Configuration Management: Each customer required unique data masking templates, manually configured by developers, resulting in inconsistent outputs, frequent human errors, and recurring rework cycles.

Absence of a Centralized, Multi-Tenant Solution: Without a unified system to manage client configurations, audit logs, version controls, and licensing, teams struggled with fragmented oversight. This lack of centralized governance created operational blind spots, reduced transparency, inflated maintenance costs, and made regulatory compliance and scaling across customers increasingly difficult.

Solution Approach

Automated De-Identification Solution: Developed an automation-driven configuration engine that converts complex mapping rules into macro-enabled templates, eliminating manual coding and standardizing de-identification setup. This drastically reduced engineering effort, accelerated configuration creation, and ensured consistent, compliant outputs across diverse data requirements.

Integrated Code Generator with Web Application: Embedded a low-code code generator directly into the web application, enabling business users to create complete de-identification components without developer involvement. This streamlined onboarding, eliminated dependency on engineering teams, reduced turnaround time, and empowered self-service configuration at scale.

Multi-Tenant SaaS Architecture with Full Auditability: Developed a secure, enterprise-grade multi-tenant architecture with role-based access, license controls, and comprehensive audit trails. Every activity, from configuration changes to system communication, is logged to ensure regulatory compliance, traceability, data governance, and seamless scaling across hundreds of client environments.

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Value Delivered

The Automated De-Identification solution transformed the client’s operating model by enabling high-speed, compliant, and error-free onboarding at scale. Automation reduced configuration effort from three days to just one hour, significantly boosting operational throughput and supporting 500+ monthly client onboardings, without increasing engineering capacity. The introduction of robust audit logging and a non-human-interference design strengthened product reliability, security, and compliance posture.

Leveraging AWS services and open-source technologies, the solution enhanced data privacy, eliminated manual errors, and enhanced secrets management for safer access and control. With enterprise-grade scalability, strong governance, and measurable efficiency gains, the solution is now positioned as a secure, future-ready de-identification solution for global clients.

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