01
AI & Machine Learning
4 technologies
TensorFlowPyTorchAmazon SageMakerAmazon Comprehend
VerifiNow
Modernizing Compliance Workflows through AI/ML
VerifiNow uses AI/ML and AWS services to automate background screening workflows, analyze unstructured documents, improve verification accuracy, and deliver scalable compliance operations.
Technologies:AG GridAmazon S3AWSAWS LambdaPythonReact Native
Business Focus: Verification & Compliance Management
Case Study Summary
VerifiNow is a US-based background screening and compliance management company that helps HR teams and administrators manage background checks, document submissions, and compliance workflows. ExpertsCloud modernized its platform with AI/ML capabilities on AWS to automate document processing, improve verification accuracy, accelerate compliance workflows, and support large-scale operations. serverless verification and compliance platform built for businesses across healthcare, education, and corporate sectors. The platform provides secure verification workflows, document processing, real-time status tracking, and compliance management through web and mobile applications.ExpertsCloud modernized VerifiNow’s legacy system using a scalable AWS serverless architecture, React, React Native, AWS Lambda, API Gateway, and Amazon Cognito. The solution improved scalability, maintainability, security, and mobile accessibility while creating a strong foundation for future AI-driven document classification and compliance analytics.
Industry
Background Screening & Compliance
Timeline
24 Months
Platform
Web App, Mobile App
Architecture
AWS AI/ML Architecture
Business Challanges
01
Limited Automation
Gaps in fraud detection, compliance checks, and data validation limited workflow efficiency.
02
Manual Verifications
Slow and manual verification processes delayed onboarding and increased operational effort.
03
Unstructured Documents
High volumes of unstructured documents required time-consuming manual review and processing.
04
Maintenance Complexity
As product functionality and user requirements grew, maintaining and extending the existing platform became increasingly complex.
What ExpertsCloud Built
A scalable, secure, and mobile-ready verification platform designed for modern compliance workflows.
01
Automated Data Pipelines
Built scalable data pipelines using AWS Glue to cleanse and prepare candidate records for AI/ML processing.
02
Custom ML Models
Developed machine learning models using TensorFlow and PyTorch for classification, identity validation, and fraud detection.
03
Intelligent Document Processing
Implemented NLP capabilities using Amazon Comprehend to extract and analyze information from unstructured documents.
04
Real-Time Verification Engine
Built real-time verification workflows using AWS Lambda and Amazon API Gateway to support faster decision-making.
How We Solved the Challenge
We transformed VerifiNow’s legacy platform into a scalable, secure, and mobile-ready verification ecosystem.
01
Automated Data Preparation
Used AWS Glue to automate data cleansing and preparation, enabling candidate records to be processed efficiently at scale.
02
Applied Machine Learning
Implemented TensorFlow and PyTorch models to support document classification, identity validation, and fraud detection.
03
Scaled ML Operations
Used Amazon SageMaker to train, fine-tune, and deploy ML models while supporting scalable MLOps workflows.
04
Secure & Centralized Management
Implemented Amazon Cognito, multi-tenant authentication, admin controls, and audit logs to improve security, access management, and operational visibility.
Tech Stack
02
Data & Processing
4 technologies
AWS GlueAmazon S3AWS LambdaAmazon API Gateway
03
Security
4 technologies
AWS KMSAWS IAMRole-Based Access ControlPlatform Monitoring
Before VS After
Before
- Monolithic platform architecture
- Manual onboarding workflows
- Manual onboarding processes
- Limited mobile support
- Complex maintenance
VS
After
- Serverless AWS architecture
- Scalable microservices-based platform
- Streamlined verification workflows
- React web + React Native mobile apps
- Secure document processing
Results & Outcomes
A modernized verification platform built to support scalability, efficiency, security, and long-term growth.
- Accelerated verification workflows
- Reduced manual document processing
- Improved verification accuracy
- Enhanced fraud detection capabilities
- Automated compliance checks and validations
- Supported large volumes of concurrent requests
FREQUENTLY ASKED QUESTIONS
VerifiNow is a US-based background screening and compliance management platform that helps organizations manage background checks, document submissions, and compliance workflows.
The platform uses machine learning for document classification, identity validation, fraud detection, and intelligent verification workflows.
The platform was built using AWS, AWS Lambda, Amazon API Gateway, Amazon Cognito, React.js, and React Native, supported by a serverless microservices architecture.
The serverless architecture enabled VerifiNow to scale more efficiently, reduce infrastructure management complexity, and support a more modular and maintainable platform.
VerifiNow uses Amazon Cognito for authentication and authorization, along with multi-tenant access controls, secure document processing, and audit logging.