Serverless AI Document Validation for Scalable Healthcare Onboarding
Metropolis
AI-Powered Compliance Automation Platform
- Industry
- Healthcare / Diagnostics
- Solution
- AI-Driven Compliance Automation Platform
- Technologies
- AWS S3AWS LambdaAWS BedrockServerless ArchitectureSST FrameworkAI Document ProcessingAPI WorkflowsSalesforce Integration
About the Project
Project Overview
Metropolis Healthcare required modernization of its compliance document verification process to eliminate manual dependency and accelerate client onboarding and centre activation.
APPGAMBiT designed and developed an AI-powered document validation platform built on a secure, serverless AWS architecture. The system functions as an intelligent middleware layer between Salesforce and internal compliance operations.
Using asynchronous batch processing, AI-driven document intelligence, and automated rule enforcement, the platform validates high-volume onboarding documents within seconds. The solution delivers scalable, secure, and audit-ready compliance automation aligned with enterprise healthcare standards.
The Challenge
What We Were Up Against
Compliance verification relied heavily on manual document review, creating operational bottlenecks, high turnaround times, and increased risk of human error across growing B2B and B2C onboarding workflows.
Manual Document Verification at Scale
Critical compliance documents such as PAN, Aadhaar, GST certificates, and property records required human validation, significantly slowing onboarding and increasing dependency on operational teams.
Cross-Document Data Inconsistencies
Frequent mismatches in names, identifiers, and entity details across documents led to errors, rework cycles, and compliance uncertainty in client code creation workflows.
High Turnaround Time & Bottlenecks
Manual verification processes delayed new centre activation and client onboarding, restricting the organization's ability to scale operations efficiently.
Limited Process Standardization
Lack of structured rule enforcement resulted in inconsistent compliance decisions and fragmented reporting formats across teams.
Scalability Constraints
As onboarding volume increased, the system struggled to maintain speed, accuracy, and operational control without proportionally increasing manpower.
The Solution
How We Built the Path Forward
APPGAMBiT implemented an API-first, AI-driven compliance validation platform leveraging serverless AWS infrastructure to automate document intelligence, enforce business rules, and generate CRM-ready outputs in real time.
Secure Batch Upload Framework
ZIP-based S3 pre-signed uploads with automated extraction and classification workflows.
Asynchronous Serverless Processing
Event-driven Lambda architecture enabling scalable, non-blocking validation pipelines.
AI-Powered Document Intelligence
Integrated AWS Bedrock for structured data extraction and cross-document verification.
Automated Compliance Rule Engine
Dynamic validation rules detecting mismatches, missing files, and expired certificates.
Salesforce-Ready Structured Output
Generated standardized objects mapped directly for seamless CRM integration.
The Outcome
The Result
The AI validation platform transformed compliance operations from manual dependency to intelligent automation. Document validation time was reduced to 20–60 seconds per job, dramatically accelerating onboarding and centre activation. Human verification errors were nearly eliminated, and compliance reporting became standardized and audit-ready. The scalable serverless architecture now supports growing B2B and B2C volumes with precision, speed, and enterprise-grade reliability.
Turn Your Vision Into a Scalable Digital Reality
Let's discuss how APPGAMBiT can engineer your next platform.
