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Smart.Citizen.ID IQ

Smart.Citizen.ID IQ is a fully managed service that enables organizations to quickly and accurately capture, classify, extract, and enrich data from national ID documents using advanced AI capabilities. By leveraging Amazon Textract, Amazon Rekognition, Amazon Comprehend, and other AWS AI services, Smart.Citizen.ID IQ streamlines the process of digitizing and verifying citizen identity information in a secure, scalable, and compliant manner.


Smart.Citizen.ID IQ is an AI-powered managed service that automates the capture, extraction, and validation of citizen data from national IDs. Using advanced AWS AI services like Amazon Textract, Amazon Rekognition, and Amazon Comprehend, Smart.Citizen.ID IQ enables any organization to quickly and accurately digitize citizen IDs at scale, reducing manual effort while ensuring data quality and compliance. By providing intelligent automation for citizen data workflows, Smart.Citizen.ID IQ helps organizations onboard citizens faster, deliver services more efficiently, and build more personalized citizen experiences.

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What we offer ?

AI-automated capture, extraction, and validation of citizen data from national IDs.

For Who ?

Any organization needing to digitize and verify citizen identity information at scale.

Smart.Citizen.ID IQ leverages AWS AI services (Textract, Rekognition, Comprehend, etc.) in a fully managed workflow to intelligently process national IDs and extract key data fields with high accuracy.

How do we Leverage AWS ?

Financial Benefits
  • Intelligent automation reduces labor costs associated with manual ID data entry and verification

  • High-accuracy data extraction minimizes costly errors and rework
    Serverless, pay-per-use model scales costs with usage, avoiding upfront infrastructure investment

  • Faster, streamlined ID workflows enable earlier revenue recognition and improved cash flow

  • Reusable architecture components lower development costs for future ID-based applications

Operational Benefits
  • Automated data capture eliminates manual entry, reducing errors and processing time

  • Advanced AI enables high-accuracy extraction of ID fields and flags low-confidence data for review

  • Pre-built workflow orchestrates multiple AWS AI services for seamless end-to-end ID processing

  • Scalable architecture can handle high-volume ID processing workloads without performance degradation

  • Fully managed service abstracts underlying AI/ML complexity, enabling teams to focus on business use cases

Benefits of the Cloud Adoption Framework

By integrating Smart.Citizen.ID IQ with the AWS Cloud Adoption Framework across these perspectives, organizations can realize significant benefits in terms of business agility, operational efficiency, security, and compliance. The combination of intelligent automation, standardized workflows, and robust cloud infrastructure enables organizations to transform their citizen identity management practices and unlock new opportunities for innovation and growth.

Business Perspective
  • Accelerated time-to-market for citizen-facing applications that require validated ID information

  • Improved citizen onboarding and service delivery through streamlined ID processing workflows

  • Increased operational efficiency and cost savings through automated data capture and validation

  • Enhanced citizen trust and satisfaction through secure, accurate, and privacy-compliant ID handling

  • Enablement of new business models and revenue streams based on verified citizen identity data

People Perspective
  • Empowerment of non-technical teams to leverage advanced AI capabilities for ID processing

  • Increased employee productivity and job satisfaction by automating manual, repetitive data entry tasks

  • Upskilling opportunities for employees to learn and work with cutting-edge AI and cloud technologies

  • Improved collaboration and knowledge sharing across teams through standardized ID processing workflows

  • Better alignment of IT and business teams around common objectives for citizen identity management

Governance Perspective
  • Standardization of ID processing workflows across the organization for consistent, auditable results

  • Centralized control and visibility over sensitive citizen ID data through unified monitoring and logging

  • Automated enforcement of data privacy and security policies throughout the ID processing lifecycle

  • Simplified compliance with industry-specific regulations (e.g., KYC, AML) and data protection laws (e.g., GDPR)

  • Reduced risk of errors, fraud, and data breaches through intelligent automation and validation checks

Platform Perspective
  • Rapid provisioning and scaling of secure, compliant infrastructure for ID processing workloads

  • Seamless integration with existing AWS data stores, analytics tools, and citizen-facing applications

  • Automatic patching, updates, and optimization of underlying infrastructure components

  • Flexibility to adapt and extend the ID processing architecture as business needs evolve

  • Consistent management and monitoring of ID processing workflows across development, test, and production environments

Security Perspective
  • Protection of sensitive citizen ID data through encryption, access controls, and secure data lifecycle management

  • Continuous monitoring and automated remediation of security vulnerabilities and configuration drift

  • Granular authentication and authorization for all system components and user interactions

  • Adherence to AWS security best practices and shared responsibility model for cloud security

  • Regular security audits and penetration testing to validate the integrity of the ID processing system

Operation Perspective
  • Proactive monitoring and alerting for ID processing workflow health, performance, and availability

  • Automated incident response and recovery processes to minimize downtime and data loss

  • Intuitive dashboards and reports for tracking key ID processing metrics, SLAs, and operational KPIs

  • Integration with existing IT service management (ITSM) tools and processes for streamlined operations

  • Continuous improvement of ID processing workflows based on operational data and user feedback

Leveraging AWS Well-Architected Framework

By architecting Smart.Citizen.ID IQ using these AWS products and aligning with the Well-Architected Framework best practices, organizations can achieve a robust, flexible, and future-proof solution for their citizen ID digitization needs. The serverless architecture allows for seamless scaling, cost optimization, and operational simplicity, enabling organizations to focus on delivering value to their citizens rather than managing underlying infrastructure

AWS products that can be integrated into Smart.Citizen.ID. These products enhance Smart.Citizen.ID IQ's capabilities in extracting insights and understanding structured and unstructured data:


  • AWS Lambda for energy-efficient, serverless compute

  • AWS Fargate for running containers without managing servers

  • Amazon S3 for durable, scalable, and intelligent storage of ID documents

  • Amazon Elastic File System (EFS) for serverless, elastic file storage​

  • Amazon DynamoDB for serverless, scalable NoSQL storage of ID metadata

  • Amazon Aurora Serverless for auto-scaling, serverless relational database​

  • Amazon Textract for efficient and accurate extraction of text and data from ID documents

  • Amazon Rekognition for scalable image analysis and facial comparison

  • Amazon Comprehend for natural language processing and entity extraction

The Core

Operational Excellence Pillar

  • Amazon CloudWatch: Monitoring and logging of ID processing workflows and infrastructure metrics

  • AWS Lambda: Serverless compute for executing ID processing workflow steps and business logic

  • Amazon EventBridge: Event-driven orchestration of ID processing workflow steps and integration with other AWS services

  • AWS Step Functions: Coordination and visual design of ID processing workflows, including error handling and retry logic

  • Amazon API Gateway: Creation and management of secure, scalable APIs for invoking ID processing workflows

  • AWS CloudTrail: Auditing and governance of API calls and user actions within the ID processing system

  • Amazon Cognito: User authentication, authorization, and secure access control for ID processing workflows and APIs

  • AWS Identity and Access Management (IAM): Fine-grained permissions management for all system components and user roles

  • AWS Key Management Service (KMS): Secure management of encryption keys used for protecting sensitive ID data

  • Amazon Macie: Automated discovery, classification, and protection of sensitive data within ID processing workflows

  • AWS Secrets Manager: Secure storage and retrieval of database credentials, API keys, and other secrets

  • AWS WAF: Web application firewall for protecting ID processing APIs against common web exploits and attacks

Security Pillar

Reliability Pillar

  • Amazon S3: Highly durable and available storage for ID document images and metadata

  • Amazon DynamoDB: Scalable, high-performance NoSQL database for storing extracted ID data and workflow state

  • AWS Lambda: Fault-tolerant, auto-scaling execution of ID processing workflow steps

  • Amazon CloudFront: Reliable, low-latency content delivery for ID processing APIs and user interfaces

  • AWS Shield: DDoS protection for ensuring the availability and resilience of ID processing workflows and APIs

  • Amazon Textract: Accurate and efficient extraction of text, handwriting, and data from ID document images

  • Amazon Rekognition: Fast and scalable image analysis for facial comparison, document classification, and liveness detection

  • Amazon Comprehend: Natural language processing and entity extraction from unstructured ID data fields

  • AWS Lambda: High-performance, auto-scaling execution of ID processing workflow steps

  • Amazon Elastic Container Registry (ECR): Secure, private storage for custom Docker images used in ID processing workflows

  • Amazon ElastiCache: In-memory caching for improved performance of frequently accessed ID data and API responses

Performance Efficiency Pillar

Cost Optimization

  • AWS Lambda: Pay-per-use, zero-waste compute resources for executing ID processing workflows

  • Amazon S3 Intelligent-Tiering: Automatic cost optimization of ID document storage based on access patterns

  • Amazon DynamoDB on-demand capacity mode: Pay-per-request pricing for ID metadata storage, avoiding over-provisioning

  • AWS Cost Explorer: Detailed cost visibility and optimization recommendations for ID processing infrastructure and usage

  • AWS Budgets: Cost tracking and alerting to ensure ID processing costs stay within defined limits

  • Amazon CloudWatch: Monitoring and optimization of resource utilization to minimize waste and inefficiency

  • Energy efficiency and carbon reduction through the use of serverless computing, resource optimization, and monitoring.

  • Sustainable data management practices, such as data lifecycle policies, intelligent tiering, and sensitive data protection.

  • Sustainable software development practices, including modular design, code reuse, and efficient algorithms.

  • Societal impact and benefits, such as supporting digital inclusion, streamlining citizen engagement, and enabling decentralized service delivery.

  • Sustainability reporting and governance, including tracking sustainability metrics, setting goals, and engaging with AWS sustainability experts.

Sustainability Pillar

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