Digital Identity Automation Engine

DashDevs partnered with the institution to design and implement a secure, fully automated onboarding architecture powered by Nafath. The solution improved onboarding speed, data quality, and risk-scoring accuracy—delivering a scalable foundation for future digital identity use cases.
  • Location SAUDI ARABIA
  • Industry Banking
  • Team Size N/A
  • Duration Ongoing
  • Budget NDA
Case mobile app interface

Challenges

NDA mobile app screen
  1. High onboarding drop-off due to manual data entry, slow verification, and inconsistent identity information.

  2. Fragmented and outdated customer records caused operational inefficiencies without direct Nafath connectivity.

  3. Incomplete or inconsistent data reduced the accuracy of AML/KYC checks and overall risk assessments.

  4. No automated two-way sync with Nafath, combined with limited internal engineering capacity, slowed integration and increased reliance on manual processes.

Solution

DashDevs designed and deployed an automated digital identity pipeline centered on secure communication with Nafath.
The integration retrieves encrypted customer information, validates it against internal systems, and continuously synchronizes updates—creating a dynamic, accurate, and regulator-aligned onboarding experience. This setup significantly reduced manual inputs, improved data integrity, and strengthened compliance, forming the basis for future NAFAT-based authentication, which allows users to securely log in to fintech and banking apps through their verified digital identity.

NDA mobile app activity

our input

  • UI/UX Design

  • Solution arcitecture

  • Ios development

  • Android development

  • Back-end Development

  • Front-end Development

  • Quality Assurance

  • Cloud & Devops

  • Business analysis

  • Project management

RESULTS

With the trust of our partners, we have created a solution that not only meets the needs of users but also aligns with their values and contributes to a more sustainable future.

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    30%
    REDUCTION IN ONBOARDING ABANDONMENT

    A cleaner data flow, automated ID retrieval, and fewer manual inputs significantly decreased drop-off during account creation.

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    20%
    FASTER ONBOARDING TIME (5 → 4 MINUTES)

    Streamlined identity checks, fewer user actions, and real-time data validation shortened the full onboarding journey by roughly one minute.

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    20%
    IMPROVEMENT IN RISK-SCORING ACCURACY

    Consistent identity data, improved verification logic, and automated updates increased the precision of KYC, AML, and overall risk assessment.

Platform Features

NDA app filter results
  • Automated identity retrieval from NAFAT

  • Automated onboarding and KYC data updates

  • Enforced secure ID-card verification

  • Decryption and validation of customer identity attributes

  • Enhanced AML and risk-scoring accuracy

  • Improved data consistency across CRM, onboarding, and risk systems

  • Continuous synchronization of customer profiles

  • Reduced operational workload through process automation

how we did it

  • SECURE NAFATH-READY API INTEGRATION

    Encrypted, standards-aligned connectivity ensuring compliant identity retrieval across all touchpoints
  • REDUCTION IN MANUAL PROFILE FIXES

    Automated patching workflows keep identity records accurate without human intervention.
  • FASTER INTERNAL ALIGNMENT

    Scalable technical blueprints and architecture diagrams streamline cross-team communication and future development.
  • ms REAL-TIME IDENTITY PIPELINE

    Encrypted, standards-aligned connectivity ensuring compliant identity retrieval across all touchpoints
  • UNIFIED
ONBOARDING + CRM + RISK ARCHITECTURE

    Centralized flow feeding verified identity data into onboarding, customer systems, and risk engines.
  • FAIL-SAFE
ERROR & AUDIT CONTROLS

    Robust monitoring, traceability, and reliable fallback handling for regulator-ready oversight.
  • KPI-DRIVEN
PERFORMANCE FRAMEWORK

    Structured measurement model tracking onboarding speed, abandonment rates, and identity data quality.

Technologies
we used

  • Technologies icon

    .Net & .Net Core

  • Technologies icon

    Kotlin

  • Technologies icon

    Swift

  • Technologies icon

    React

  • Technologies icon

    AWS

The Product Development Process

  • Product vision

    The goal was to create a faster, compliant onboarding flow powered by a national digital identity source. DashDevs helped define a roadmap that placed Nafath at the center while aligning with Saudi Arabia’s three compliance pillars: AML controls, fraud prevention, and SAMA Tanfeeth as the automation layer for communication with the Central Bank.

    1
  • Architecture Design

    DashDevs built a secure identity pipeline around Nafath—covering encrypted requests, retrieval, decryption, validation, and real-time patching. The design strengthened AML and fraud processes through clean data, while Tanfeeth was approached as a regulatory-communication framework that accelerates decisions, ensures immediate information access, and supports national financial safety.

    2
  • System Development

    The team implemented secure API integration, identity dataset processing, synchronization workflows, and risk-enrichment logic. AML, fraud, and Tanfeeth each received dedicated capabilities—from improved scoring accuracy to compatible fraud signals to audit-ready reporting flows—brought together through a unified orchestration layer.

    3
  • Cross-Team Collaboration

    DashDevs worked closely with product, engineering, and compliance teams to refine flows, documentation, and KPIs. Technical diagrams clarified how AML, fraud, and Tanfeeth fit into one coordinated architecture, ensuring smooth implementation and future scalability.

    4
  • Future Opportunities

    The system now provides a foundation for deeper SAMA-aligned automation, including upcoming Nafath-based authentication and faster Central Bank communication—pushing the institution toward a fully orchestrated financial-safety and compliance ecosystem.

    5

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