CASE STUDY • APPLICATION ENGINEERING • APPLIED AI

Delivering and Operating a Federal Loyalty Platform

Engineered and supported a multi-channel loyalty platform with controlled integration, machine-learning capabilities and managed operations.

20 months Delivery lifecycle
24×7 Bilingual support
Multi-channel Citizen experience
ML-enabled Programme intelligence

The Mandate

Develop and operate a scalable, multi-channel loyalty platform supporting citizen engagement, controlled rewards and ongoing service delivery.

  • Deliver a scalable multi-channel loyalty application core
  • Integrate programme logic with wider government initiatives
  • Apply machine learning for detection and offers
  • Operate bilingual managed support at production scale

Delivery Responsibility

Citizen channels

Web and mobile journeys for registration and programme interaction.

Loyalty application core

Modular cloud architecture with controlled data and caching.

Programme services

Membership, rewards and integration with government initiatives.

Managed operations

Lifecycle support with bilingual operational assistance.

Measurable Change

20 months

Implementation and managed delivery lifecycle.

24×7

Arabic and English operational support.

Machine-learning services for unusual-activity detection and offers.

Engineering Controls

Controlled integration

Programme logic and partner integrations under delivery standards.

Data foundation

Governed data services supporting loyalty and ML workloads.

Service management

Tiered operational controls across the platform lifecycle.

Operational support

Bilingual assistance and ongoing platform stewardship.

Relevant where citizen engagement platforms require controlled delivery and continuous operations

Discuss a platform-delivery requirement.

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Connected capabilities Application Engineering Applied AI
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