Case Studies
Real projects we've delivered for clients across Egypt. From legacy modernization to greenfield AI platforms.
Ruh Life Insurance — Digital Policy Management Platform
Client: Ruh Life Insurance
Industry: Life Insurance
Timeline: 10 weeks
Team: 4 engineers + 1 UX designer
Ruh needed to replace a paper-heavy policy issuance process with a fully digital platform. Agents were spending 3+ days per policy, and customer onboarding had a 40% drop-off rate.
What we built: A web-based policy management system with automated underwriting workflows, digital document signing, and a customer self-service portal.
Results: Policy issuance time dropped from 3 days to under 4 hours. Customer onboarding completion improved to 87%. The platform now processes 500+ policies monthly.
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Weqaya Healthcare — AI-Powered Claims Processing
Client: Weqaya Healthcare
Industry: Health Insurance
Timeline: 12 weeks
Team: 5 engineers + 1 data scientist
Weqaya was drowning in manual claims reviews. A team of 20 reviewers processed 200 claims per day, with a 15% error rate and frequent customer complaints about delays.
What we built: An intelligent claims processing engine using machine learning to auto-approve low-risk claims, flag anomalies for review, and integrate directly with hospital management systems.
Results: Claims processing capacity increased to 1,200 per day with the same team. Error rate dropped to 3%. Average customer response time improved from 5 days to same-day.
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Imdad Car Insurance — Real-Time Claims & AI Risk Scoring
Client: Imdad Car Insurance
Industry: Auto Insurance
Timeline: 8 weeks
Team: 3 engineers
Imdad wanted to differentiate with instant claim filing and AI-driven risk assessment at the point of quote — something no competitor in their market offered.
What we built: A mobile-first claims platform with photo-based damage assessment, GPS-verified incident reporting, and an ML model that scores driver risk from telematics data.
Results: 60% of claims now filed through the mobile app within 30 minutes of an incident. Quote accuracy improved by 22% using the risk model. Customer satisfaction scores rose from 3.2 to 4.6 out of 5.
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