Automation
Overview
Email triage into 8 categories, auto-routes, and drafts replies with weekly client digest. Triage time 4m20s → 11s.
The challenge
The client faced operational challenges requiring an innovative solution.
The solution
We built a thoughtful solution combining cutting-edge AI technologies with software engineering best practices to achieve the desired outcomes.
Outcomes
Result:Triage 4m20s → 11s
Tech stack
Related work
Last-mile delivery operator (80 drivers) · Kuwait City
Automated route-optimisation and proof-of-delivery pipeline: aggregates Talabat and Salla orders, generates optimised multi-stop manifests, and sends Arabic SMS delivery notifications with live tracking links. Failed-delivery rate drops from 14% to 3.1%; driver idle time falls 28%.
Result:Failed deliveries 14% → 3.1%; driver idle time −28%
Ghost-kitchen operator (6 brands) · Abu Dhabi
Multi-aggregator order routing and inventory automation: normalises Deliveroo, Talabat, and Careem Now webhooks, auto-assigns prep stations by brand SLA, and triggers low-stock WhatsApp alerts. Order-error rate falls from 9.4% to 0.8%; kitchen throughput rises 31%.
Result:Order errors 9.4% → 0.8%; kitchen throughput +31%
Multi-specialty polyclinic (9 departments) · Doha
End-to-end insurance prior-authorisation automation: extracts treatment codes from doctor notes, submits PHCS-formatted PA requests to 14 insurers via API, and tracks approvals in a real-time dashboard. PA turnaround 5 days → 4 hours; rejection rate drops from 22% to 6%.
Result:PA turnaround 5 days → 4h; rejection rate 22% → 6%
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