Reporting agents
Overview
Weekly pipeline agent with 8 at-risk rules and 3-band forecast. Prep 2h30m → 6min; forecast accuracy ±19% → ±7%.
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:Prep 2h30m → 6min; accuracy ±19% → ±7%
Tech stack
Related work
SME lending platform · Riyadh
Daily 07:30 AST credit-portfolio briefing: 12-rule anomaly engine flags early-delinquency signals, auto-generates SAMA Fintech Unit-compliant risk summary PDF, and pushes WhatsApp alert to credit committee. Portfolio review prep 4 h → 19 min; delinquency early-detection rate rises from 41% to 89%.
Result:Portfolio prep 4h → 19min; early-delinquency detection 41% → 89%
Full-service digital marketing agency · Riyadh
Automated weekly client performance report: aggregates Google Ads, Meta, TikTok, and GA4 data, applies 9-rule anomaly engine, and delivers a branded Arabic PDF plus WhatsApp voice-note summary to each client. Report prep 3.5 h → 14 min per client; client churn drops 22%.
Result:Report prep 3.5h → 14min/client; client churn −22%
Long-haul trucking company (42 trucks) · Dammam–Riyadh corridor
Daily fleet-pulse report: GPS telematics anomaly engine (harsh braking, idle-excess, route deviations), automated SFDA waybill-compliance checks, and WhatsApp driver-alert system. Fuel cost per km drops 14%; SFDA compliance violations fall from 22/month to 1.
Result:Fuel cost/km −14%; SFDA violations 22 → 1/month
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