AI & Data Published: 01 Apr 2026 · Reading time: 5 min read

Building AI Observability for Mission-Critical Apps

Telemetry recipes for tracking drift, bias, and latency in national-scale AI services.

Author: Hassan Al-Mansour · Head of Intelligent Platforms

Streaming dashboards surface anomalies in under 60 seconds.

Bilingual evaluation sets catch linguistic bias early.

Automated rollback plans guard against costly downtime.

Instrument every model touchpoint

We capture prompts, feature vectors, inference metadata, and downstream actions to understand exactly how models behave in production.

Operations teams receive curated cases each week, mixing Arabic and English data, to score relevance, fairness, and impact.

Insights travel back into retraining sprints, feature flags, and rollback plans so nothing stays theoretical.

Community discussion

Reem Al-Salem

AI Program Manager

03 Apr 2026

Love the mention of bilingual eval sets—rarely discussed publicly.

Faisal Al-Dosari

Data Platform Lead

06 Apr 2026

How do you version prompts? Would like a follow-up article.