EASA AI Alignment Guide for Certifiable Systems
Treat EASA alignment as an early task: define AI role and boundaries, map requirements, use runtime guards, and retain traceable evidence.
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Articles tagged “Data Governance” on Ryshe.
Treat EASA alignment as an early task: define AI role and boundaries, map requirements, use runtime guards, and retain traceable evidence.
How AI scorecards spot supplier risk - focusing on data quality, explainable models, and governance for reliable action.
Standardize intake, score use cases, enforce governance, and plan delivery waves to turn Azure AI requests into funded roadmaps.
AI methods to detect and stop free-trial abuse: anomaly detection, identity clustering, behavior scoring, velocity checks, pattern matching.
Turn aircraft, maintenance, parts, and shop data into actionable 1-, 7-, and 30-day readiness forecasts.
Prep, capture, and automate sales meetings in Teams, Outlook, SharePoint, and Dynamics 365 to reduce admin and improve CRM quality.
Connect telemetry, maintenance, quality, and supplier data in Azure to score risk, trigger alerts, and power role-based reviews.
Treat Azure AI workflow evaluation as continuous: batch tests, shadow runs, human review, threshold tuning, and cross-system validation.
Enable gateway logs, KQL, metrics, correlation IDs and alerts to spot latency, errors, and AI budget issues in Azure APIM.
Copilot escalations fail from missing plant context, poor routing, and buried controls. Fix with structured handoffs, routing, and audits.
Compare polling and webhook patterns in Logic Apps—trade-offs in latency, API load, security, and when a hybrid fits.
Turn Azure forecasts and schedules into task-level go/no-go decisions, dashboards, and auditable workflows that cut false alerts and delays.