{"id":4282,"date":"2026-10-07T23:02:49","date_gmt":"2026-10-08T03:02:49","guid":{"rendered":"https:\/\/www.airsupervision.com\/wp-r\/docs\/organization-staff\/maintenance-center\/risk-heatmap-and-ai-assessment\/"},"modified":"2026-10-07T23:02:49","modified_gmt":"2026-10-08T03:02:49","slug":"risk-heatmap-and-ai-assessment","status":"publish","type":"docs","link":"https:\/\/www.airsupervision.com\/wp-r\/docs\/organization-staff\/maintenance-center\/risk-heatmap-and-ai-assessment\/","title":{"rendered":"Risk Heatmap and AI assessment"},"content":{"rendered":"\n<style>.single-docs .screenshot-admin-note{display:none!important}<\/style>\n\n\n\n<h2 class=\"wp-block-heading\">16. Risk Heatmap<\/h2>\n\n\n\n<p>Risk Heatmap compares pilot-squawk rates per 100 flight hours with the median for aircraft of the same type. It is designed to reveal unusual patterns after adjusting for utilization.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Select the date range.<\/li><li>Select <strong>ALL<\/strong> or one or more resource types.<\/li><li>Select <strong>Filter!<\/strong>.<\/li><li>Review the fixed context columns and then the system-tag cells.<\/li><\/ol>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-risk-heatmap-filter | Capture: Date range, multi-select resource types, Filter button, and legend.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">16.1 Read the table<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Column\/cell<\/th><th>Meaning<\/th><\/tr><\/thead><tbody><tr><td>Resource Type \/ Registration<\/td><td>Aircraft being compared within its type.<\/td><\/tr><tr><td>First Activity \/ Last Activity<\/td><td>Activity coverage in the selected period.<\/td><\/tr><tr><td>Total flight hours<\/td><td>Exposure used to normalize the rate.<\/td><\/tr><tr><td>Max \u0394%<\/td><td>Worst deviation for that aircraft across displayed tags.<\/td><\/tr><tr><td>Tag cell<\/td><td>Percentage deviation for that system tag; a dash means no comparable result.<\/td><\/tr><tr><td>Background color<\/td><td>Fewer or more squawks than typical for the same aircraft type.<\/td><\/tr><tr><td>Up\/down trend marker<\/td><td>Worsening or improving trend.<\/td><\/tr><tr><td>Abnormal marker<\/td><td>A newly emerging deviation.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Hover a tag cell to see status, deviation, rate per 100 flight hours, type median, squawk count, comparison span, new-deviation status, and trend interpretation.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-risk-heatmap-table | Capture: Heatmap with context columns, several tag cells, legend, worsening\/improving markers, and an abnormal marker.&#93;<\/code><\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-risk-heatmap-tooltip | Capture: One cell tooltip showing deviation, rate\/100FH, type median, count, comparison span, and trend.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">16.2 Use the heatmap responsibly<\/h3>\n\n\n\n<p>The heatmap identifies where review may be valuable; it does not confirm a defect. Consider:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Flight hours and number of squawks<\/li><li>Whether the comparison period is representative<\/li><li>Quality and consistency of pilot reporting<\/li><li>Recent maintenance or operational changes<\/li><li>The individual descriptions and technical findings<\/li><\/ul>\n\n\n\n<p>Use a worsening or new deviation to prioritize inspection and monitoring, not to replace an approved troubleshooting or release process.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">17. AI tab<\/h2>\n\n\n\n<p>When enabled and authorized, the AI tab presents a <strong>Weekly Aircraft Maintenance Reliability Assessment<\/strong> derived from statistically prepared pilot-squawk and flight-hour information.<\/p>\n\n\n\n<p>The report is decision support only. It does not alter the underlying records and does not replace approved maintenance procedures, regulatory records, inspection findings, or authorized judgment.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-ai-overview | Capture: AI tab title, decision-support warning, and the complete weekly report area.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">17.1 Fleet overview, Trend analysis, and Summary<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Fleet overview<\/strong> shows related aircraft, related systems, alerts, critical items, and new deviations.<\/li><li><strong>Trend analysis<\/strong> counts worsening, improving, and stable systems and may include commentary.<\/li><li><strong>Summary<\/strong> states the report period, overall risk level, and key message.<\/li><\/ul>\n\n\n\n<p>Check the report period and limitations before using any count. Low hours, inactivity, or missing information can reduce confidence without implying a defect.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-ai-summary | Capture: Fleet overview KPIs, Trend analysis, Summary period, risk level, and key message.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">17.2 Maintenance priorities and Limitations<\/h3>\n\n\n\n<p><strong>Maintenance priorities<\/strong> lists focus areas with supporting rationale. <strong>Limitations<\/strong> identifies constraints on the analysis. Review limitations first when a recommendation seems surprising or conflicts with operational knowledge.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-ai-priorities-limitations | Capture: Maintenance priorities and Limitations sections with multiple entries.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">17.3 Aircraft findings<\/h3>\n\n\n\n<p>Each aircraft finding can show:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Overall status<\/li><li>Registration and type<\/li><li>System tag<\/li><li>Severity<\/li><li>Trend<\/li><li><strong>NEW<\/strong> marker<\/li><li>Suggested action such as inspect, schedule maintenance, or immediate attention<\/li><li>Plain-language maintenance interpretation<\/li><\/ul>\n\n\n\n<p>Treat the suggested action as a prompt for authorized review. Open the original squawks, compare current status, and record the actual disposition in the proper maintenance records.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-ai-aircraft-findings | Capture: Aircraft findings showing severity, trend, NEW marker, suggested action, and interpretation.&#93;<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">17.4 Systemic patterns<\/h3>\n\n\n\n<p>Systemic patterns identify recurring fleet-wide tags, affected-aircraft count, description, possible causes, and suggested fleet action. Validate common reporting practices and aircraft-type differences before treating a pattern as common cause.<\/p>\n\n\n\n<p class=\"screenshot-admin-note\"><code>&#91;SCREENSHOT: maintenance-ai-systemic-patterns | Capture: Systemic pattern with affected-aircraft count, description, possible causes, and fleet action.&#93;<\/code><\/p>\n","protected":false},"featured_media":0,"parent":4272,"menu_order":8,"template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs\/4282"}],"collection":[{"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/types\/docs"}],"version-history":[{"count":0,"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs\/4282\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs\/4272"}],"next":[{"title":"Maintenance tasks","link":"https:\/\/www.airsupervision.com\/wp-r\/docs\/organization-staff\/maintenance-center\/maintenance-tasks\/","href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs\/4283"}],"prev":[{"title":"Status Board","link":"https:\/\/www.airsupervision.com\/wp-r\/docs\/organization-staff\/maintenance-center\/status-board\/","href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/docs\/4281"}],"wp:attachment":[{"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/media?parent=4282"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/www.airsupervision.com\/wp-r\/wp-json\/wp\/v2\/doc_tag?post=4282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}