{"id":10108,"date":"2026-11-10T05:43:40","date_gmt":"2026-11-09T20:43:40","guid":{"rendered":"https:\/\/7200core.com\/?page_id=10108"},"modified":"2026-11-10T14:50:51","modified_gmt":"2026-11-10T05:50:51","slug":"en-staging-validation","status":"publish","type":"page","link":"https:\/\/7200core.com\/?page_id=10108","title":{"rendered":"Validation &#038; Benchmarking"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Validation &amp; Benchmarking<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">What Changes, and by How Much?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">7200core emphasizes objective data when evaluating the reliability and practical value of AI-assisted audits.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The objective is not simply to run an audit.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How does audit quality change? How does the human review workload change?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We intend to assess both under documented comparison conditions and with clear supporting evidence.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">01 | Evaluating Audit Quality<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We assess how accurately AI identifies issues.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key evaluation measures include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>True Positives (TP)<\/strong>: Issues correctly identified where a problem actually exists<\/li>\n\n\n\n<li><strong>False Positives (FP)<\/strong>: Issues incorrectly reported where no problem exists<\/li>\n\n\n\n<li><strong>False Negatives (FN)<\/strong>: Existing issues the audit failed to identify<\/li>\n\n\n\n<li><strong>Detection Metrics<\/strong>: Comparisons with clearly stated evaluation conditions and calculation methods<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Reporting more issues does not, by itself, make an audit better.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We assess accuracy while accounting for both false positives and missed issues.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">02 | Evaluating Human Effort and Cost<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We also evaluate practical changes for users, not just audit quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Human Work Time<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Measure time spent by people on operations, evidence review, and organizing results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>System Processing Time<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Measure AI and system execution time separately from human work time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Total Cost<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Compare costs under aligned usage conditions and with a defined cost scope.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Re-Verification Effort<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Assess the effort required to retrieve and re-examine previous audit results and evidence.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">03 | Defining Fair Comparison Conditions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We plan to compare workflows using 7200core with one-off reviews conducted in AI chat, among other approaches, under aligned conditions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Comparisons will document:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Evaluation subjects and sample size<\/li>\n\n\n\n<li>AI models used and input conditions<\/li>\n\n\n\n<li>Criteria for determining ground truth<\/li>\n\n\n\n<li>Dates on which tests were conducted<\/li>\n\n\n\n<li>Human work time and system processing time<\/li>\n\n\n\n<li>Scope of cost measurement<\/li>\n\n\n\n<li>Verified findings and unresolved or unverified matters<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond the outcome, <strong>the conditions under which results were obtained<\/strong> also matter.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">04 | Publishing Validation Results<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">7200core is currently in development and validation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once shareable measurements are available, we intend to present methods, comparison conditions, confirmed findings, and limitations together.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At present, we do not have finalized public figures supporting claims of superior audit accuracy, reduced work time, or cost savings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We aim to build a body of verifiable evidence rather than lead with unsupported numbers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Report What Has Been Verified, Within Its Verified Scope.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">7200core does not treat AI-assisted audit results as unconditionally correct.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It does not guarantee detection of every issue or improved efficiency in every workflow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What has been established, what has not, and what remains unverified.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We will assess reliability and usefulness while clearly distinguishing those categories.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Current status: In development and validation<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>This does not indicate the availability of public trials or a commercial release.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Validation &amp; Benchmarking What Changes, and by How Much? 7200core emphasizes objective data when evaluatin 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