{"id":224726,"date":"2026-05-19T08:52:48","date_gmt":"2026-05-19T08:52:48","guid":{"rendered":"https:\/\/www.9senses.ai\/?page_id=224726"},"modified":"2026-08-27T12:24:22","modified_gmt":"2026-08-27T12:24:22","slug":"generative-ai-audit-framework","status":"publish","type":"page","link":"https:\/\/www.9senses.ai\/fr\/generative-ai-audit-framework\/","title":{"rendered":"Generative AI Audit Framework"},"content":{"rendered":"<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section\">\n<div class=\"et_pb_row_0 et_pb_row et_flex_row ns-hdr\">\n<div class=\"et_pb_column_0 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module ns-eyebrow\"><div class=\"et_pb_text_inner\"><p>Ensuring quality and business value in AI<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_1 et_pb_row et_flex_row ns-hdr\">\n<div class=\"et_pb_column_1 et_pb_column et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_post_title_0 et_pb_post_title et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_title_container\"><h1 class=\"entry-title\">Generative AI Audit Framework<\/h1><\/div><\/div>\n\n<div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>The 9senses GenAI Audit Framework is a structured methodology to assess how well a generative AI system performs against real business use cases - and how safely, responsibly, and reliably it behaves from a user, governance, and risk perspective. The framework combines use-case adherence, business outcomes, and standardized quality dimensions to produce an actionable improvement roadmap.<\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>The framework supports two audit levels:<strong> Level 1<\/strong> (behavioral \/ black-box evaluation based on observable behavior) and <strong>Level 2<\/strong> (open-book diagnosis covering architecture, retrieval\/RAG pipelines, agentic orchestration, governance, compliance, ethics, and value modeling). It applies across the full spectrum of GenAI deployments - customer-facing copilots, internal assistants, document processing systems, and multi-step autonomous agents.<\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_row_2 et_pb_row et_pb_row_nested et_flex_row ns-3up\">\n<div class=\"et_pb_column_2 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_12_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_12_24_tabletWide ns-emboss ns-linked\">\n<div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h3>Level 1 Audit<\/h3>\n<\/div><\/div>\n\n<div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>An independent, external review of your GenAI application's observable performance. No internal access to your technical environment required. Delivered within 5 business days.<\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/genai-audit\/#audit\">\u2192 Book your Level 1 Audit here<\/a><\/p>\n<\/div><\/div>\n<\/div>\n\n<div class=\"et_pb_column_3 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_12_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_12_24_tabletWide ns-emboss ns-linked\">\n<div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h3>Level 2 Audit<\/h3>\n<\/div><\/div>\n\n<div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>A tailored deep-dive analysis, for example of technical architecture, retrieval systems, governance, compliance, and business value \u2013 recommended when critical issues are identified in Level 1.<\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/genai-audit\/#contact\">\u2192 Contact us to learn more\u00a0<\/a><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_3 et_pb_row et_pb_row_nested et_flex_row ns-prose\">\n<div class=\"et_pb_column_4 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Why a GenAI Audit?<\/h2>\n<\/div><\/div>\n\n<div class=\"et_pb_text_10 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>Generative AI applications are increasingly embedded in high-stakes workflows across customer service, sales, legal, HR, and operations. When they fail, the consequences can be reputational, regulatory, or financial. A structured <strong>GenAI Audit<\/strong> identifies weaknesses before they cause harm and validates that the application delivers its intended results and measurable business value.<\/p>\n<p><strong>The framework assesses this across five areas:<\/strong><\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_text_11 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><ul>\n<li><strong>Intended use:<\/strong> Does the application reliably do what it was designed to do?<\/li>\n<li><strong>Business outcomes:<\/strong> Does it improve containment, conversion, resolution time, cost efficiency, or satisfaction?<\/li>\n<li><strong>Risk exposure:<\/strong> Does it hallucinate, leak sensitive data, or fail under adversarial prompts?<\/li>\n<li><strong>Governance readiness:<\/strong> Are transparency signals, human-in-the-loop controls, escalation paths, and monitoring adequate?<\/li>\n<li><strong>Regulatory compliance:<\/strong> Does it meet applicable obligations under the EU AI Act, GDPR, and sector-specific rules?<\/li>\n<\/ul>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_column_5 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_code_0 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"ns-vmap-editor-note\" style=\"position:relative;width:100%;overflow:hidden;aspect-ratio:5\/4;max-height:230px;\"><div style=\"position:absolute;inset:0;display:flex;align-items:center;justify-content:center;pointer-events:none\"><div style=\"padding:10px 12px;border:1px dashed rgba(170,180,205,.55);border-radius:6px;color:#8a93a6;font:600 12px\/1.4 sans-serif;background:rgba(8,13,25,.46)\"><div style=\"margin-bottom:6px\">Vector map \u2014 Main<\/div><code style=\"display:inline-block;padding:3px 6px;border-radius:4px;background:rgba(127,140,170,.12);color:inherit\"><div class=\"ns-vmap-editor-note\" style=\"position:relative;width:100%;overflow:hidden;aspect-ratio:5\/4;max-height:230px;\"><div style=\"position:absolute;inset:0;display:flex;align-items:center;justify-content:center;pointer-events:none\"><div style=\"padding:10px 12px;border:1px dashed rgba(170,180,205,.55);border-radius:6px;color:#8a93a6;font:600 12px\/1.4 sans-serif;background:rgba(8,13,25,.46)\"><div style=\"margin-bottom:6px\">Vector map \u2014 Main<\/div><code style=\"display:inline-block;padding:3px 6px;border-radius:4px;background:rgba(127,140,170,.12);color:inherit\">[ninesenses_vectormap #1]<\/code><div style=\"margin-top:6px;font-weight:400\">Max height: 230px. Preview on the live page.<\/div><\/div><\/div><\/div><\/code><div style=\"margin-top:6px;font-weight:400\">Max height: 230px. Preview on the live page.<\/div><\/div><\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_image_0 et_pb_image et_pb_module et_block_module\"><a href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/02\/2026_02_17_Audit-Example-ENG.pdf\" target=\"_blank\"><span class=\"et_pb_image_wrap\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/02\/2026_02_17_Audit-Example-ENG_Page_1-724x1024.jpg\" alt=\"First page of a sample 9senses Level 1 audit report\" width=\"724\" height=\"1024\" srcset=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/02\/2026_02_17_Audit-Example-ENG_Page_1-724x1024.jpg 724w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 724px, 100vw\" class=\"wp-image-224330\" \/><\/span><\/a><\/div>\n\n<div class=\"et_pb_text_12 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/wp-content\/uploads\/2026\/02\/2026_02_17_Audit-Example-ENG.pdf\" target=\"_blank\" rel=\"noopener\">View a sample Level 1 audit and methodology<\/a><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_section_1 et_pb_section et_section_regular et_block_section\">\n<div class=\"et_pb_row_4 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_6 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_13 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Level 1: Behavioral (black-box) Audit<\/h2>\n<\/div><\/div>\n\n<div class=\"et_pb_text_14 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><strong>Level 1<\/strong> is a standardized external evaluation based on observable behavior at the time of testing. It benchmarks performance, identifies user-facing weaknesses, and delivers a prioritized set of recommendations \u2013 without requiring access to the underlying system.<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_5 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_7 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide ns-emboss ns-table ns-block\">\n<div class=\"et_pb_text_15 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h3>Core Dimensions &amp; Weights<\/h3>\n<div class=\"table-wrap\">\n<table class=\"data\">\n<colgroup>\n<col style=\"width:22%\" \/>\n<col style=\"width:63%\" \/>\n<col style=\"width:15%\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>What is evaluated<\/th>\n<th style=''>Weight<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Response Quality<\/strong><\/td>\n<td>Relevance to the user's goal, factual correctness, completeness, formatting, hallucination robustness, citation behavior<\/td>\n<td style=''>50%<\/td>\n<\/tr>\n<tr>\n<td><strong>Speed<\/strong><\/td>\n<td>Latency for simple and complex requests, streaming behavior, perceived speed under load<\/td>\n<td style=''>20%<\/td>\n<\/tr>\n<tr>\n<td><strong>User Interface<\/strong><\/td>\n<td>Clarity, usability, layout, readability, affordance design, accessibility signals<\/td>\n<td style=''>15%<\/td>\n<\/tr>\n<tr>\n<td><strong>Dialog Quality<\/strong><\/td>\n<td>Conversation flow, expectation management, tone calibration, multi-turn coherence, escalation behavior<\/td>\n<td style=''>15%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_6 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_8 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_16 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>Additional dimensions are reviewed as <strong>outside-in indicators<\/strong> (not part of the Level 1 composite score): <strong>Business Value<\/strong>, <strong>Compliance<\/strong>, and <strong>Ethics<\/strong>. These inform the qualitative narrative and flag areas requiring deeper Level 2 investigation.<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_7 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_9 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide ns-emboss ns-table ns-block\">\n<div class=\"et_pb_text_17 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h3>Scoring Methodology<\/h3>\n<p>Each dimension is scored on a standardized 1\u20135 scale and aggregated using the weights above into an overall performance score.<\/p>\n<div class=\"table-wrap\">\n<table class=\"data\">\n<colgroup>\n<col style=\"width:18%\" \/>\n<col style=\"width:82%\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Score<\/th>\n<th>Meaning<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Critical deficiency with high user impact or material risk<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Significant weaknesses requiring remediation<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Acceptable performance with identifiable limitations<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Strong performance with minor gaps<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Best-practice level: benchmark-worthy performance<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_section_2 et_pb_section et_section_regular et_block_section\">\n<div class=\"et_pb_row_8 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_10 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_18 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Level 2: Open-Book Audit (Root-Cause Diagnosis)<\/h2>\n<\/div><\/div>\n\n<div class=\"et_pb_text_19 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><strong>Level 2<\/strong> is an open-book audit that explains why the GenAI system behaves as it does. It reviews the technical and organizational system behind the deployment and produces a targeted optimization plan grounded in root causes - not just symptoms.<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_9 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_11 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide ns-emboss ns-table ns-block\">\n<div class=\"et_pb_text_20 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module ns-table\"><div class=\"et_pb_text_inner\"><h3>Open-Book Scope &amp; Outcomes<\/h3>\n<div class=\"table-wrap\">\n<table class=\"data\">\n<colgroup>\n<col style=\"width:20%\" \/>\n<col style=\"width:45%\" \/>\n<col style=\"width:35%\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Area<\/th>\n<th>What we review (examples)<\/th>\n<th>Typical outcomes<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Architecture &amp; Orchestration<\/strong><\/td>\n<td>System boundaries, tool\/API usage, routing logic, fallback strategy, agentic loops, trust zones, dependency risks<\/td>\n<td>Architecture risk map, refactoring recommendations, safer routing &amp; fallback design<\/td>\n<\/tr>\n<tr>\n<td><strong>Retrieval \/ RAG Quality<\/strong><\/td>\n<td>Chunking strategy, retrieval relevance, grounding behavior, citation logic, context window management, stale content risk<\/td>\n<td>Retrieval tuning plan, grounding improvements, measurable answer-quality lift<\/td>\n<\/tr>\n<tr>\n<td><strong>Prompting &amp; Guardrails<\/strong><\/td>\n<td>System prompts, policy hierarchy, refusal strategy, tool-use permissions, instruction injection robustness, output filters<\/td>\n<td>Hardened prompts, safer policies, reduced jailbreak &amp; prompt injection risk<\/td>\n<\/tr>\n<tr>\n<td><strong>Security &amp; Data Protection<\/strong><\/td>\n<td>Access controls, secrets handling, data minimization, leakage scenarios, PII exposure, logging sensitivity<\/td>\n<td>Risk remediation plan, control improvements, safer data flows<\/td>\n<\/tr>\n<tr>\n<td><strong>Governance &amp; Operations<\/strong><\/td>\n<td>Ownership model, human-in-the-loop design, escalation paths, monitoring, incident response, evaluation cadence, change management<\/td>\n<td>Operating model, monitoring design, continuous improvement loop<\/td>\n<\/tr>\n<tr>\n<td><strong>Compliance &amp; Ethics<\/strong><\/td>\n<td>Transparency &amp; disclosure obligations, data processing mapping, fairness considerations, EU AI Act risk classification, regulated use cases<\/td>\n<td>Compliance readiness checklist, documentation &amp; policy improvements<\/td>\n<\/tr>\n<tr>\n<td><strong>Business Value Modeling<\/strong><\/td>\n<td>KPI definitions, baseline vs. target, measurement instrumentation, token\/run-cost controls, ROI sensitivity analysis<\/td>\n<td>Value case, KPI dashboard spec, cost controls, prioritized roadmap<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_section_3 et_pb_section et_section_regular et_block_section\">\n<div class=\"et_pb_row_10 et_pb_row et_block_row\">\n<div class=\"et_pb_column_12 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\">\n<div class=\"et_pb_text_21 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Framework Principles<\/h2>\n<\/div><\/div>\n\n<div class=\"et_pb_text_22 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><ul>\n<li><strong>Anchor:<\/strong> Intended use and business outcomes serve as the primary anchor for defining what \"good\" means in each context.<\/li>\n<li><strong>Scope:<\/strong> Applies across Generative AI applications, including customer-facing assistants, internal copilots, knowledge and retrieval systems, document intelligence systems, multi-agent pipelines, and hybrid human+AI workflows.<\/li>\n<\/ul>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_ns_ir":"","_ns_ir_pending":"","_ns_structural_eyebrow":"","_ns_ir_live":"","_ns_structural_enabled":"","_ns_structural_body_v1":"","n9tr_seo_title_de_DE":"Generative AI Audit Framework - 9senses.ai","n9tr_seo_description_de_DE":"Strukturierte Methodik zur Pr\u00fcfung generativer KI-Systeme gegen reale Use Cases: Level 1 Black-Box-Bewertung in 5 Arbeitstagen, Level 2 Open-Book-Diagnose von Architektur bis Governance.","n9tr_seo_title_fr_FR":"","n9tr_seo_description_fr_FR":"","footnotes":""},"class_list":["post-224726","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/pages\/224726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/comments?post=224726"}],"version-history":[{"count":140,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/pages\/224726\/revisions"}],"predecessor-version":[{"id":230309,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/pages\/224726\/revisions\/230309"}],"wp:attachment":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/media?parent=224726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}