{"id":4997,"date":"2026-05-10T16:29:38","date_gmt":"2026-05-10T16:29:38","guid":{"rendered":"https:\/\/rimanagency.com\/2026\/05\/10\/marketing-ai-2e-ch24-ai-readiness\/"},"modified":"2026-05-10T17:56:00","modified_gmt":"2026-05-10T17:56:00","slug":"marketing-ai-2e-ch24-ai-readiness","status":"publish","type":"post","link":"https:\/\/rimanagency.com\/fr\/2026\/05\/10\/marketing-ai-2e-ch24-ai-readiness\/","title":{"rendered":"AI Readiness \u2014 Assessment, Vendor Selection, and Team Preparation"},"content":{"rendered":"<h2>TL;DR<\/h2>\n<p><strong>Most AI initiatives fail at one of three points: misreading organizational readiness, picking the wrong vendor, or under-preparing the team.<\/strong> Score your organization across six readiness dimensions before investing in tools or strategy. Use a vendor scorecard for any AI purchase over $10K\/year. Hire AI champions embedded in each function rather than building a centralized AI team. Buying tools before finishing readiness leads to shelf-ware within 12 months.<\/p>\n<h2>Ce que couvre ce guide<\/h2>\n<p>The full readiness assessment + vendor selection + team preparation framework you should run before signing any major AI contract. You&#8217;ll get the 6-dimension scoring rubric, the 7-criterion vendor scorecard, the four parts of team preparation, and a 90-day plan for moving from &#8220;interested in AI&#8221; to &#8220;competent at AI.&#8221; Built for marketing leaders who want to avoid the shelf-ware trap.<\/p>\n<h2>Points cl\u00e9s \u00e0 retenir<\/h2>\n<ul>\n<li>AI readiness has six dimensions: data quality, data access, infrastructure, skills, governance, leadership.<\/li>\n<li>Vendor selection is about outcomes, data handling, and integration \u2014 not features or demos.<\/li>\n<li>Teams thrive with embedded champions, not centralized AI departments.<\/li>\n<li>Invest in senior judgment augmented by AI; don&#8217;t automate away the craft you need later.<\/li>\n<li>Buying tools before finishing readiness leads to shelf-ware within 12 months.<\/li>\n<\/ul>\n<h2>The 6-Dimension Readiness Assessment<\/h2>\n<p>Score each dimension 1 (not ready) to 5 (fully ready):<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>Level 1 (Not Ready)<\/th>\n<th>Level 5 (Fully Ready)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Data Quality<\/td>\n<td>Siloed, messy, inconsistent definitions<\/td>\n<td>Unified, clean, documented, accessible<\/td>\n<\/tr>\n<tr>\n<td>Data Access<\/td>\n<td>Engineering ticket required for everything<\/td>\n<td>Marketers self-serve via governed tools<\/td>\n<\/tr>\n<tr>\n<td>Technical Infrastructure<\/td>\n<td>Patchwork of disconnected tools, manual exports<\/td>\n<td>Integrated stack with APIs and a clear data layer<\/td>\n<\/tr>\n<tr>\n<td>Skills &amp; Literacy<\/td>\n<td>No one on the team has used AI seriously<\/td>\n<td>Most of the team uses AI weekly; designated champions<\/td>\n<\/tr>\n<tr>\n<td>Governance &amp; Ethics<\/td>\n<td>No AI policy, no review process<\/td>\n<td>Documented policy, escalation paths, audit cadence<\/td>\n<\/tr>\n<tr>\n<td>Leadership &amp; Budget<\/td>\n<td>Leadership skeptical, no dedicated budget<\/td>\n<td>Leadership sponsor, protected pilot budget, clear OKRs<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Score totals \u2014 6-14: foundational work needed before pilots. 15-22: ready for pilots in limited scope. 23-30: ready to scale with governance.<\/p>\n<h2>Vendor Selection Framework<\/h2>\n<ol>\n<li><strong>Job clarity<\/strong> \u2014 can you name the specific job in one sentence? If not, pass.<\/li>\n<li><strong>Measurable outcome<\/strong> \u2014 does the vendor commit to a metric, not just features?<\/li>\n<li><strong>Data handling<\/strong> \u2014 where does your data live? Is it used for training? Get it in writing.<\/li>\n<li><strong>Integration reality<\/strong> \u2014 does it plug into your existing stack or create a new silo?<\/li>\n<li><strong>Vendor staying power<\/strong> \u2014 funded, growing, likely to exist in 24 months?<\/li>\n<li><strong>Exit cost<\/strong> \u2014 if you leave in 18 months, what do you lose?<\/li>\n<li><strong>Proof, not demos<\/strong> \u2014 reference customer in your industry at your scale you can speak to?<\/li>\n<\/ol>\n<h2>The Vendor Evaluation Scorecard<\/h2>\n<p>Before any AI purchase over $10K\/year, score each criterion 1\u20135. Weight by what matters most.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Weight<\/th>\n<th>What 5\/5 Looks Like<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Job clarity and outcome metric<\/td>\n<td>Haut<\/td>\n<td>Vendor names a specific outcome metric they will improve<\/td>\n<\/tr>\n<tr>\n<td>Data privacy and handling<\/td>\n<td>Haut<\/td>\n<td>Contractual guarantees; no training on your data; clear residency<\/td>\n<\/tr>\n<tr>\n<td>Integration with existing stack<\/td>\n<td>Haut<\/td>\n<td>Native connectors to your top 3 tools; no new silo<\/td>\n<\/tr>\n<tr>\n<td>Reference customer at your stage<\/td>\n<td>Moyen<\/td>\n<td>Reference call scheduled with comparable company<\/td>\n<\/tr>\n<tr>\n<td>Total cost of ownership (3 years)<\/td>\n<td>Moyen<\/td>\n<td>Predictable pricing; no usage-based surprise spikes<\/td>\n<\/tr>\n<tr>\n<td>Exit portability<\/td>\n<td>Moyen<\/td>\n<td>You own and can export all outputs and data<\/td>\n<\/tr>\n<tr>\n<td>Team support and training<\/td>\n<td>Faible<\/td>\n<td>Onboarding program, documentation, human support<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Team Preparation<\/h2>\n<ul>\n<li><strong>Literacy baseline<\/strong> \u2014 every marketer should write a decent prompt, recognize hallucinations, and know when not to use AI. Set this minimum within 90 days.<\/li>\n<li><strong>Champions, not departments<\/strong> \u2014 embed an AI champion in each marketing sub-function (content, growth, analytics, brand). Champions spread practice faster than centralized AI teams.<\/li>\n<li><strong>New skill mix<\/strong> \u2014 marketers who thrive combine three skills: the old craft (writing, analytics, strategy), AI fluency (prompting, tool selection, output evaluation), and taste.<\/li>\n<li><strong>Role evolution, not replacement<\/strong> \u2014 invest in senior judgment and leverage juniors into it, rather than replacing juniors with automation.<\/li>\n<\/ul>\n<h2>The 90-Day Readiness Plan<\/h2>\n<table>\n<thead>\n<tr>\n<th>Jours<\/th>\n<th>Focus<\/th>\n<th>Outcome<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1-30<\/td>\n<td>Baseline and literacy<\/td>\n<td>Assessment completed; team tool access; baseline training<\/td>\n<\/tr>\n<tr>\n<td>31-60<\/td>\n<td>First two pilots<\/td>\n<td>Two contained pilots running with measurable targets<\/td>\n<\/tr>\n<tr>\n<td>61-90<\/td>\n<td>Evaluate and plan scale<\/td>\n<td>Pilots reviewed; keep\/kill decisions; Q2 roadmap<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Erreurs courantes \u00e0 \u00e9viter<\/h2>\n<ul>\n<li><strong>Buying tools before finishing readiness assessment.<\/strong> Low-readiness orgs end up with shelf-ware within 12 months.<\/li>\n<li><strong>Hiring a data scientist first.<\/strong> Hire an AI power user inside marketing first.<\/li>\n<li><strong>Centralizing AI in one team.<\/strong> Embedded champions spread practice faster.<\/li>\n<li><strong>Trusting demos over references.<\/strong> Demos are theater; references are evidence.<\/li>\n<\/ul>\n<h2>Mesures \u00e0 prendre cette semaine<\/h2>\n<ol>\n<li>Run the 6-dimension readiness assessment with your leadership team.<\/li>\n<li>Score honestly.<\/li>\n<li>Dimensions where you score below 3 are next quarter&#8217;s priorities \u2014 before any new tool purchase.<\/li>\n<\/ol>\n<h2>Foire aux questions<\/h2>\n<h3>How long does AI readiness take to build?<\/h3>\n<p>Foundational work: 1\u20132 quarters. Mature scale: 12\u201318 months from cold start.<\/p>\n<h3>Should I hire an AI consultant?<\/h3>\n<p>Helpful for assessment and pilot design. Avoid long-term reliance \u2014 your team needs to own AI capability internally.<\/p>\n<h3>What&#8217;s the most important readiness dimension?<\/h3>\n<p>Leadership sponsorship and data quality are tied \u2014 both block everything downstream.<\/p>\n<h3>How big should an AI champion network be?<\/h3>\n<p>One per function (content, growth, analytics, brand). Meet weekly for 30 minutes.<\/p>\n<h3>What qualifies as a good AI vendor reference?<\/h3>\n<p>Comparable company, comparable scale, willing to take a 30-minute call. If they can&#8217;t produce one, that&#8217;s the answer.<\/p>\n<h2>Sources et lectures compl\u00e9mentaires<\/h2>\n<ul>\n<li>Riman, T. (2026). <em>Introduction au marketing et \u00e0 l&#039;IA 2e \u00e9dition<\/em>.<\/li>\n<\/ul>\n<hr>\n<p><strong>\u00c0 propos de l&#039;agence Riman\u00a0:<\/strong> We run AI readiness assessments and vendor selection. <a href=\"https:\/\/rimanagency.com\/fr\/contact\/\">Book a readiness review<\/a>.<\/p>\n<p><a href=\"https:\/\/rimanagency.com\/fr\/?p=4996\">\u2190 Previous: Industry Implications<\/a> | <a href=\"https:\/\/rimanagency.com\/fr\/marketing-ai-2e-complete-series\/\">Index des s\u00e9ries<\/a> | <a href=\"https:\/\/rimanagency.com\/fr\/?p=4998\">Next: The Playbook \u2192<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>The 6-dimension readiness assessment, the 7-criterion vendor framework, and the 90-day plan to go from interested to competent.<\/p>","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1311,1320],"tags":[],"class_list":["post-4997","post","type-post","status-publish","format-standard","hentry","category-ai","category-marketing-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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