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    <id>https://tmgilliam.github.io/blog</id>
    <title>Dr. Tatianna Gilliam Blog</title>
    <updated>2026-07-18T00:00:00.000Z</updated>
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    <subtitle>Dr. Tatianna Gilliam Blog</subtitle>
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    <entry>
        <title type="html"><![CDATA[Evidence Before Implementation]]></title>
        <id>https://tmgilliam.github.io/blog/evidence-before-implementation</id>
        <link href="https://tmgilliam.github.io/blog/evidence-before-implementation"/>
        <updated>2026-07-18T00:00:00.000Z</updated>
        <summary type="html"><![CDATA[Why AI programs should pass an evidence gate before model or vendor selection—and how the BBI diagnostic kit operationalizes that discipline.]]></summary>
        <content type="html"><![CDATA[<p>Most AI programs fail before the model does. They fail because nobody agreed on the decision to improve, the data required, the human owner when the system is wrong, or the evidence that would justify the next dollar.</p>
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<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="the-default-failure-mode">The default failure mode<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#the-default-failure-mode" class="hash-link" aria-label="Direct link to The default failure mode" title="Direct link to The default failure mode" translate="no">​</a></h2>
<p>The default enterprise sequence looks like this:</p>
<ol>
<li class="">Hear about a vendor or foundation model</li>
<li class="">Run a demo on sanitized data</li>
<li class="">Declare a pilot</li>
<li class="">Discover ERP keys, ownership gaps, and governance questions under deadline pressure</li>
</ol>
<p>By step four, sunk cost dominates rational review.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="flip-the-sequence">Flip the sequence<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#flip-the-sequence" class="hash-link" aria-label="Direct link to Flip the sequence" title="Direct link to Flip the sequence" translate="no">​</a></h2>
<p><strong>Evidence before implementation</strong> means the first deliverable is not a model—it is a reviewed answer to:</p>
<ul>
<li class="">What business outcome changes if this works?</li>
<li class="">What data fields and transaction history are required—and are they trustworthy?</li>
<li class="">Who approves action when the recommendation is wrong?</li>
<li class="">What happens on failure (customer impact, financial exposure, compliance trigger)?</li>
<li class="">What evidence would convince a skeptic?</li>
</ul>
<p>If those answers are weak, the correct next step is discovery—not procurement.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="a-runnable-public-tool">A runnable public tool<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#a-runnable-public-tool" class="hash-link" aria-label="Direct link to A runnable public tool" title="Direct link to A runnable public tool" translate="no">​</a></h2>
<p>I shipped the <a href="https://github.com/Brilliant-Brainstorm-Intelligence-LLC/bbi-ai-readiness-diagnostic-kit" target="_blank" rel="noopener noreferrer" class="">BBI AI Readiness Diagnostic Kit</a> (<a href="https://github.com/Brilliant-Brainstorm-Intelligence-LLC/bbi-ai-readiness-diagnostic-kit/releases/tag/v0.1.0" target="_blank" rel="noopener noreferrer" class="">v0.1.0</a>) to make that gate tangible:</p>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#F8F8F2;--prism-background-color:#282A36"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#F8F8F2;background-color:#282A36"><code class="codeBlockLines_e6Vv"><div class="token-line" style="color:#F8F8F2"><span class="token plain">python -m bbi_ai_readiness.cli examples/sample-assessment.json</span><br></div></code></pre></div></div>
<p>It scores six dimensions—business value, data readiness, human oversight, risk/governance, delivery readiness, and evidence quality—and applies critical-floor rules so a high average cannot hide a fatal gap.</p>
<p>Example output:</p>
<div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#F8F8F2;--prism-background-color:#282A36"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar" style="color:#F8F8F2;background-color:#282A36"><code class="codeBlockLines_e6Vv"><div class="token-line" style="color:#F8F8F2"><span class="token plain">Overall score: 69.2 / 100</span><br></div><div class="token-line" style="color:#F8F8F2"><span class="token plain">Readiness band: CONDITIONAL</span><br></div><div class="token-line" style="color:#F8F8F2"><span class="token plain">Recommendation: Proceed only with a bounded discovery or prototype phase.</span><br></div></code></pre></div></div>
<p>Scores are <strong>decision aids</strong>, not certifications or compliance determinations.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="what-changed-in-my-own-builds">What changed in my own builds<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#what-changed-in-my-own-builds" class="hash-link" aria-label="Direct link to What changed in my own builds" title="Direct link to What changed in my own builds" translate="no">​</a></h2>
<p>Applying the same gate to my portfolio forced uncomfortable clarity:</p>
<ul>
<li class="">Public repos need a hero use case, tests, and explicit limitations</li>
<li class="">Sanitized ERP patterns belong in docs; private extracts do not</li>
<li class="">"Planned" must be labeled planned—recruiters deserve honesty</li>
</ul>
<p>The <a href="https://github.com/Tmgilliam/tmgilliam.github.io/blob/main/PUBLIC_PROOF_GATE.md" target="_blank" rel="noopener noreferrer" class="">Public Proof Gate</a> checklist codifies that boundary for every release.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="practical-next-step">Practical next step<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#practical-next-step" class="hash-link" aria-label="Direct link to Practical next step" title="Direct link to Practical next step" translate="no">​</a></h2>
<p>Pick one AI use case on your roadmap. Run an assessment JSON through the diagnostic CLI. Read the missing-evidence warnings before you read vendor pricing.</p>
<p>If the band is <code>DISCOVERY</code> or <code>NOT READY</code>, that is a successful result—you bought clarity cheaply.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="links">Links<a href="https://tmgilliam.github.io/blog/evidence-before-implementation#links" class="hash-link" aria-label="Direct link to Links" title="Direct link to Links" translate="no">​</a></h2>
<ul>
<li class=""><a class="" href="https://tmgilliam.github.io/docs/enterprise-ai/ai-readiness-diagnostic">AI Readiness Diagnostic docs</a></li>
<li class=""><a href="https://github.com/Brilliant-Brainstorm-Intelligence-LLC" target="_blank" rel="noopener noreferrer" class="">Brilliant Brainstorm Intelligence on GitHub</a></li>
<li class=""><a href="https://bbiedge.com/" target="_blank" rel="noopener noreferrer" class="">BBI Edge</a></li>
</ul>]]></content>
        <author>
            <name>Dr. Tatianna Gilliam</name>
            <uri>https://bbiedge.com</uri>
        </author>
        <category label="AI Governance" term="AI Governance"/>
        <category label="Evidence First" term="Evidence First"/>
        <category label="AI Readiness" term="AI Readiness"/>
        <category label="Enterprise AI" term="Enterprise AI"/>
    </entry>
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