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<!doctype html>
<html lang="en-CA">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Free Sample: AI Workflow Audit Starter</title>
<meta name="description" content="A practical AI workflow audit workbook for small teams, advisors, MSPs, and operators choosing one low-risk automation proof before buying tools.">
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<meta property="og:title" content="Free Sample: AI Workflow Audit Starter">
<meta property="og:description" content="A practical AI workflow audit workbook for small teams, advisors, MSPs, and operators choosing one low-risk automation proof before buying tools.">
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<body><main><p class="small">Free public sample generated from the local launch packet. No private, employer, customer, or buyer data used.</p><h1>Free Sample: 20-Minute AI Workflow Audit Starter</h1>
<p>Use this one-page sample to decide whether an AI/automation idea is worth a deeper audit. It is intentionally conservative: start with repeated work, score the pain, then screen for risk before buying tools.</p>
<h2>Step 1: Pick one repeated workflow</h2>
<p>Write one workflow that happens at least weekly and currently costs staff time, creates delays, or causes rework.</p>
<ul>
<li>Workflow:</li>
<li>Team/role affected:</li>
<li>Frequency:</li>
<li>Current tool stack:</li>
<li>Current pain in one sentence:</li>
</ul>
<h2>Step 2: Score the first-pass fit</h2>
<p>| Question | Score 0-2 |</p>
<p>| --- | --- |</p>
<p>| Is the task repeated often enough to matter? | |</p>
<p>| Can success be measured with time, cost, error, or response-time data? | |</p>
<p>| Is the data low-risk or easy to isolate for a proof? | |</p>
<p>| Would a human review/approval step be acceptable? | |</p>
<p>| Can the first proof be tested without changing production systems? | |</p>
<p>A score of 7-10 is worth a full audit. A score of 4-6 needs narrower scope. A score below 4 is probably not the first AI project.</p>
<h2>Step 3: Safety boundary</h2>
<p>Before using AI output in a live business process, write the human approval step, logging requirement, rollback path, and data boundary.</p>
<ul>
<li>Human approval step:</li>
<li>What will be logged:</li>
<li>Rollback/manual fallback:</li>
<li>Data that must not be used:</li>
</ul>
<h2>What the paid kit adds</h2>
<p>The paid workbook adds the full intake, workflow inventory, candidate scoring rubric, risk screen, report template, funding-fit questions with official-source boundaries, a synthetic filled sample, print-ready PDF, HTML preview, and Markdown templates.</p>
<p>Checkout: https://novaluxxai.gumroad.com/</p>
<p>Public overview: https://roblindsay24.github.io/ai-workflow-audit-kit-landing/</p>
<h2>Honest limits</h2>
<p>This sample and the paid kit are scoping aids, not legal, privacy, accounting, grant, implementation, or funding-eligibility advice. Program details change and must be verified against official sources.</p></main></body></html>