<h2 id="1020f718-7d91-457b-b481-0de3c66fec42" data-toc-id="1020f718-7d91-457b-b481-0de3c66fec42" style="text-align: left; font-size: 24px; line-height: 1.2;">Give leadership a decision they can assess</h2><p>A useful AI training proposal connects a real work problem to a small, measurable test. Enthusiasm can open the conversation. Evidence helps people decide what to fund, what to change and what to stop.</p><h2 id="76a61c10-780d-45f5-bb11-96f2b0bc7587" data-toc-id="76a61c10-780d-45f5-bb11-96f2b0bc7587" style="text-align: left; font-size: 24px; line-height: 1.2;">Start with your own baseline</h2><p>Choose one team and one recurring task. Record how long it takes, the quality required, common errors and time spent correcting them. Ask which tools people already use and what guidance they have. Do not substitute a national survey for your own team's situation.</p><p>Research can provide context. The Conference Board's 2026 skilling release describes surveyed workers' AI use and employer training. Those are separate measures; they do not establish that every regular AI user is untrained. Likewise, broad AI investment studies measure more than training alone.</p><h2 id="cb29b9cd-e504-40f6-9854-4fd8b7c1a4fc" data-toc-id="cb29b9cd-e504-40f6-9854-4fd8b7c1a4fc" style="text-align: left; font-size: 24px; line-height: 1.2;">Keep the evidence in its lane</h2><p>PwC's 2025 AI Jobs Barometer examines job and wage patterns. It does not prove that a particular training course causes a pay rise. Microsoft and LinkedIn's 2024 Work Trend Index describes surveyed leaders' views at that time, not your organization's current hiring policy.</p><p>Use external research to explain why a pilot is worth considering. Use your pilot to assess whether this approach works here.</p><h2 id="c72cf158-efb1-4ccc-a080-3c7a6fd016c9" data-toc-id="c72cf158-efb1-4ccc-a080-3c7a6fd016c9" style="text-align: left; font-size: 24px; line-height: 1.2;">Build a one-page pilot case</h2><ul><li><p><strong>Problem:</strong> the task, affected team and current quality or time baseline.</p></li><li><p><strong>Plan:</strong> learning, approved tools, practice tasks, support and an accountable owner.</p></li><li><p><strong>Total cost:</strong> course and tool fees, staff learning time, setup, supervision and evaluation.</p></li><li><p><strong>Measures:</strong> usable output quality, errors, rework, verification and time per accepted result.</p></li><li><p><strong>Decision:</strong> agreed criteria for expanding, changing or stopping, with a review date.</p></li></ul><h2 id="e9c4eaa9-e4cd-4e83-94ed-5cf4ac3bf4f2" data-toc-id="e9c4eaa9-e4cd-4e83-94ed-5cf4ac3bf4f2" style="text-align: left; font-size: 24px; line-height: 1.2;">Separate capacity from cash savings</h2><p>Time released may let a team serve more people or reduce a backlog. It becomes cash savings only when spending actually falls. Report those outcomes separately and include the cost of checking AI output.</p><p>A proposed 60–90 day pilot may suit your task; it is not a guaranteed payback period. Compare similar work before and after, document changes in workload, and avoid attributing every improvement to training.</p><p>What is the one measure from your own team that would help leadership make a better decision this week?</p><p>Research context: <a target="_blank" href="https://www.conference-board.org/press/ai-skilling">The Conference Board, 2026</a>; <a target="_blank" href="https://www.pwc.com/gx/en/issues/artificial-intelligence/job-barometer/2025/report.pdf">PwC, 2025</a>; <a target="_blank" href="https://blogs.microsoft.com/blog/2024/05/08/microsoft-and-linkedin-release-the-2024-work-trend-index-on-the-state-of-ai-at-work/">Microsoft and LinkedIn, 2024</a>.</p>

Build a small AI training pilot with a clear baseline, full costs, quality checks and criteria for leadership’s next decision.

Building an Evidence-Based Business Case for AI Training

Give leadership a decision they can assess

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Building an Evidence-Based Business Case for AI Training

Building an Evidence-Based Business Case for AI Training

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