What to Do When Your Company's AI Tool Is Bad at Your Job

Podcast · ~25 min · Podcast · Substack

• Corporate AI defaults (Copilot, etc.) frequently underperform for specific roles; complaints get dismissed as preference rather than performance data. The fix is reframing with measurable evidence: “Copilot is bad” is not actionable, but “the four-hour-a-week tax you’re paying because IT picked the wrong default” creates urgency through quantification.
• One-job, one-week measurement: pick a recurring task, run it through both tools, log four data columns — the data is the argument, not the subjective frustration.
• Three-altitude escalation: manager, CTO, and executive levels each require different reasoning — wrong altitude means identical requests fail regardless of evidence quality.
• Practical takeaway: the barrier to AI tool change is political, not technical — evidence-based quantification plus altitude-matched messaging are the two mechanisms that actually move procurement decisions.