Updated
Updated · InfoWorld · Sep 28
Adnan Masood Sets 90-Day Generative AI ROI Framework With 4-Layer Metrics
Updated
Updated · InfoWorld · Sep 28

Adnan Masood Sets 90-Day Generative AI ROI Framework With 4-Layer Metrics

1 articles · Updated · InfoWorld · Sep 28

Summary

  • A 90-day plan is the centerpiece of Masood’s production ROI method, telling teams to baseline one workflow, instrument it, run a small cohort, then decide by weeks 10–13 whether to scale, pause or redesign.
  • ROI is defined at the workflow level—not the model level—using a full-cost equation that subtracts build, run, governance and change-management costs from outcome value over a defined period.
  • Four metric layers connect usage to business impact: activity, quality, workflow and business metrics, with baselines in systems such as ticketing, CRM or CI pipelines rather than self-reported time savings.
  • Common failure points include pilots with no baseline, value claims based on usage alone, underestimated run costs, quality drift and weak workflow integration that hurts adoption.
  • Seven minimum checks underpin credible claims in production, including a workflow owner, measurable outcomes, cost guardrails, evaluation suites, cohort comparisons, role-specific training and an operating plan for incidents and governance.

Insights

Could strictly measuring AI ROI in 90 days actually kill the very innovations that would eventually transform your business?
Are your successful AI pilots secretly bleeding money through hidden lifecycle and inference costs?