Accelerate & De-Risk Your GenAI Jounrey
Define Your Core GenAI Business Measures
Workshop
Maximize your Bottom-Line GenAI Impact
This fast paced, interactive workshop helps you define the core business measures that make GenAI progress visible, comparable, and actionable across your business. You’ll leave with a practical set of core business measures to measure and optimize your GenAI impact—don’t hope your GenAI efforts are impactful, know they are.
The Challenge
It can be challenging to measure GenAI’s business impact:
- Teams measure delivery activity, not outcomes: Progress gets reported as pilots shipped and models deployed—while value, adoption, and business lift stay unclear.
- KPIs vary by use case: Different teams define success differently, making results hard to compare, prioritize, or scale.
- Reporting is manual and late: Metrics arrive after decisions are made, and measurement becomes a burden instead of a management advantage.
If you can’t measure impact consistently, you can’t improve—or scale—GenAI confidently.
Our Solution
A structured, hands-on workshop that helps you define a targeted insights plan—so you can measure GenAI impact consistently and act on it quickly.
- Explore our GenAI Insights Best Practices catalog: Review proven measurement patterns, dashboard approaches, and adoption/value signals.
- Define your priority core business measures: Select a small set of high-leverage measures that reflect adoption, value, and performance across use cases.
- Define your reporting frequency: Establish an operating cadence that matches the pace of change—weekly, monthly, and quarterly as appropriate.
- Assign an accountable owner: Clarify who owns metric definitions, data quality, reporting, and follow-through.
- Define actionable next steps: Convert measures into an execution plan—what to instrument, automate, review, and improve first.
Area of Focus
- Defining KPIs specific to GenAI adoption and impact
- Standardizing measurement approaches across use cases
- Embedding KPIs in operating and planning cadences
- Automating KPI generation with dashboards and alerts
- Reviewing KPIs to adapt to AI maturity and scale
Participants Will
- Leave with a clear set of core GenAI KPIs that reflect adoption, value, and operational performance.
- Produce a standard measurement glossary (definitions, calculation logic, and data requirements) to ensure consistency.
- Identify the operating cadence touchpoints where KPIs will be reviewed and used for decisions.
- Define an automation plan for dashboards and alerts that reduces reporting effort and improves visibility.
- Establish a KPI evolution plan so metrics adapt as capabilities mature and the portfolio scales.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 Hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional KPI selection worksheet, reporting cadence planner, ownership/RACI mini-template, and next-steps action plan worksheet