Accelerate & De-Risk Your GenAI Journey
An Introduction to GenAI Insights Best Practices
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
