Assess and Optimize Your GenAI Readiness - So You Can Scale What Works
his fast paced, interactive workshop helps you define the maturity insight measures and operating approach that make GenAI readiness visible, comparable, and actionable across your business. You’ll leave with a practical maturity insights plan to assess your readiness efforts, quantify the capability gaps that limit impact, and prioritize improvements that strengthen your ability to win with GenAI—so your strategy is grounded in real capability,
not assumptions.
The Challenge
It can be challenging to scale GenAI strategically when readiness is assumed instead of measured and optimized:
- Teams lack a shared definition of readiness: “We’re ready” can mean anything—from scattered experiments to repeatable delivery and operational excellence.
- Capabilities mature unevenly: Progress in one dimension (e.g., models) gets constrained by gaps in data readiness, operating processes, governance, or user experience.
- Readiness investments aren’t optimized: Teams spend time and money on “readiness work” without clear measures of progress, impact, or the next best capability to build.
If you can’t assess readiness objectively, you can’t optimize the capabilities that unlock scale.
Our Solution
A structured, hands-on workshop that helps you define a targeted GenAI maturity and readiness insights plan—so you can measure readiness consistently and prioritize the capability improvements that matter most.
- Explore our GenAI Insights Best Practices catalog: Review proven readiness and maturity model patterns, executive dashboard approaches, and benchmark-driven optimization methods.
- Define your priority readiness measures: Select the maturity dimensions and indicators that best predict scalable GenAI outcomes across teams.
- Define your reporting frequency: Establish a cadence for readiness reviews that fits operating rhythms and quarterly planning cycles.
- Assign an accountable owner: Clarify who owns the readiness model, data inputs, assessment process, and executive reporting.
- Define actionable next steps: Identify what to assess first, how to benchmark and quantify deltas, and how to turn insights into an optimized readiness improvement plan.
Area of Focus
- Defining a GenAI maturity model across functions
- Measuring maturity across data, model, ops, and UX
- Aggregating insights into executive dashboards
- Using benchmarks and deltas to guide planning
- Linking maturity to roadmap, risk, and performance
Participants Will
- Leave with a defined GenAI readiness and maturity model spanning key dimensions across the organization.
- Establish a current-state readiness baseline with clear scoring, evidence expectations, and gap visibility.
- Define an executive dashboard structure that makes readiness strengths, weaknesses, and trends easy to interpret.
- Identify capability deltas and benchmark targets to optimize readiness investments and sequencing decisions.
- Produce a next-step readiness optimization plan tied to roadmap development, risk management, and performance improvements.
Who Should Attend:
AI & Analytics LeadersData LeadersExecutive SponsorsTransformation LeadersProgram LeadersProduct LeadersSecurity & Risk LeadersCustomer Experience Leaders
Solution Essentials
Format
Virtual or in-person
Duration
2 hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional readiness/maturity model canvas, scoring rubric template, executive dashboard outline, and readiness optimization-by-deltas worksheet