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Measuring GenAI Maturity and Readiness Gaps

Description

This capability focuses on assessing the current state of GenAI maturity across teams, systems, and processes to identify key readiness gaps. It includes evaluating organizational alignment, data infrastructure, talent capabilities, and execution readiness to guide action planning and investment.

Why it's Important

Understanding GenAI maturity is essential for making informed decisions about where to invest time, resources, and leadership attention. Without a clear view of maturity and gaps, organizations risk overcommitting to initiatives that lack foundational readiness or underinvesting in high-potential areas. Effective measurement helps prioritize capability-building efforts, align stakeholders, and accelerate GenAI deployment. When done well, it becomes a strategic tool for navigating complexity and scaling GenAI impact across the enterprise.

Why it's Challenging @ Scale

  • Lack of Common Definitions: Teams often lack a shared language or framework to define what GenAI maturity means.
  • Siloed Capability Building: Maturity efforts are often fragmented across departments, making it hard to assess or compare progress.
  • Shallow Self-Assessments: Many maturity reviews rely on anecdotal input or gut feel rather than evidence-based criteria.
  • Blind Spots in Readiness: Critical enablers like data infrastructure, talent, or risk management are overlooked in assessments.
  • Failure to Link to Action: Even when maturity is assessed, organizations struggle to convert insights into prioritized plans.

Complexity

High: Measuring GenAI maturity requires cross-functional coordination, standardized evaluation methods, and the ability to translate findings into action at scale.

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Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

The most important part of any journey is starting… To move from “Exploring” to “Experimenting”, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the Integrated GenAI Insights Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Understanding integrated insights in GenAI strategies.
  • Identifying insight domains: strategy, product, customer.
  • Mapping KPIs and data sources across functions.
  • Framing use cases and analytical workflows.
  • Planning insight governance and operationalization.
  • Define Your Action Plan: Define a clear, prioritized plan to strengthen Your Integrated Insights, combining the standard launch-pad actions with the targeted activities below.

Jumpstarting Your Plan

  • Define your accountable lead(s), their roles, responsibilities, and committed capacity
  • Deliver your first 90-day quick wins
  • Configure your Delta 7/28 Plan module
  • Define your measures of success and insights plan
  • Build and kick off your change and comms plan

Targeted Activities

  • Complete: Readiness Snapshot (Scans + Executive Brief)
  • Complete: Readiness Heatmap + Top-10 Acceleration Guide
  • Complete: Integrate Readiness Diagnostics into a Single Readiness Scorecard
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Conduct a Maturity Gap Mini-Assessment: Rapidly assess one team or function to uncover GenAI readiness gaps.
  • Pilot a Cross-Functional Readiness Review: Bring together stakeholders to explore current gaps in talent, data, and workflows.
  • Visualize Your Maturity Profile: Build a simple, visual representation of current vs. target maturity to guide stakeholder discussions.
To move from Experimentation to “Lifting-Off”, prioritize the following actions:
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Validate whether your GenAI maturity assessment approach provides meaningful, actionable insight.
  • Define in-scope Processes and Guardrails: Establish boundaries for how maturity assessments will be conducted, shared, and interpreted.
  • Close any Data or Measurement Gaps: Ensure that teams have access to accurate data on GenAI adoption, usage, and enablement across functions.
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units
  • Define Your Phased Implementation Plan: Sequence maturity assessments by region, business unit, or capability area to avoid overload.
  • Build Awareness and Finalize Enablers: Prepare internal teams to use maturity insights in planning and prioritization discussions.
  • Operationalize Your Comms Plan: Provide regular updates and training to keep stakeholders aligned on the value and next steps tied to GenAI maturity assessments.
To move from Lifting-Off to “Accelerating”, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Create a GenAI Maturity Playbook: Document methods, scoring rubrics, and case studies to support internal assessments.
  • Standardize Roles and Responsibilities: Define who leads, supports, and reviews GenAI maturity efforts across teams.
  • Build a Shared Repository: Centralize templates, training, and outputs to streamline future maturity assessments.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Expand Maturity Reviews to New Areas: Extend readiness assessments beyond pilot domains into broader business units.
  • Embed Insights into Planning Cycles: Use maturity insights in strategic planning, investment prioritization, and portfolio reviews.
  • Remove Redundancies and Streamline Tools: Eliminate duplicative or disconnected maturity assessment methods.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Highlight Maturity Milestones: Share before-and-after snapshots to show progress and inspire broader engagement.
  • Recognize Teams Driving Change: Celebrate groups that have meaningfully closed readiness gaps or advanced their GenAI maturity.
  • Promote Use Cases Powered by Readiness: Feature initiatives that succeeded because of earlier maturity investments.
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific Capability represents a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Embed Maturity Reviews into Governance Routines: Make readiness assessments a recurring part of planning and resourcing cycles.
  • Automate Assessment Processes: Use digital tools to schedule, run, and summarize GenAI maturity assessments across teams.
  • Eliminate Manual Reporting: Integrate GenAI maturity data into dashboards and planning systems.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Auto-Generate Readiness Reports: Use GenAI to summarize key findings and recommended actions based on assessment data.
  • Monitor Progress with Real-Time Dashboards: Provide always-on visibility into maturity trends, gaps, and improvements.
  • Pre-Populate Assessments with System Data: Minimize survey fatigue by auto-filling known information from other systems.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Link Maturity Insights to ROI Tracking: Correlate readiness improvements with GenAI outcomes across revenue, cost, or risk.
  • Refresh Scoring Criteria Regularly: Keep maturity definitions aligned with the evolving GenAI landscape and enterprise goals.
  • Expand Benchmarking Capabilities: Compare internal teams or external peers to set more ambitious targets.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Over-Relying on Subjective Assessments: Assessments that rely only on self-reported maturity often lack accuracy or consistency.
  • Failing to Connect to Strategy: Maturity measurement without strategic alignment leads to disconnected and low-impact actions.
  • Ignoring Readiness Gaps in Enablers: Many assessments focus on outcomes but miss enablers like data, tools, and leadership support.
  • Applying a “One and Done” Mentality: Treating maturity as a single event rather than an ongoing process limits long-term value.
  • Confusing Activity with Progress: Simply completing assessments is not the same as closing real gaps.

Targeted Benefits

While Measuring GenAI Maturity and Readiness Gaps can be challenging, its benefits are clear and compelling, including:

  • Smarter Investment Decisions: Helps teams focus time and resources where they’ll drive the most impact.
  • Faster Scaling of GenAI Capabilities: Identifies what’s ready to scale and what needs more work.
  • Greater Stakeholder Alignment: Creates a shared understanding of GenAI strengths and challenges across teams.
  • Increased Organizational Agility: Enables faster pivots based on real-time insights into what’s working.
  • Clear Competitive Differentiation: Builds maturity as a capability that sets the organization apart from slower-moving peers.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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