Accelerated Innovation

Analyzing Operational and Change Management Practices for GenAI

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Analyzing Operational and Change Management Practices for GenAI

Description

Analyzing operational and change management practices for GenAI helps organizations understand how GenAI adoption is impacting workflows, systems, and teams. This capability focuses on evaluating how effectively GenAI initiatives are integrated into business operations and how well change is managed across stakeholders.

Why it's Important

Successful GenAI adoption depends on more than just model performance. It requires thoughtful integration into day-to-day work, systems, and behaviors. Without robust operational planning and change management, GenAI projects may stall, face resistance, or fail to scale. Teams need clear workflows, updated SOPs, and mechanisms for feedback, retraining, and support. Analyzing these processes helps organizations identify bottlenecks, align enablement efforts, and ensure that GenAI is truly adding value at scale. It also enables leaders to continuously improve how GenAI-driven change is introduced and sustained.

Why it's Challenging @ Scale

  • Change management practices are often outdated or informal: Many organizations lack structured approaches for rolling out GenAI solutions across diverse teams.
  • Operational responsibilities are unclear: It’s often ambiguous who owns day-to-day GenAI operations-product teams, IT, or innovation groups.
  • Legacy systems don’t support GenAI workflows: Traditional platforms and processes may not accommodate the flexibility GenAI tools require.
  • Enablement efforts are not tracked: Training, documentation, and support are rarely measured or optimized across adoption cycles.
  • Resistance and fatigue can derail momentum: Without thoughtful engagement, employees may feel confused, left behind, or overloaded.

Complexity

High. Maturing this capability requires structured rollout strategies, cross-functional ownership, upgraded tooling, and ongoing engagement to ensure adoption sticks.

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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.

  • Explore Key Concepts & Best Practices: Complete the GenAI Governance Insights Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Exploring GenAI governance measurement and reporting best practices.
  • Defining your core GenAI governance metrics.
  • Closing key GenAI governance data gaps.
  • Enabling broad-based adoption of your GenAI governance insights.
  • GenAI governance insights continuous improvements best practices.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI strategy.
  • Align on your current state and define your target state.
  • Create an actionable enablement plan.
  • Define target timeline and measures of success.
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Launch a GenAI support playbook: Provide quick-reference guides and escalation steps for early users navigating new workflows.
  • Run a change readiness pulse check: Survey target users to understand expectations, concerns, and support needs before rollout.
  • Host a pilot post-mortem: Analyze one or more pilot GenAI projects to identify what operational practices worked and what needs improvement.
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • Secure AI Insights.
  • Responsible AI Insights.
  • Integrated Change Management Insights.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Review how GenAI pilots were integrated into current workflows, tools, and org structures.
  • Define in-scope Processes and Guardrails: Clarify which teams, systems, and change plans are needed to operationalize GenAI at scale.
  • Close any Data or Measurement Gaps: Identify missing indicators for tracking operational friction, adoption blockers, or training gaps.
  • 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: Identify rollout waves based on team readiness, business impact, or tool dependencies.
  • Build Awareness and Finalize Enablers: Equip team leads with onboarding kits, job aids, and feedback channels tailored to their function.
  • Operationalize Your Comms Plan: Share GenAI rollout updates, wins, and training opportunities in a centralized and consistent format.
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Publish GenAI operating models: Define how GenAI projects are staffed, funded, supported, and governed across the enterprise.
  • Standardize change management toolkits: Provide reusable templates and guides to support consistent rollouts across business units.
  • Incorporate feedback loops into rollout plans: Ensure each wave of adoption includes surveys or retrospectives to improve the next phase.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Scale enablement across functions: Offer just-in-time support, training, and comms tailored to local team needs.
  • Build frontline change champions: Empower team leads or early adopters to support their peers and advocate for success.
  • Track rollout performance across sites: Use dashboards to monitor rollout completion, satisfaction, and usage metrics by department or geography.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Highlight successful change initiatives: Share stories of teams that embraced new GenAI ways of working and achieved impact.
  • Recognize change leadership: Acknowledge managers or project leads who drove adoption through great planning or communication.
  • Create internal case studies: Document repeatable change management plays and share them across teams to promote consistency.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Embed GenAI into enterprise operating models: Ensure GenAI-specific governance, enablement, and rollout practices are fully normalized across departments.
  • Simplify change processes: Make it easy for teams to adopt and operationalize GenAI through shared templates, automation, and self-service options.
  • Build change-readiness into project intake: Require all new GenAI proposals to include operational readiness and change plans.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Automate rollout tracking: Use dashboards or bots to monitor training completion, usage patterns, or support requests.
  • Use GenAI to co-author change materials: Generate custom onboarding guides, FAQ lists, and support workflows using your own GenAI tools.
  • Automate enablement content delivery: Tailor learning and resources to user roles and rollout phases using rule-based or AI-driven systems.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Conduct enterprise-wide change effectiveness reviews: Regularly assess which change strategies work best and adjust accordingly.
  • Expand support to GenAI operating at scale: Ensure tools, resources, and processes scale alongside model adoption.
  • Continuously benchmark change performance: Compare internal progress against industry benchmarks and adjust plans accordingly.

Key "Watchouts"

  • Treating GenAI rollout as a one-time event: Adoption is ongoing and requires reinforcement over time.
  • Failing to define ownership: Without clear accountability, operational responsibilities fall through the cracks.
  • Over-relying on informal communication: GenAI adoption efforts can stall without structured enablement and comms.
  • Neglecting team feedback: Change fatigue and confusion often go unreported if no feedback loops are in place.
  • Scaling too soon: Rolling out GenAI without validating early operational gaps creates long-term rework and resistance.

Targeted Benefits

  • Smoother adoption across business units: Teams are better prepared, equipped, and aligned on what GenAI adoption involves.
  • Higher satisfaction with GenAI tools: Operational clarity and change support improve user trust and tool effectiveness.
  • Reduced rollout friction: Strong change management minimizes resistance, confusion, and rework.
  • Faster scaling of successful pilots: Operational readiness enables more confident and efficient expansion.
  • Greater resilience to evolving GenAI needs: Strong practices help organizations adapt to new models, tools, and ways of working.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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