Accelerated Innovation

Evaluating GenAI Use Case Feasibility and Impact

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Evaluating GenAI Use Case Feasibility and Impact

Description

This capability focuses on systematically assessing GenAI use cases to determine both their technical feasibility and potential business impact. It helps organizations avoid misaligned or overhyped initiatives by grounding decisions in clear criteria and collaborative evaluation.

Why it's Important

As GenAI exploration accelerates, teams are flooded with ideas-many of which are exciting but impractical. Without structured feasibility and impact analysis, organizations risk wasting time on pilots that fail to scale or deliver value. This capability ensures that GenAI investments are directed toward initiatives that are technically achievable and strategically meaningful. It also helps build executive confidence by aligning project selection with enterprise goals and available capabilities.

Why it's Challenging @ Scale

  • Lack of shared evaluation criteria: Different teams use inconsistent methods to assess feasibility and impact, leading to misaligned priorities.
  • Overreliance on intuition or hype: GenAI use cases are often selected based on excitement or novelty rather than clear business value or technical readiness.
  • Limited access to relevant data: Key metrics and historical data needed to evaluate feasibility or ROI may be scattered or unavailable.
  • Insufficient stakeholder input: Evaluations lack cross-functional perspectives, resulting in blind spots or resistance during implementation.
  • Difficulty comparing across use cases: Without a common scoring or ranking framework, it’s hard to prioritize effectively across a growing pipeline.

Complexity

High: Establishing consistent, cross-functional feasibility and impact assessments requires process standardization, tooling integration, and strong collaboration across business and technical domains.

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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 Center of Enablement (CoE) Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Defining the vision and mission of a GenAI CoE.
  • Establishing governance and ownership structures.
  • Cataloging core services and support functions.
  • Communicating value and success metrics.
  • Planning the evolution and scaling of the CoE.
  • 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.
  • Build a lightweight feasibility assessment template: Create a simple, repeatable worksheet teams can use to evaluate new GenAI ideas.
  • Run 3-5 use case triage sessions: Host short working sessions with cross-functional teams to score early-stage ideas.
  • Publish a use case decision log: Capture and share rationale behind which ideas move forward or are deprioritized.
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • GenAI Use Case Discovery & Prioritization Best Practices.
  • GenAI R&D Acceleration & Applied Innovation Best Practices.
  • GenAI R&D Acceleration & Applied Innovation Best Practices.
  • Enterprise GenAI Architecture & Tooling Best Practices.
  • GenAI Development Best Practices & Support.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Evaluate the criteria and tools used to assess use case feasibility and impact-identify gaps and refine for broader use.
  • Define in-scope Processes and Guardrails: Establish clear decision points, approval roles, and thresholds for advancing GenAI ideas.
  • Close any Data or Measurement Gaps: Ensure evaluation processes have access to relevant performance metrics, technical benchmarks, and stakeholder feedback.
  • 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: Pilot the use case evaluation framework with a focused group, then roll out in waves by domain or business function.
  • Build Awareness and Finalize Enablers: Provide templates, training, and coaching to help teams confidently assess new use cases.
  • Operationalize Your Comms Plan: Share how feasibility and impact evaluations will guide GenAI decisions-clarify roles, tools, and success criteria.
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Establish a centralized use case evaluation repository: Publish a curated library of previously scored and evaluated GenAI use cases.
  • Standardize feasibility and impact scoring criteria: Define universal evaluation fields and scoring rubrics used across the organization.
  • Embed evaluation checkpoints into governance workflows: Require feasibility and impact assessment for all GenAI proposals entering intake or review.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Expand evaluation coverage to more domains: Apply the evaluation framework to marketing, HR, operations, and other underutilized areas.
  • Automate scoring and intake workflows: Use forms or AI assistants to collect and triage GenAI use cases faster.
  • Enable teams to self-assess: Provide training and tools so teams can independently score feasibility and impact before CoE review.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Highlight use cases with high impact scores: Share results from well-evaluated and successfully implemented projects.
  • Recognize teams who champion evaluation practices: Showcase contributors who helped build or refine the framework.
  • Promote transparency in decision-making: Share summaries of why use cases were approved, postponed, or rejected.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Integrate evaluation into standard intake forms: Embed feasibility and impact scoring directly into project or funding requests.
  • Standardize intake SLAs for triage and review: Create predictable turnaround times and responsibilities for reviewing proposed use cases.
  • Link scoring outcomes to resourcing decisions: Use impact scores to inform prioritization, staffing, and funding allocations.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Build a GenAI use case recommendation engine: Suggest relevant past use cases or evaluation scores to guide current submissions.
  • Automate initial feasibility checks: Use bots to flag low-scoring or redundant ideas before human review.
  • Enable dynamic dashboards for portfolio tracking: Visualize feasibility vs. impact across all proposed and active initiatives.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Analyze evaluation trends to inform strategy: Identify patterns in feasibility gaps or high-impact themes over time.
  • Expand evaluation coverage to frontier ideas: Extend the framework to more speculative or experimental GenAI concepts.
  • Benchmark against industry scoring models: Compare internal evaluations with external best practices or emerging frameworks.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Skipping feasibility assessments entirely: Rushing ahead without structured evaluation often leads to costly rework or stalled initiatives.
  • Focusing only on technical feasibility: Ignoring business impact can result in use cases that are impressive but irrelevant.
  • Relying on gut feel instead of data: Subjective decisions undermine trust in the prioritization process.
  • Overcomplicating the scoring model: Evaluation frameworks that are too complex will frustrate teams and slow adoption.
  • Leaving out key stakeholders: Excluding business, security, or legal input can lead to blind spots and project delays.

Targeted Benefits

While Evaluating GenAI Use Case Feasibility and Impact can be challenging, its benefits are clear and compelling, including:

  • Better use of time and resources: Teams focus on GenAI opportunities that are both viable and valuable.
  • Faster decision-making cycles: Structured evaluation streamlines intake and removes ambiguity.
  • Stronger cross-functional alignment: Shared scoring criteria promote consensus across business and tech teams.
  • Higher success rate for pilots: Upfront feasibility and impact screening helps prevent failed experiments.
  • Clearer communication with leadership: Evaluation artifacts provide transparency and confidence in GenAI investments.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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