Accelerated Innovation

Defining Economics Prioritization

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Defining Economics Prioritization

Description

This capability enables organizations to prioritize GenAI initiatives based on economic drivers such as cost-to-serve, margin impact, feature ROI, and total cost of ownership. It helps teams make informed trade-offs by embedding financial considerations directly into solution planning and decision-making.

Why it's Important

Many GenAI efforts are driven by innovation goals or user demand, but without clear economic prioritization, organizations risk investing in solutions that are expensive to operate or deliver limited value. By integrating financial metrics into prioritization, teams can make smarter choices about where to scale, what to improve, and which capabilities to retire. It also ensures that GenAI portfolios support long-term sustainability and align with business outcomes, not just technical potential.

Why it's Challenging @ Scale

  • Limited access to reliable financial data: Many GenAI teams don’t have visibility into the true cost or ROI of their solutions.
  • Unclear ownership of prioritization models: Finance, product, and operations may all define value differently, leading to conflicting priorities.
  • Difficulty comparing diverse GenAI initiatives: Some features drive efficiency, others drive revenue-making trade-offs complex.
  • Economic impact is often lagging or indirect: Benefits may not show up immediately in standard reporting metrics.
  • Lack of repeatable frameworks: Prioritization decisions are often made ad hoc instead of using consistent economic criteria.

Complexity

High: Maturing this capability requires shared frameworks, integrated financial and operational data, and alignment across leadership on how GenAI initiatives are evaluated and ranked.

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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 Evaluation Driven Development for High-Impact GenAI Solutions workshop (2 hrs.) to understand foundational key concepts and explore applied best practices
  • Framing the Role of Evaluation in GenAI Development.
  • Understanding Key EDD Concepts and Benefits.
  • Linking EDD to Risk Mitigation and Solution Quality.
  • Identifying Where and When to Use EDD.
  • Planning Your EDD Implementation Strategy.
  • 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.
  • Run a Pilot Prioritization Session Using Economic Criteria: Apply sample ROI, cost-to-serve, and time-to-impact scores to 3 to 5 GenAI initiatives.
  • Develop a Simple Prioritization Framework: Create a scoring rubric based on 3 to 4 economic factors most relevant to your business.
  • Engage Finance in a Review of GenAI Initiatives: Partner with finance to assess which current projects align best with cost and value goals.
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:
  • Leveraging EDD to Optimize Your Solution Roadmap.
  • Leveraging Customer Data to Optimize Your Solution Roadmap.
  • Leveraging Adoption Data to Optimize Your Solution Roadmap.
  • Leveraging Product Economics Data to Optimize Your Solution Roadmap.
  • 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 how GenAI investments are currently evaluated and where economic criteria are missing.
  • Define In-Scope Processes and Guardrails: Identify which types of GenAI decisions must be supported by financial analysis.
  • Close Any Data or Measurement Gaps: Ensure accurate data is available for estimating cost-to-serve, return on investment, and value contribution.
  • 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: Start by applying prioritization to high-spend or high-growth GenAI use cases.
  • Build Awareness and Finalize Enablers: Train delivery and leadership teams on how to interpret and apply economic scoring models.
  • Operationalize Your Comms Plan: Share prioritization decisions transparently and explain the rationale behind how investments are ranked.
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
  • Publish an Economics-Based Prioritization Framework: Include scoring criteria such as feature ROI, operational cost, value-to-cost ratio, and implementation risk.
  • Create Decision Templates for GenAI Investment Reviews: Standardize how teams present and justify GenAI priorities based on financial impact.
  • Establish Economic Scoring Reviews in Governance Cadence: Make prioritization a formal step in GenAI solution planning and portfolio reviews.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Apply Economic Scoring Across All GenAI Workstreams: Ensure product, design, data, and ops teams use shared scoring logic to inform priorities.
  • Create Tools That Automate Economic Comparison: Build internal dashboards or calculators to estimate cost, benefit, and breakeven scenarios.
  • Link Prioritization Decisions to Outcome Tracking: Measure whether high-priority GenAI efforts delivered the expected financial returns.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Showcase Prioritized Projects That Delivered Value: Highlight examples of GenAI investments that exceeded ROI or cost-saving expectations.
  • Recognize Teams That Drove Economic Discipline: Celebrate collaboration between product, finance, and leadership that led to smarter prioritization.
  • Publish Before-and-After Portfolio Snapshots: Demonstrate how economic scoring reshaped GenAI investment strategy or solution focus.
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 Economics Scoring Into Planning and Budgeting Tools: Ensure GenAI initiatives cannot move forward without financial rationale.
  • Use Prioritization Scores in Executive Reviews: Make economic value a primary lens in funding, sequencing, and go/no-go decisions.
  • Integrate With Roadmap and OKR Platforms: Align prioritized initiatives with broader business goals and financial performance targets.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Auto-Generate Prioritization Scores From Operational Data: Link cost and usage data to calculate value-to-cost ratios at scale.
  • Use AI to Recommend Trade-Offs Based on Value: Suggest which initiatives to delay, scale, or accelerate based on real-time financial impact.
  • Trigger Reviews When Economics Shift: Automatically re-evaluate priorities when cost, adoption, or market dynamics change.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Refine Prioritization Models Based on Outcome Data: Improve scoring logic based on actual business results versus projections.
  • Extend Economic Prioritization to Adjacent Portfolios: Apply scoring to related AI, automation, or platform initiatives.
  • Benchmark Across Teams and Markets: Compare which teams deliver the strongest ROI and share best practices to lift overall performance.

Key "Watchouts"

  • Over-optimizing for short-term returns: Some GenAI investments require time to show strategic or operational value.
  • Ignoring intangible benefits: Economic models that overlook experience, trust, or enablement value may deprioritize the wrong efforts.
  • Using inconsistent scoring across teams: Without a unified framework, prioritization loses credibility.
  • Failing to revisit assumptions: ROI, costs, and demand change over time-prioritization must remain dynamic.
  • Letting finance own prioritization alone: This is a cross-functional process, not a handoff to a single function.

Targeted Benefits

  • Smarter allocation of GenAI resources: Ensures that time, talent, and funding are focused on what drives business value.
  • Faster, more confident decision-making: Brings clarity and structure to investment and roadmap trade-offs.
  • Clearer linkage between GenAI and financial outcomes: Helps leadership see how technical investments impact the bottom line.
  • Greater accountability across teams: Shared frameworks promote transparency and reduce subjective prioritization.
  • Stronger case for GenAI at scale: Data-backed decisions make it easier to secure buy-in and investment for strategic initiatives.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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