Accelerated Innovation

Ensuring You Have the Product Economics Analytics Capabilities to Win

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Ensuring You Have the Product Economics Analytics Capabilities to Win

Description

Product Economics Analytics helps organizations understand the full financial footprint of their GenAI solutions. This includes tracking development, operational, and indirect support costs, as well as the downstream value these solutions generate. By making these cost-benefit dynamics visible, organizations can make smarter, more sustainable product decisions.

Why it's Important

GenAI initiatives can be resource-intensive, with costs often spread across multiple departments and phases of development. Without accurate economics analytics, it’s difficult to assess ROI, prioritize investments, or identify cost optimization opportunities. Effective Product Economics capabilities ensure that business leaders and product teams can clearly understand where GenAI is delivering value-and where it’s not. These insights are critical for aligning roadmaps to impact, driving accountability, and scaling GenAI in a fiscally responsible way.

Why it's Challenging @ Scale

  • Invisible GenAI Cost Drivers: Many GenAI costs-like compute consumption or integration support-are hidden across functions and difficult to surface.
  • Lack of Standardized Cost Frameworks: Without consistent definitions or templates, teams struggle to measure GenAI costs and benefits accurately.
  • Fragmented Data Ownership: Cost and usage data often reside in disconnected systems owned by different teams, making analysis labor-intensive.
  • Unclear Attribution for Shared Services: It’s difficult to allocate costs fairly when multiple products share infrastructure, data platforms, or LLM services.
  • Limited Financial Literacy in Product Teams: Many teams lack the training or tooling to interpret economics data or apply it to roadmap decisions.

Complexity

High: Maturing this capability requires integrating financial data across silos, developing standardized frameworks, and building analytics fluency into product workflows.

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GenAI Landing Page

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 Developing the GenAI Capabilities to Win workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Cost Analytics
  • Forecasting & Scenario Modeling
  • Reporting & Governance
  • FP&A Integration
  • 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 an initial Product Economics dashboard: Deliver visibility into development and operating costs across a few GenAI initiatives.
  • Run a pilot cost-benefit analysis: Select a single GenAI solution and estimate both cost and business value to validate potential ROI.
  • Identify redundant or underused GenAI investments: Use early insights to reprioritize funding toward higher-value areas.
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:
  • Secure AI Best Practices.
  • Responsible AI Best Practices.
  • Integrated GenAI Change Management Best Practices.
  • GenAI Governance Insights Best Practices.
  • Demystifying Enterprise GenAI Data Readiness.
  • Enterprise LLM Evaluation-as-a-Service (Model EaaS) Best Practices.
  • Enterprise GenAI Orchestration Best Practices.
  • Enterprise GenAI UX Design Best Practices.
  • Enterprise Evaluation Driven Development As-a-Service (EDD EaaS) Best Practices.
  • Enterprise GenAI Ops Best Practices.
  • Enterprise GenAI Talent Best Practices.
  • GenAI Center of Enablement (CoE) Best Practices.
  • GenAI Brand Building Best Practices.
  • Product Economics Analytics Best Practices.
  • Applied Enterprise AI & ML Best Practices.
  • Enterprise Agentic AI Best Practices.
  • Intelligent Orchestration Best Practices.
  • Hyper-Personalization Best Practices.
  • Enterprise Model Training & Fine-Tuning Best Practices.
  • 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 existing Product Economics tools and data sources to identify weaknesses or inconsistencies.
  • Define in-scope Processes and Guardrails: Establish clear standards for what costs and benefits must be tracked for GenAI initiatives.
  • Close any Data or Measurement Gaps: Ensure product teams have access to relevant usage, performance, and cost data for financial modeling.
  • 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 with core product teams and expand analytics rollout based on readiness and value potential.
  • Build Awareness and Finalize Enablers: Equip teams with dashboards, documentation, and self-service support to drive adoption.
  • Operationalize Your Comms Plan: Clearly articulate the “why” behind Product Economics efforts and what’s expected from each stakeholder.
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
  • Standardize GenAI Product Cost Reporting: Define consistent data sources, metrics, and templates to track economics across products.
  • Publish Product Economics Playbooks: Share best practices for analyzing, interpreting, and acting on cost-benefit data.
  • Create Self-Service Toolkits: Provide reusable calculators and dashboards that teams can adapt to their needs.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Expand Analytics Coverage Across Portfolios: Ensure all active GenAI solutions are included in cost-benefit tracking and prioritization workflows.
  • Embed Product Economics Into Funding Reviews: Require economics data as part of approval for new GenAI initiatives.
  • Train Product Teams on Applied Analytics: Ensure teams can interpret the data and apply insights to their decision-making.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Spotlight Use Cases With Positive ROI: Share internal case studies that highlight the financial value delivered through GenAI.
  • Recognize High-Maturity Teams: Celebrate teams that have adopted Product Economics practices effectively.
  • Showcase Product Economics Dashboards in Leadership Reviews: Reinforce impact and accountability by elevating visibility of key insights.
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 Insights in Product Planning Processes: Make cost-benefit analysis a standard input in roadmap development.
  • Integrate Product Economics Into Executive Dashboards: Surface trends and performance across the GenAI portfolio in leadership reporting.
  • Automate Cost Attribution and ROI Calculations: Leverage integrated systems to reduce manual effort and improve accuracy.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Automatically Tag GenAI Costs in Finance Systems: Link costs directly to GenAI initiatives using project codes and metadata.
  • Trigger Alerts for Out-of-Range Economics Metrics: Flag anomalies in cost, usage, or impact that may require intervention.
  • Use Predictive Analytics to Forecast ROI: Apply models to project future financial impact based on historical trends and benchmarks.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Refine Frameworks Based on Lessons Learned: Adjust measurement approaches as the organization gains experience with GenAI.
  • Expand Economics Models to New Domains: Apply product economics insights to additional use cases, regions, or business units.
  • Benchmark Financial Efficiency Against Industry Peers: Use comparative metrics to evaluate how GenAI investments perform relative to competitors.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Focusing Only on Cost, Not Value: Overemphasizing cost tracking without linking to outcomes can lead to misguided decisions.
  • Lack of Shared Definitions Across Teams: Inconsistent interpretations of key metrics (e.g., “total cost” or “impact”) can undermine credibility.
  • Underestimating the Data Integration Effort: Pulling together reliable, complete economics data often requires significant coordination.
  • Failing to Embed Analytics in Planning Cycles: Treating product economics as a reporting exercise, rather than a planning input, limits its usefulness.
  • Delaying Stakeholder Enablement: Teams won’t adopt new analytics practices unless they’re properly trained and supported.

Targeted Benefits

While Product Economics Analytics can be challenging, its benefits are clear and compelling, including:

  • Clearer GenAI Investment Decisions: Teams can prioritize use cases based on real, quantifiable financial impact.
  • Improved Resource Allocation: Insights into cost and value help shift investments toward higher-return initiatives.
  • Faster Roadmap Alignment: Shared understanding of economics accelerates cross-functional agreement on priorities.
  • Stronger Stakeholder Confidence: Transparent cost-benefit analysis improves trust among finance, product, and executive teams.
  • Sustainable GenAI Scaling: Ongoing visibility into ROI ensures GenAI growth remains financially responsible and impactful.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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