GenAI scale can create leverage—or quietly erode margin. Build the economic control system that shows what each use case really costs, where demand is headed, and what to scale, redesign, reprice, or stop.
Economics discipline slips when leaders can’t see the full cost-to-serve, funding decisions outrun evidence, and weak forecasting lets margin erosion hide inside fast-growing adoption. That’s when the business starts forcing questions like:
Are we...
…working from one trusted GenAI economics view with clear ownership?
…wiring GenAI economics into FP&A rhythms, instead of leaving it in side spreadsheets no one can govern?
…able to forecast GenAI economics under real scenarios, instead of getting surprised every billing cycle?
…seeing the fully loaded cost of GenAI end to end?
…using economics to decide what to scale, redesign, price differently, or stop, rather than funding growth we can’t fully defend?
Our Solution - Build the economic control system GenAI scale demands
Built to help leaders protect margin while GenAI scales, our Integrated Product Economics Analytics Playbook helps you connect usage, cost-to-serve, adoption, pricing, chargeback/showback, and forecasting into one decision system—so you know what to scale, what to optimize, and what to stop.
Your GenAI Economics Playbook @ a Glance
- Structured 1:1 discovery sessions to surface economics priorities, cost visibility gaps, and scaling constraints
- A targeted readiness scan to isolate the highest-impact reporting, forecasting, and governance gaps
- An executive brief covering integrated GenAI product economics analytics best practices, scaling requirements, and business implications
- Introducing scalable methods to measure, forecast, and govern GenAI product economics at scale
- Exploring applied Use Cases, adoption best practices, and key “Watch Outs”
- Aligning on an actionable scaling plan
- Identifying and prioritizing the economics, forecasting, showback/chargeback, and governance gaps creating the most margin risk and portfolio confusion
- Exploring our 17 Product Economics Analytics Acceleration Guides
- Leveraging a GenAI Strategist-led planning session to define your action plan
- GenAI Solution Cost-to-Serve Analytics Best Practices
- GenAI Solution Forecasting, Scenario Modeling, & Demand Planning Best Practices
- GenAI Product Economics Reporting, Governance, & Showback/Chargeback Best Practices
- GenAI Product Economics Analytics FP&A & Investment Governance Best Practices
- Co-deliver quick wins to “make it stick” and accelerate your target-state delivery goals
- Configuring and customizing your Product Economics Analytics scaling playbook
- Operationalizing your Product Economics Analytics Target Operating Model (TOM)
- Optimizing and evolving your TOM as model mix, adoption, pricing, capital priorities, and cost structures change
- Configuring and customizing your Product Economics Analytics metrics and insights plan
- Operationalizing your Product Economics Analytics Insights Plan and operational processes
- Optimizing and evolving your insights so margin erosion, cost-to-serve shifts, funding gaps, and value leakage surface earlier
- < 30 Days Wins: Lightly configurable resources and solutions
- 30 – 60 Day Wins: Lightly customizable Quick Wins
- 60 – 90 Day Wins: Increasingly high value Quick Win deliverables
- Baseline your economics model, visibility gaps, and planning resources
- Tailor the plan to the margin priorities, forecasting gaps, and trade-off decisions that most affect scale economics
- Deliver Quick Wins, build capability, and scale priority solutions through one integrated plan
- Identify your priority stakeholders, communication needs, and product economics visibility gaps
- Configure and deliver a tailored Product Economics Analytics communications plan, custom Comms Hub, and role-specific enablement assets
- Build and sustain momentum with explainers, demos, videos, and proof points.
- Define your quarterly Product Economics Analytics review, optimization, and adaptation process
- Enable quarterly strategy and scaling plan updates, with rapid response to major market, innovation, performance, and competitor shifts
- Keep your Product Economics Analytics approach evergreen by continuously improving how economics are measured, forecast, and governed
- Identify where your teams need targeted coaching to overcome analytics, forecasting, chargeback, pricing, or decision-support gaps
- Deliver tailored expert support, working sessions, and practical guidance
- Help your teams strengthen economics visibility, improve capital allocation, and keep your Product Economics Analytics efforts moving forward
Choose Your On-Ramp...
Choose the right on-ramp for your Product Economics Analytics journey—whether you’re looking to rapidly align and mobilize, solve targeted challenges, or scale your Product Economics Analytics holistically.
An Accelerated Alignment & Action Planning Sprint
A fast-paced leadership alignment and action planning sprint to:
- Baseline your current product economics analytics maturity
- Identify the biggest cost visibility, forecasting, and decision-support gaps
- Align on the priorities that matter most
- Define your path forward
- Identify near-term Quick Wins
Build the Economic Control System GenAI Scale Demands
Confidently scale your Product Economics Analytics with a tailored TOM that helps you turn fragmented cost signals and disconnected reporting into a clearer, forecastable, margin-aware economic control system.
Targeted GenAI Economics Bottleneck Quick Wins
Rapidly solve a targeted Product Economics Analytics challenge, including:
- Baseline your current analytics and visibility gaps
- Address a high-priority cost visibility, forecasting, pricing, or chargeback/showback bottleneck
- Clarify the decision priorities that matter most
- Align on practical actions to move forward
- Deliver focused progress in a matter of weeks
Outcomes you can expect
Create a clearer view of fully loaded cost, usage, margin pressure, and value across your GenAI portfolio.
Improve how well you understand cost-to-serve, efficiency, and return across your GenAI investments.
Focus resources on the products, use cases, and optimization moves most likely to create value and protect margin.
Equip leaders with stronger economics to make better investment, scaling, pricing, and operating decisions.
Turn stronger product economics insights into better trade-offs, sharper execution, and more meaningful business results.
Complimentary Resources
Curious About What “Great Looks Like”?
Review our “Product Economics Analytics” Whitepaper
Want to See How You Compare?
Complete our Product Economics Analytics Scan or Assessment
Want an easy way to come up to speed?
Click here to listen to our Product Economics Analytics Podcast
Want to dig deeper?
Click here to check out our library of YouTube videosFrequently Asked Questions
- Why do we need stronger Product Economics Analytics now?
Because GenAI won’t scale profitably if leaders can’t see cost, value, and the tradeoffs shaping return. - What outcomes should we expect from this work?
Clearer cost visibility, sharper tradeoff decisions, improved efficiency, and stronger confidence in where to invest. - What happens if we don’t strengthen Product Economics Analytics?
Costs erode value quietly, and leaders struggle to see what is paying off.
- What do you mean by “Product Economics Analytics”?
A clear view of the costs, value, efficiency, and return behind GenAI. - What are the main deliverables from this work?
Economics visibility, decision support, and a path to better ROI. - What do “Quick Wins” look like in Product Economics Analytics work?
Improve cost visibility, clarify value measures, and target biggest improvement areas.
- Does this only apply to mature GenAI products?
No—it helps early and mature solutions where leaders need sharper views of cost, value, and scale. - Can this work across different types of GenAI solutions?
Yes—it works across copilots, assistants, workflow tools, knowledge solutions, and other GenAI offerings. - Does this cover more than cost tracking?
Yes—it covers value creation, usage patterns, return drivers, and efficiency—not just cost tracking.
- How do you decide which economics questions to address first?
We focus on the economics questions that most improve investment choices and tradeoffs. - How do you keep Product Economics Analytics practical and not overly financial?
We ground it in the measures leaders need to see value, cost, and next moves. - How do you connect economics analytics to better GenAI decisions?
We turn economics signals into sharper choices about prioritization, optimization, and scale.
- Who should be involved from our side?
Product leaders, finance partners, and business stakeholders who own investment and performance decisions. - How do you keep economics analytics from becoming disconnected from product decisions?
We tie the analytics directly to product, operating, and investment decisions. - How do you sustain this after the initial work is done?
We build an economics discipline that keeps improving visibility, choices, and return.