Accelerated Innovation

Our Solutions Capability Accelerators Integrated Product Economics Analytics
Protect Margin as GenAI Scales

See what each GenAI use case really costs, where demand is heading, and what to scale, redesign, reprice, or stop.

Key GenAI Economics Challenges

Economics discipline slips when leaders can’t see cost-to-serve, funding outruns evidence, and margin erosion hides inside fast-growing adoption. That’s when leaders start asking value questions like:

Are we...

…giving leaders visibility into true cost-to-serve?

…seeing where margin erosion is hiding?

…able to forecast GenAI economics under real scenarios?

…clear on which use cases should scale, redesign, or stop?

…wiring economics into FP&A rhythms?

The Bottom-Line
Product economics discipline helps leaders scale what works, redesign what drifts, and stop what doesn’t pay back.

Build the economic control system GenAI scale demands

We help leaders see GenAI product economics clearly, from cost-to-serve and demand patterns to scale, redesign, and stop decisions.

GenAI Economics Analytics
Launch Pad
Weeks 1 - 4
Baseline Your Readiness
Develop a clear measure of your current state readiness including:
  • 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
2 Hr. Leadership Alignment & Action Planning Session
A high-impact leadership working session focused on:
  • 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
GenAI Economics Analytics
Mission Control & Lift-Off
Weeks 5 - 12
Benchmark Assessment + Acceleration Guides
Develop a clear view of Integrated Product Economics Analytics, including:
  • 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
Define your readiness assessment + enablement needs and plan for your Product Economics Analytics
Explore core concepts & methods in our Product Economics Analytics certification series, including:
  • 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
GenAI Economics Analytics
Mission Accelerate
Weeks 12+
Scaling Play Book Design & Implementation
Configure and operationalize your scaling approach, including:
  • 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
Insights Design & Implementation Support
Turn data into insights and insights into action by:
  • 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
Weekly Quick Wins
An actionable set of applied Quick Wins to build and sustain momentum, structured as:
  • < 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
Your Acceleration Plan
  • 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
Your Comms 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.
Your Change Plan
  • 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
On-Demand Coaching
  • 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 starting point that fits your product economics urgency, maturity, and scope—from focused alignment to quick wins or a full playbook.

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

Build the analytics discipline leaders need to understand GenAI product economics and make better scale, pricing, and investment decisions.

Targeted GenAI Economics Bottleneck Quick Wins

Rapidly improve product economics visibility, including:
  • Baseline current cost, demand, and margin signals
  • Prioritize one cost visibility, forecasting, pricing, or showback challenge
  • Clarify the decisions the analytics must support
  • Align practical next actions
  • Deliver focused progress in weeks
“This helped us connect GenAI performance, cost, and business value without getting buried in disconnected metrics.”
SVP, Product Strategy, Global Financial Services client

Outcomes you can expect

Transparency

Create a clearer view of fully loaded cost, usage, margin pressure, and value across your GenAI portfolio.

Margin Clarity

Improve how well you understand cost-to-serve, efficiency, and return across your GenAI investments.

Capital Allocation

Focus resources on the products, use cases, and optimization moves most likely to create value and protect margin.

Investment Discipline

Equip leaders with stronger economics to make better investment, scaling, pricing, and operating decisions.

Impact

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 videos

Frequently Asked Questions

1. Why do this now?
2. What will we get?
3. Will it work here?
4. How do we make it real?
5. How do we make it stick?
  • 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.
Protect Margin as GenAI Scales