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AI Platform Economics: Asymmetric ROI

How to fund platform bets when features look expensive but compound value across business units.

Reuse factor

4.2x

Downstream features per core

Payback

14 mo

Platform subset

Cost per query

-31%

After routing+cache

Adoption

11

Product lines on gateway

The Problem

Central AI platforms compete for capital with faster local wins. Finance sees cost; product sees optionality. Without a shared economic model, platforms starve or overbuild.

The AI Architecture

Unit economics for reusable components (models, gateways, data contracts), attribution of downstream wins, and stage-gates tied to adoption—not science-fair accuracy leaderboards.

The ROI/Outcome

Clearer funding narratives for agentic infrastructure and catalog intelligence, with explicit kill/scale criteria tied to measured adoption and risk reduction.

Tech Stack

Finance

  • TCO models
  • Chargeback
  • Stage gates

Product

  • Roadmaps
  • Adoption KPIs
  • Sunset rules

Engineering

  • Shared services
  • SLOs
  • Capacity planning

Risk

  • Scenario stress
  • Responsible AI costs