Building the AI Monetization Stack
Join Twill, Founders Bay, and Amberflo for a focused technical workshop on how AI-native teams can prevent runaway AI spend with better metering, chargeback, runtime billing, and usage governance.
As AI agents become more compute-intensive, usage-based, and autonomous, companies are facing new challenges around token consumption, cost attribution, budget controls, and real-time visibility. Without the right infrastructure in place, AI usage can scale faster than teams can monitor or manage.
This 30-minute workshop is designed for AI infrastructure teams, platform engineers, CTOs, technical founders, product teams, FinOps leaders, and developers building AI-native products who want practical guidance on scaling AI usage without losing visibility or control.
Together, we’ll explore how modern AI companies are building the monetization and cost-control infrastructure needed to manage usage, improve forecasting, and avoid unexpected AI bills.
What to Expect:
A practical breakdown of AI metering and usage tracking pipelines
Insights on token-level visibility, cost attribution, and real-time usage analytics
Discussion around AI chargeback, showback systems, and runtime billing for agents and workflows
Guidance on budget controls, spend guardrails, anomaly detection, and AI FinOps
A technical look at designing AI products with monetization and cost controls from day one
Real-world examples of how organizations can avoid runaway AI spend and build more sustainable AI business models
This event is designed for:
AI Infrastructure Engineers
Platform Engineers
CTOs and Technical Founders
AI Product Teams
FinOps Leaders
Cloud Infrastructure Teams
API Platform Teams
Developers Building AI-Native Products
Event Details:
Date & Time: July 15 at 11:00 AM Pacific
Format: 30-minute technical workshop + live discussion
Presented by: Twill × Amberflo
Cost: Free, registration required
Reserve Your Spot
Join us for a practical technical workshop on how AI monetization infrastructure is evolving — and what engineering, finance, product, and platform teams need to understand as AI usage, cost visibility, runtime billing, and operational governance become increasingly connected.
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