Token Economics - FinOps for AI · A podcast by Profisea Labs

Profisea Labs
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AI is eating budgets. Token Economics is here to fix that. Hosted by Ariel & Ariel from the Profisea team — who work hands-on with scaling startups every day - this podcast unpacks the real economics of AI: token costs, GPU spend, LLM optimization, cloud architecture, and the FinOps strategies that separate startups who scale profitably from those who burn cash. Each episode features candid conversations with international CTOs, founders, and tech leaders navigating growth, cost, and AI adoption. Brought to you by Profisea Labs - experts in FinOps, DevOps, and AI-driven cloud cost optimization

Episodes

  1. Aug 17

    Building an AI-First Bank: AI, FinOps & Engineering Leadership | Token Economics #2

    What does it really take to build an AI-first bank in one of the world's most regulated industries? In this episode of Token Economics, we welcome Jiří Raska , CTO of Partners Bank, for a deep dive into the technologies, decisions, and leadership principles shaping the future of modern banking. We discuss how Partners Bank is driving AI adoption across engineering teams, balancing innovation with strict security and compliance requirements, managing AI costs through FinOps practices, and building the infrastructure needed to scale AI responsibly. We also explore: AI agents and their impact on engineering productivity Model selection, routing, and governance Human-in-the-loop AI for critical banking workflows The future of hiring and engineering leadership in the AI era How AI is transforming customer experiences in financial services Whether you're leading engineering, building AI products, or looking to scale AI responsibly, this episode offers practical insights from a CTO operating at the intersection of cloud, AI, and financial services. 🎧 Tune in to hear how one of Europe's most innovative banks is preparing for the next generation of AI.

  2. Aug 10

    Your AI Bill Is 88% Cache: FinOps for AI with Anton Grishko | Token Economics #1

    Anton Grishko, Chief Architect at Profisea Labs, spent $14,000 on tokens in one month 88% of it on cache. In episode one of Token Economics, he and Ariel break down where your AI money really goes and how to cut it. • 10 runaway sessions that burned 70% of all tokens • Cutting MCP tool context from 57K to 9K tokens • Why Claude Code finds the right answer only 17% of the time and how graphs fix it • The $1M/year forward deployed engineer role • Quick wins: Graphify, Obsidian, and "Caveman" prompts Token Economics FinOps for AI, by Profisea Labs (AWS & GCP Premier Partner). Follow us on LinkedIn | profisealabs.com

  • 2 Episodes

About

AI is eating budgets. Token Economics is here to fix that. Hosted by Ariel & Ariel from the Profisea team — who work hands-on with scaling startups every day - this podcast unpacks the real economics of AI: token costs, GPU spend, LLM optimization, cloud architecture, and the FinOps strategies that separate startups who scale profitably from those who burn cash. Each episode features candid conversations with international CTOs, founders, and tech leaders navigating growth, cost, and AI adoption. Brought to you by Profisea Labs - experts in FinOps, DevOps, and AI-driven cloud cost optimization

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