Tokenomics dashboard: unified observability and interpretability of AI token usage and cost across all providers
A one-stop product that aggregates token spend and usage from every AI provider a company uses (OpenAI, Anthropic, GitHub Copilot, etc.), maps it to the company's org and finance hierarchies, and serves three distinct audiences: engineers (budget tracking, model choice), engineering managers (adoption trends, team cost vs output), and finance (budgets, alerting, ROI justification). Provider dashboards fail because each shows only its own spend, don't serve finance needs, and bills change after the fact via reconciliation.
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From AI Engineer — Why No One Agrees on What Their AI Tokens Cost - Pratyusha Duvvuri, Cisco at 00:46
Problem: Nobody agrees what tokenomics means; token spend is like a taxi meter with no idea what it will show at the end. Provider dashboards are fragmented (one per provider), don't map spend to ownership the way finance thinks (OPEX/COGS hierarchy differs from the Workday management hierarchy), and providers retroactively revise bills through reconciliation, so there is no single honest view of true usage and cost.
For: Companies spending heavily on AI tokens — engineers, engineering managers, and finance teams; surveyed customers included telcos and fintech companies.
Products from this video
ADP Anthropic Cisco Tokenomics Dashboard Cursor GitHub Copilot OpenAI Workday, Inc.
Examples
- The speaker's own team took the tokenomics dashboard from first customer call to GA in 10 weeks and is getting paid for it.
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