How Make.com Built AI Cost Observability That Engineers Actually Use

In the second session of FinOps Summer Camp, Make.com's Lukáš Pokorný and Martin Cangár discussed their approach to building AI cost observability using Vantage, in collaboration with Vantage CEO Ben Schaechter. As Make.com's AI usage and associated costs surged 8.7 times in the first half of the year, traditional methods like spreadsheets became inadequate, necessitating a unified view of AI spending through Vantage's integration with providers like Anthropic, OpenAI, and AWS Bedrock. They emphasized the importance of consolidating AI bills for visibility, standardizing attribution across different providers to simplify cost management, and focusing on behavior metrics such as aborted requests to assess AI adoption quality. By integrating AI budget insights directly into developers' daily tools like Backstage, Make.com aims to facilitate informed decision-making without hindering AI adoption, underscoring the role of timely data in catching cost spikes promptly. The session highlighted the need for engineering teams to centralize cost data, standardize attribution, and set up immediate alerts to enable better decision-making as AI scales, with future sessions set to explore AI budget management strategies further.

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