Ideas
Dev toolsaimonitoring

LLM audit trail service

Create a proxy that logs all LLM API interactions with metadata. Give teams visibility into AI usage across their stack.

Why now

As companies build on LLMs, they're flying blind about how these models are actually being used in production.

Who for
Engineering teams using LLMs
Business model
Usage-based pricing
Effort
A few weeks

Engineering teams lack visibility into which departments/features are using LLMs, how often, and with what prompts/results.

Build a lightweight proxy that sits between apps and LLM APIs, recording requests/responses with contextual metadata.

Charge based on logged request volume, targeting tech leads needing governance.

Start with OpenAI API logging and basic analytics.

Risk: Performance overhead may deter adoption.

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LLM audit trail service — Ideas