Governance for AI-assisted engineering: spend you can cap, usage you can shape, and an audit trail you can hand to finance. Here's what's live, what's next, and what we're building toward.
At the cap, requests fall back to a cheaper model instead of stopping, so work continues and spend doesn't.
PII masking, secret redaction and prompt-injection blocking, surfaced as an audit trail for compliance.
Keep confidential prompts on models you host, automatically, without the team changing how they work.
Directional, not a delivery commitment. Priorities shift as we learn from the teams using EngLedger.
Meter your AI spend and see it attributed to work today. The governance controls land on top of the same data.
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