Guides·Spend

AI spend and governance

AI is the fastest-growing line item in the engineering budget and the least instrumented. These guides cover the plans, the controls, and the arithmetic for keeping it accountable.

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Every guide in this cluster

AI spend management: the four controls that actually hold Usage-based, per-token, invisible until the invoice. Four controls fix it, and only one of them is a hard limit. 9 min How to reduce AI costs for work: nine levers, ranked by what they save Nine levers with the arithmetic attached, ordered by what they actually save rather than by how easy they are to write about. 9 min LLM observability: what to instrument when the workload is an agent Four signals APM never had to carry, one semantic convention that is still marked Development, and an honest read on the tools. 6 min Enterprise AI governance for coding tools: the controls, not the framework Seven controls you can actually deploy, the file paths that enforce them, and an honest read on how much of the AI Act applies to a coding agent. 7 min AI usage policy for engineering teams: a template you can actually ship Nine clauses, each mapped to the technical control that enforces it, plus the whole thing as a copyable template. 8 min BYOK for AI coding: when your own API key beats a subscription The break-even is about eighteen working days a month. Everything else about BYOK is control, not cost. 6 min AI cost allocation: getting token spend onto the right team Tokens carry no tags. Here are the four dimensions you can actually attribute on, and what breaks each one. 7 min AI seat management: provisioning, idle seats, and the offboarding gap The lifecycle in five stages, the API call that finds dormant seats, and the tokens that outlive the seat you revoked. 6 min Claude Enterprise pricing: what a seat costs and what it buys The published $20 seat price, the metered usage sitting behind it, and the arithmetic against a Team Premium seat. 9 min ChatGPT Enterprise pricing: what OpenAI publishes, and what it will not The prices OpenAI does publish, the one it does not, and the arithmetic for buying Business plus credits instead. 8 min GitHub Copilot Enterprise pricing: $39 a seat, and what the extra $20 buys Both organization seat prices, the AI credits behind them, and the seat-management arithmetic that decides your real bill. 7 min Claude Code for enterprise: policy, permissions, audit, and spend The five decisions an admin makes before the first developer runs the CLI, with the exact settings keys for each. 10 min T3 Code for teams: what it covers, and what you have to cover yourself Nine things a team needs from an agent control plane, where each one lives in T3 Code, and the order they break in once you pass about eight engineers. 15 min T3 Code enterprise alternative: an agent control plane with governance A procurement-shaped comparison of governed agent control planes, scored on the ten rows a security and finance review actually asks about. 10 min Coding agent control plane for teams: a team-readiness comparison Six readiness axes, four control planes, and a scoring method that ignores everything about agent quality so the org question can be answered on its own. 7 min Cursor Enterprise pricing: what a seat costs above $40 The published numbers, the surcharge that appears the moment you leave individual plans, and what pooled usage is actually worth. 8 min Cursor for teams: what $40 a seat actually buys The admin surface as it actually behaves, the four things it will not do, and a rollout order that survives the first renewal. 8 min Devin enterprise pricing: what an ACU contract looks like A contracted unit with no public price, a self-serve ladder that anchors it, and the org controls that are genuinely good. 8 min
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