Chapter 6: Build your operating plan
Assign owners. Choose your first change. Set a review date.
- Decide what belongs behind shared enforcement and what stays a recorded telemetry gap.
- Identify the policies working against you, from usage leaderboards to per-tool budgets with no total.
- Audit your setup against sixteen operational checks and assign an owner to each of the next three months.
- Leave with one measurable change, an owner, a success condition, and a review date.
Make the controls someone’s responsibility
You now have the pieces. The last job is to make them someone’s responsibility, because an unowned dashboard and an unwritten exception process will not survive the next expensive month.
Put shared controls in one place
An AI gateway is a service that sits between your coding tools and the model providers. For tools that support it, the gateway applies shared identity, model access rules, and spend controls in one place. It is useful infrastructure, and it is also where Databricks and Coinbase put their routing and budgets. It is not a prerequisite for learning where your money goes.
Start by combining each tool’s usage export under consistent user and team identities. Move compatible traffic behind shared enforcement as you need it. Some tools bill separately or expose limited telemetry, so record those gaps instead of claiming one gateway sees everything. And do not expect to negotiate your way out: there is almost no volume discount on consumption pricing.
A gateway sees requests. Your issue tracker and your repository see delivery. Join the two before you evaluate outcomes. And restrict access to session traces with a defined retention window, because traces contain proprietary source code and sensitive task context.
Spot the policies working against you
Tick the traps you recognize. They feed your scorecard, and they are diagnostic prompts, not a ranking of your team.
- Usage leaderboards. Rewarding tokens consumed rewards the wrong thing.
- One monthly cap doing two jobs. Too small to permit normal work or too large to catch a runaway afternoon. See the budget policy.
- Permanent limit increases. One expensive project becomes a lifetime entitlement. Time-box every raise.
- Suspension as the first response. Cutting a developer off on the 24th interrupts work and produces exceptions. Downshift first.
- Public benchmarks as the adoption decision. They don’t predict your codebase. Build the eval.
- Per-call optimization. Per-call savings that raise per-task cost are losses.
- Seat-based budgeting. Seat count misses how much work each agent performs. Separate fixed fees from variable consumption.
- Token totals as the board metric. They say what the tool charged, not what it bought.
- Annual commitment before measurement. Collect a representative usage baseline before locking in a large commitment.
- Per-tool budgets with no total. Controls each bill, not the sum, and pushes engineers toward whichever tool has headroom.
Nothing ticked yet.
Check what is actually in place
The exercises tested your understanding. These sixteen checks test your operating setup. Tick only what you can point to today. A strong quiz score does not mean the infrastructure exists yet.
Tap the items above to see where you stand.
Make the next 90 days concrete
| When | Owner | Deliverable |
|---|---|---|
| Days 1–30 | Engineering platform lead + finance partner | Combine usage data. Trace a sample of tasks. Agree on an acceptance bar and a baseline. |
| Days 31–60 | Team lead + platform owner | Pilot a routing rule and daily/monthly controls. Test the exception path. Publish the results. |
| Days 61–90 | Engineering leader + finance partner | Review cost with quality and delivery. Keep successful changes. Roll back failures. Set the next budget envelope. |
Run the first model evaluation during the baseline period. Do not spend two months installing controls before you ask whether the default model is good value. And sign the annual contract after the 60 to 90 day baseline, not before. It is the cheapest insurance in this guide.
Leave with a decision, not another bookmark.
Choose one measurable change. Your plan saves in this browser and comes along when you copy your scorecard. Nothing is emailed anywhere.
Stored on this device.
The decision you should be able to make
Pick one expensive workflow. Explain what it costs, what it delivers, and what you would change next. Then show how a team can get extra capacity for valuable work without inheriting a permanent blank check.
That is the whole job. Keep useful work moving. Make waste visible. Give every improvement a test and an owner.
Key terms
- AI gateway
- A service between your coding tools and the model providers that applies shared identity, model access rules, and spend controls in one place.
- Usage leaderboard
- A ranking of engineers by tokens consumed. It rewards the wrong thing and is listed here as a trap, not a practice.
- Seat-based budgeting
- Budgeting by seat count, which misses how much work each agent actually performs.
- Usage baseline
- A representative period of measured consumption, collected before you commit to a large annual contract.
Further reading
- DatabricksHow Databricks manages its own coding agent spend with Unity AI Gateway budgets
What shared enforcement looks like once routing and budgets live in one place.
- Hacker NewsDiscussion on consumption pricing and volume discounts
Practitioners on why there is almost no discount to negotiate.
What’s Next
You have finished all six chapters. Your exercises, calculator settings, and operating plan are saved in this browser.
