The Risk Register You Build Before Rolling Claude Code Out to a Team

Late on a Friday afternoon, a coworker said, “Claude Code is so handy, let’s all start using it next week.”

My stomach dropped. When he used it alone, he reviewed his own branch, merged his own branch, and any accident only hurt him. But a team is a different animal. Who grants permission, how far does the agent get to reach, and who checks the change before it lands? Start six people on Claude Code without answering those questions and you will, sooner or later, watch a change that wipes the production database quietly get merged.

I have actually lived this on another team. Three people each ran Claude Code with their own homemade settings. One of them asked it to “tidy things up nicely,” the shared config file got rewritten, and on Monday morning every deploy failed. Half a day to find the cause. Nobody meant any harm. There just wasn’t a rule for handing work to an agent as a team.

So I built the thing this article is about: a risk register. Calling it a register makes it sound heavy, but it’s a single table. Whether you have one or not decides whether team rollout ends with “this made our lives easier” or “we burned a week cleaning up the mess.”

Key takeaways

• Rollout accidents come not from how smart the model is, but from never deciding “who, how far, and on whose sign-off.”
• A risk register is a table with one row per danger zone: owner, how you prove it’s safe, and the condition for moving forward. Three rows is plenty to start.
• Lock down three things first: permissions (which files the agent may touch), CI (proof the change isn’t broken), and deploy (verifying what reaches production).
• Hand Claude Code the drafting and the running of checks. Deletions, the production DB, anything that costs money, and force pushes always need a human to approve.
• I’ve included a copy-paste register template and a settings snippet that blocks dangerous operations. The trick is to start with a single file.

So what is a risk register, really?

A risk register is a table listing the spots most likely to break when you hand a team’s work to Claude Code.

Each row needs only three columns: where the danger is, what proves it’s safe, and who does the checking. That’s it. No fancy management tool required. A single spreadsheet is fine to start, or honestly even an array inside your code.

Why a table? Because “just be careful” is the most dangerous plan there is. When people are busy they always skip the check. Put it in a table and agree “no merge until this row is filled in,” and you stop accidents even on a rushed Friday evening. The deploy disaster I opened with would have been prevented by a single row marking the shared config file as a “do not touch” zone.

The three danger points to lock down first

Team rollouts almost always break in one of three places. Put these in the register and you prevent nearly every first-day disaster.

1. Permissions (which files the agent may touch)

The most common accident is letting the agent reach too far. Ask Claude Code to “clean up the repo” and it will happily rewrite your config files and your CI definitions too. So decide up front, in writing, which places it may edit and which it must never touch.

My rule is simple. Articles, drafts, and test code are fair game. .github/, production environment variables, deploy settings, and database migrations get “stop until a human checks.” Leave this line to personal taste and the rules diverge person to person, and in the end the loosest person’s settings cause the accident. Agreeing on one shared line for the team is what matters.

2. CI (make it produce proof it isn’t broken)

When Claude Code says “fixed it,” that’s an opinion, not evidence. So write the command that produces proof into the register. The build passes, the tests go green, there are no type errors. Pick one of those and decide it must run before any success is reported.

The key here is keeping the check fast. If the full suite takes ten minutes, nobody runs it. Set things up so you can run only the tests touching the changed files in 30 seconds, and the check becomes a habit.

3. Deploy (always look at the change that reaches production)

For a blog’s revenue page or an API, anything that goes public gets a “did you look at it on the real URL?” record. The build passing and the page users actually see being correct are two different things. Open the production URL and keep one screenshot. Make that a condition for “done.”

A public URL returning 200 but showing a different page is the same as unpublished. A Japanese page with English body text leaking through is also unfinished. It looks obvious, but the busier the day, the more people skip exactly this step.

What to delegate to AI, and what a human decides

When you’re unsure where to draw the line, use this table as-is. The axis is “can you undo it?”

Operation	Delegate to Claude Code	Run only after human approval
Drafting and editing content	✓
Running tests and builds	✓
Explaining the change (diff summary)	✓
Deleting files		✓
Writing to the production database		✓
Operations that incur charges		✓
Force push / rewriting history		✓
Deploying / publishing to production		✓

One rule: anything hard to undo starts as “ask a human.” Promote an operation to automatic only once you’ve confirmed it’s safe. Starting loose and crashing is slower than starting strict and loosening one step at a time.

A copy-paste risk register template

First, before you even ask, turn the instructions you hand Claude Code into a template. Paste this every time and you stop it from quietly expanding scope.

Follow these rules before you start.
- You may only edit inside src/content/ and tests/.
- Do not touch .github/, production environment variables, deploy settings, or DB migrations. If you need to, report why instead of editing.
- After any change, always run `npm run check` and report the result.
- If a deletion, the production DB, a charge, or a force push becomes necessary, stop and ask for confirmation instead of executing.
Before you edit, restate the constraints above in your own words, then begin.

Then the register itself. Three rows is enough to start. Swap in your own team’s danger points.

// Team rollout risk register: one row per danger point -> owner, proof, gate to move forward
type RolloutRisk = {
  area: string;       // the risky area
  risk: string;       // what could go wrong
  owner: string;      // who does the checking
  proof: string;      // what proves it's safe
  nextGate: string;   // the condition to move forward
};

const rolloutRisks: RolloutRisk[] = [
  {
    area: "permissions",
    risk: "Claude Code rewrites shared config too",
    owner: "lead",
    proof: "an editable / off-limits list is documented",
    nextGate: "pilot on a single file first",
  },
  {
    area: "CI",
    risk: "the proof command is slow, or missing",
    owner: "developer",
    proof: "green build, or only the related tests green",
    nextGate: "add the check steps to the PR template",
  },
  {
    area: "deploy",
    risk: "the public change was never verified live",
    owner: "ops",
    proof: "screenshot of the public URL",
    nextGate: "write down the rollback steps",
  },
];

console.table(rolloutRisks);

Save it so it runs under node, execute it, and you get the table printed out. It isn’t flashy, but the value is that you put the danger points into words before you start working. Make it a rule that nothing merges until every row is filled in, and the register becomes the gatekeeper that stops accidents.

Teams where this pays off (three examples)

If one of these is close to your situation, don’t rebuild the register, just swap the names.

1. A small two-person team Before anyone touches shared code, read through the editable spots, the off-limits spots, and the operations that need human approval together, and put them on one page. That alone kills the “one of us broke the settings without the other knowing” accident. The smaller the team, the more they crash on “surely we don’t need to spell it out,” so writing it down first is worth a lot.

2. A team that runs reviews The lead makes “the result of running the proof command” and “a summary of the change” mandatory before any Claude Code change reaches review. No PR without those gets looked at. The goal is to get every change to the point where a reviewer can read the diff, re-run the check, and explain how to roll it back.

3. A team with revenue pages For changes to money-tied pages like a blog or product page, keep a screenshot of the public URL before calling it done. Don’t stop at “the build passed,” look at the screen the user actually sees. Check with your own eyes that the title, body, image, and call-to-action are what you expected.

Common mistakes and how to fix them

Honestly, this register didn’t run smoothly for me at first either. Let me share three screw-ups.

Everyone invented their own rules At first I left settings to each individual, and the editable scope ended up different per person. The person with the loosest settings causes the accident. The fix is simple: unify the editable / off-limits list into one for the team and put it in the repo.

We let CI failures slide Once “I’ll fix it all later” becomes the catchphrase, your first team rollout ends with the bad impression that “installing Claude Code breaks things.” When the proof command fails, stop right there and keep it in draft until it’s green.

We left ownership vague and dodged the hard calls Leave “who approves” undecided and the hardest call, the production push, hangs in the air with nobody on it. Always fill in the owner column of the register. Never move forward with it blank. That one habit alone keeps decisions from stalling.

When the work starts spreading, don’t rewrite the whole request. Tighten in this order: shrink the editable scope, surface the check earlier, and name one person to do the verification. It also matters to keep failures as shared lessons inside the team. Look only at the success stories and you’ll miss the moment you’ve wandered into a dangerous spot yourself.

FAQ

Q. Does a small team even need a register? Even two people need it. If anything, the fewer people, the more you crash by assuming “we both just know.” Three rows of the template is enough to start, so spend five minutes and share it.

Q. Aren’t Claude Code’s permission settings enough on their own? Permission settings are the “don’t let it touch” mechanism; the register is the operating rule for “who checks what.” You need both. Stop it technically with settings, and run the human check with the register. See the permissions guide for details.

Q. Which proof command should I pick? The shortest command that lets your team say “this isn’t broken.” A type check, running only the related tests, or a build, any of those. If the full suite takes ten minutes nobody runs it, so first decide on one that finishes in 30 seconds.

Q. Does this still work if some members aren’t engineers? It does. The register is just a table you read and fill in, so you can run it without reading code. For a non-engineer’s starting point, how non-engineers can use Claude Code is a good reference.

Q. Where do I put project-specific rules? Write them in the repo’s CLAUDE.md and Claude Code reads them every time. Gathering your off-limits areas and proof commands there makes it easy to keep them in sync with the register. How to write one is covered in CLAUDE.md best practices. Also check Anthropic’s official Claude Code documentation as the primary source.

What I found after actually trying it

After the deploy disaster I opened with, I stopped agonizing over “do I trust Claude Code?” What I look at instead is which row of the register is still empty.

When I actually rolled out a three-row register and spelled out the shared config file as a “do not touch” zone, merges that broke the settings dropped to zero. Once I made the proof command “mandatory before reporting success,” we stopped discovering breakage for the first time in review, and rollbacks visibly went down. After I added screenshot verification on public pages, the “the build passed but a different page was live” oversight stopped too.

That’s the only three things I verified. Rather than hunting for a smarter agent, build operations you can recover from when you fall first. It looks like the long way around, but for team rollout this is the fastest path I’ve found.

If you’re at the stage of seriously driving Claude Code adoption at your company and want to design the operating rules together, training and consultation can help you build the concrete steps. Start by writing out three rows of your own team’s danger points.