Claude Readiness Assessment: 6 Checks Before Your 2027 Rollout

Before expanding Claude or Claude Code, test one real workflow against six questions. A readiness assessment should leave you with an owner, evidence and a next action for every gap. It is a planning tool, not a badge that declares the organization safe.

The six checks

Pick a pilot that matters, then answer Yes, Partly or No in each area. Ask to see the evidence behind every Yes.

Hold one evidence session with the workflow owner, security lead and platform owner. Bring the real data route, one representative task and the current approval path. If a control exists only in a policy document, ask someone to demonstrate it in the pilot environment. Record what you saw, the date and who can reproduce it. This keeps a confident Yes from hiding an untested assumption.

1. Data. Can approved users reach the right information without copying sensitive material into an unmanaged workspace? Evidence: a source inventory, data classes and access owners.
2. Use case. Is the task narrow enough to evaluate, with an owner and a baseline? Evidence: a one-page charter naming the user, workflow, current result and target.
3. Platform. Have you chosen the Claude app, API or cloud route for this workload and checked its required controls? Evidence: an architecture sketch and a documented route decision.
4. Security. Are retention, permissions, review and incident responsibilities agreed before real data or code is used? Evidence: a signed data-handling decision and enforced settings.
5. Evaluation. Can you detect a worse answer or a higher cost after a model or prompt change? Evidence: representative test tasks, pass thresholds and a run history.
6. Team. Can people beyond the first enthusiast use and support the workflow? Evidence: a champion, role-based training and an escalation path.

Score the gap, then decide

Give Yes two points, Partly one and No zero. The six answers total 12 points; divide by 12 and multiply by 100 for a directional score. Five Yes answers and one No yield 83, but the No may still block launch. Read the weakest area before the average.

The Yes/Partly/No total is a quick screening score. The graphic uses separate illustrative 0–100 scores for each area to show how gaps can differ.

Illustrative scorecard

The scorecard shows today against target in each area

Rings mark 25, 50, 75 and 100. The gap between the two shapes is the work to plan.

255075100 1Data readiness2Use case clarity3Platform review4Security and governance5Evaluation maturity6Team and skills

• Illustrative today
• Illustrative target

1. 1Data readiness 60 to 88
2. 2Use case clarity 47 to 82
3. 3Platform review 70 to 90
4. 4Security and governance 42 to 86
5. 5Evaluation maturity 56 to 80
6. 6Team and skillsWeakest 36 to 78

For each Partly or No, record the missing proof, its owner and the decision date. A useful scorecard ends with a go, hold or redesign call for one pilot, not a generic maturity label. Our two-minute Claude self-check is a starting point; an evidence review goes deeper.

The graphic is an example, not an assessment of your team. It shows why a strong platform score can coexist with a weak team score. Agree on a target for the chosen workflow before collecting today scores, then compare the evidence behind each gap. A target is useful only when an owner can name the control, test or training that would close it. Revisit the same six areas after the pilot instead of changing the rubric to flatter the result.

Put Claude Code inside the review path

Claude Code can read files, run commands and propose edits. Start with one repository that has an owner, runnable tests and review rules. Keep the project instructions short and make verification commands explicit. Decide who can grant permissions, what the agent may access and which changes require human approval; Anthropic documents the administrative controls.

Make the first repository a contained trial: use a branch, identify files or commands that need approval and keep a human responsible for the merge. Check whether the proposed change solves the task, whether tests exercise the changed behavior and whether access stayed within the agreed boundary. If the agent cannot finish, capture the failure as an evaluation case. That is more useful than silently taking over and counting the task as an automated success.

Review the diff, test the result and log exceptions before expanding to another repository. Treat an agent-generated patch as a proposed change with an accountable reviewer.

A lighter 2027 rollout plan

1. Assess: choose one workflow, score the six areas and resolve any blocking data or security decision.
2. Pilot: set a pass threshold, run representative tasks and compare quality, time and cost with the baseline.
3. Expand: open the next team or repository only when the evidence and support path travel with it.

Before expansion, write down the pilot exit rule. Name the quality threshold, acceptable review effort, cost ceiling and person who can pause the rollout. Keep the baseline and the evaluated tasks with the decision so a later team can repeat the comparison. If results improve but reviewers spend more time correcting mistakes, change the workflow before buying more access. If a data or security control remains unproven, hold that use case even when other areas score well.

Review outcomes and spend monthly. Re-run evaluations when a model, prompt or access path changes; Anthropic's agent evaluation guide explains why representative tasks matter. Check the current model deprecation list before locking a 2027 plan. The calendar is a review cadence, not a forecast of future releases.