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Claude for business teams
Claude Enterprise training
Claude Enterprise training prepares teams to use Claude on a Team or Enterprise plan, where shared projects, organisation knowledge and admin controls change how the tool is used.
predeploy teaches it on your own tasks, your data rules and the way your organisation has configured Claude.
Get role-based Claude sessions covering projects, shared knowledge, data handling and output checking for your organisation.
BBC reporting describes the UK rollout of workplace AI courses. BBC: workplace AI training ↗
For Team and Enterprise plans the customer is the data controller and Anthropic acts as processor. Claude Help Center: does Anthropic act as a data processor or controller? ↗
New to the topic? Read the background on artificial intelligence.
Claude for business teams
how is Claude Enterprise training different from general Claude training?
It covers organisation features and organisation rules.
Individual Claude training focuses on prompting and personal productivity; see Claude AI training.
Claude for business teams adds shared projects, organisation knowledge and administrative controls, which need their own guidance.
Training also covers who may share what with whom inside Claude, because shared projects can spread information quickly.
Shared projects.
Organisation knowledge.
Sharing rules.
Claude for business teams
what do teams need to know about Claude and data?
Claude Enterprise training explains who controls the data, what is used for training and what your rules allow.
For Team and Enterprise plans, the customer is the data controller and Anthropic acts as processor.
Anthropic states that by default it does not use inputs or outputs from its commercial products to train its models.
Your own rules on personal and confidential information still decide what staff may enter, so training should teach those rules explicitly.
Claude for business teams
what does a Claude Enterprise session cover?
A Claude Enterprise training session covers projects, documents, analysis and checking, by role.
Sessions show how to set up a project with the right instructions and reference documents for a recurring task.
People practise drafting, summarising and analysing on anonymised examples of their own work.
Every exercise includes checking the output against the source material.
| Check | What to establish |
|---|---|
| 1 | Project setup. |
| 2 | Role-based practice. |
| 3 | Source checking. |
Claude for business teams
who should be trained first?
Claude Enterprise training should reach project owners first, then the teams who use their projects.
Project owners decide which documents and instructions a shared project uses, so they need training first.
Users then learn to work within those projects and to report problems.
Developers using Claude Code need separate technical training; see Claude Code training.
Claude for business teams
how is Claude Enterprise training delivered?
In role groups with follow-up, on site or remote.
Groups are organised by role so examples stay relevant.
Follow-up sessions address issues found in real use, such as projects that drift or outputs that need closer checking.
Anthropic publishes free courses on using and building with Claude, which can complement team sessions; contact predeploy to plan yours.
Role groups.
Follow-up sessions.
Free Anthropic courses alongside.
Claude for business teams
how should shared Claude projects be governed?
Claude Enterprise training teaches owners to govern shared projects with approved documents and periodic review.
Every shared project should have an owner who decides which instructions and reference documents it uses.
Reference documents should be current, approved and free of information the project's users should not see.
Owners should review projects periodically and retire those no longer used.
These rules belong in your wider AI policy; an AI policy template is a starting point.
Named project owners.
Approved documents only.
Periodic review.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to claude enterprise training and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing claude enterprise training.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai training service or read the ai training for business overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
BBC reporting describes the UK rollout of workplace AI courses. BBC: workplace AI training ↗
For Team and Enterprise plans the customer is the data controller and Anthropic acts as processor. Claude Help Center: does Anthropic act as a data processor or controller? ↗
Anthropic states that by default it does not use inputs or outputs from its commercial products to train its models. Anthropic Privacy Center: is my data used for model training? ↗
Anthropic publishes free courses on using and building with Claude. Claude Academy (Anthropic) ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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