What is Claude?
Tools, assistants and prompting
Claude is Anthropic's AI assistant and model family. Businesses can use it directly in Claude's own apps or integrate it through Anthropic's platform. What matters in practice is not the name alone, but whether Claude fits the task, the data involved, the approval steps required and the organisation's preferred governance model.
Reviewed by Jackie, Head of Learning & Development, Levellers · Last reviewed 8 June 2026
What this means
Anthropic is the company; Claude is its AI product family. Anthropic presents Claude as AI for problem solvers, and its platform docs show two main developer routes: direct Messages access and Managed Agents. In practice, Claude can appear as a chat-style assistant for staff, a coding and research tool, or a model integrated into a business workflow.
So when someone says "we are using Claude", they may mean the Claude app, a work plan, a coding product, or an API-backed integration. That difference matters because permissions, retention and governance are not identical across consumer, commercial and API use.
Why it matters
Claude matters as a tool choice only when it fits the job to be done. Anthropic's product pages position it across learning, coding, research, analysis and creation, and its Cowork examples show it working with local files and cloud apps under user approval. That makes it relevant for document-heavy teams, analytic work and repeatable knowledge tasks.
The business review point is to separate demonstration quality from operating fit. Anthropic's commercial defaults on training and retention differ from its consumer settings, so organisations should examine the exact environment they will use rather than assuming one privacy rule applies everywhere.
How it works
Anthropic's docs describe Claude access through direct Messages calls, where the customer manages conversation state and tool loops, or through Managed Agents, where Anthropic provides more managed agent infrastructure and persistent event history. The docs also point to capabilities such as extended thinking, vision, tool use, web search, code execution and structured outputs.
For commercial customers, Anthropic says it does not use inputs or outputs from Claude for Work or the Anthropic API to train models by default. Standard API retention is up to 30 days unless a longer-retention feature is used, a different agreement applies, misuse needs investigation, or law requires retention; some APIs and features can be used under zero data retention arrangements.
Examples
Reasonable Claude uses include preparing first drafts from internal documents, checking code and suggesting fixes, comparing versions of policy text, extracting key points from files, or assisting research and analysis before human sign-off. Anthropic's own examples show document study, file organisation and report preparation, as well as coding and data analysis.
Knowledge work: summarise packs, compare drafts and prepare an initial brief for a reviewer.
Coding support: inspect code, identify likely issues and propose fixes inside a controlled review process.
Task delegation: let Claude work with approved files or cloud apps only where the user stays in control of permissions and approvals.
Common misunderstandings
Claude is not the same as Anthropic. Anthropic is the provider; Claude is the product family. It is also not just a single, generic chatbot. Anthropic exposes Claude through different surfaces for staff use, coding support and API integration.
Another common misunderstanding is that Claude has one universal privacy rule. Anthropic distinguishes between consumer Claude and commercial products, and it documents feature-specific retention needs for some APIs and tools.
Risks and boundaries
If Claude will handle personal data, confidential files or significant decisions, check access permissions, retention needs, feature-specific storage behaviour and the points where human review is required. The ICO stresses meaningful human review where appropriate, and NIST's generative-AI profile frames risk management as something that should cover design, deployment, use and evaluation.
For Claude specifically, do not assume zero data retention covers every feature. Anthropic documents that some APIs and features are eligible, while others need storage or follow standard retention rules. That is a workflow-design question as much as a procurement question.
What to do next
Choose one task, one environment and one data class. Decide whether you are testing Claude as a staff assistant, comparing it with ChatGPT, or integrating it through Anthropic's platform. Then document what files or systems it may access, who approves outputs, and what retention and review rules apply before anyone scales usage.
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FAQs
Is Claude the same as Anthropic?
No. Claude is Anthropic's product family. Anthropic is the company that builds and operates it.
Is Claude only a chatbot?
No. Anthropic presents Claude as a product for learning, coding, research, analysis and creation, and its documentation includes direct model access and managed agent routes for developers.
Is business data in Claude used for training?
Anthropic says commercial inputs and outputs are not used for training by default. Consumer Claude has separate settings and conditions, including opt-in model improvement.
Does zero data retention cover every Claude feature?
No. Anthropic documents zero data retention as feature- and arrangement-specific rather than universal across every API and tool.