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What is Claude AI?

What Claude is, how Anthropic's safety-first design differs, where it outperforms in business use, the enterprise options available, and how it fits alongside Copilot and ChatGPT.

7 minute read · Written by the Fresh Mango AI team

What is Claude AI?

Definition

Claude is a family of large language models and an AI assistant built by Anthropic, an AI safety company founded in 2021. Claude is designed around a training approach Anthropic calls Constitutional AI, which uses an explicit set of written principles to guide the model's behaviour. It is widely used in business for long-document analysis, careful drafting, coding and agentic workflows.

Key points

  • Claude is built by Anthropic with an explicit safety and interpretability focus.
  • Very large context windows make it strong for contracts, tenders, policy sets and research packs.
  • Claude for Work and the API provide business-grade data handling and administration.
  • Many organisations run Claude alongside Copilot rather than instead of it.

Anthropic and the safety-first design

Anthropic was founded in 2021 by a group of former OpenAI researchers with a stated mission focused on AI safety and reliability. Its models are trained using Constitutional AI, in which the model is guided by an explicit written set of principles — drawn from sources including the UN Declaration of Human Rights and platform trust and safety guidance — rather than relying solely on human preference labelling. Anthropic also publishes a Responsible Scaling Policy that ties capability releases to defined safety evaluations.

For a corporate buyer this matters in a specific, practical way. Claude tends to be more conservative about speculative claims, more willing to flag uncertainty, and more consistent when handling sensitive or ambiguous material. In regulated environments — legal, financial services, healthcare — that behaviour is generally an asset rather than a limitation.

Where Claude performs particularly well

Long-document work

Large context windows allow whole contracts, tender packs, board papers or policy libraries to be analysed in one pass, with cross-references maintained across the document.

Careful drafting and editing

Nuanced rewriting that preserves meaning and register — useful for legal correspondence, regulatory submissions and technical documentation.

Structured extraction

Reliably pulling defined fields, clauses, obligations or dates out of unstructured documents into a consistent schema.

Software engineering

Claude models are widely used for code generation, refactoring and review, including within agentic developer tooling.

Tool use and agents

Strong support for calling external tools and running multi-step tasks, which underpins many custom agent deployments.

Using Claude in a business

Claude is available as a consumer subscription, as Claude for Work team and enterprise plans with administrative controls and SSO, through the Anthropic API, and through cloud marketplaces including Amazon Bedrock and Google Cloud Vertex AI. Anthropic states that business inputs and outputs are not used to train its models by default, and enterprise plans add the audit and identity controls that compliance teams expect. For organisations with data residency requirements, running Claude through a cloud provider's managed service is often the cleanest route.

Where we deploy Claude for clients it is most often inside a bespoke workflow rather than as a general chat tool: a clause-comparison assistant for a legal team, a grant-application analyser for a charity, an obligations register builder for a compliance function. That work sits within our Custom AI Agent / Assistant Project service.

Claude, Copilot or ChatGPT?

Treat these as complementary rather than competing. Microsoft 365 Copilot wins where the requirement is permissioned access to the organisation's own Microsoft content inside the apps people already use. ChatGPT wins on breadth of general-purpose content production and the maturity of its custom assistant ecosystem. Claude wins on long-document rigour, careful language and agentic reliability. A sensible enterprise position is one primary in-suite assistant plus one specialist platform for the workloads where it demonstrably performs better, all covered by a single usage policy.

Sources and further reading

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FAQs

What is Claude AI — frequently asked questions

Who owns Claude?

Claude is developed by Anthropic, an AI safety and research company founded in 2021 and headquartered in San Francisco, with significant investment from Amazon and Google among others.

What is Constitutional AI?

A training method in which the model is guided by an explicit written set of principles, using AI feedback against those principles to shape behaviour rather than relying only on human preference ratings. It is intended to make model behaviour more predictable and easier to audit.

Does Anthropic train on business data?

Anthropic states that inputs and outputs from commercial and API usage are not used to train its models by default. Confirm the current terms applicable to your plan before processing regulated data.

Is Claude better than ChatGPT?

Neither is universally better and rankings change with each release. Claude is often preferred for long-document analysis, careful drafting and agentic coding; ChatGPT for breadth of general content production and its custom assistant ecosystem. Choose per workload.

Can Claude connect to our internal systems?

Yes, through the API and tool-use capabilities, typically with a scoped integration layer that enforces authentication and permissions. This is a build activity and should be designed with the same controls as any other system integration.

Decision brief

Turning this into a decision for your business

Straight answers to the five questions that decide whether an AI project is worth starting.

Why should I trust Fresh Mango AI?

Fresh Mango AI is the artificial intelligence practice of Fresh Mango Technologies, an IT, cyber security and cloud provider that has supported businesses since 2004 from offices in Ripon, Leeds, Skipton and Tortola in the British Virgin Islands. The same engineers who secure your identity, data and Microsoft 365 tenant advise on your AI adoption, so recommendations are grounded in what your estate can actually support rather than in vendor marketing.

What business outcomes will I achieve?

Clients typically release several hours per person per week on drafting, summarising, searching and reporting, shorten document and approval cycle times, and remove manual re-keying between systems. Every engagement starts by baselining the work involved so that the benefit is measured in hours released and cycle time reduced, not in licences purchased.

What are the risks if I do nothing?

Doing nothing is not a neutral position. Staff adopt consumer AI tools on their own, so company and client data leaves your control without record; competitors compress the cost of proposals, reporting and service delivery; and permission sprawl inside your file estate remains unaddressed, which becomes an incident the moment AI search is switched on. Delay also compounds the UK GDPR and EU AI Act governance work that will eventually be required of you anyway.

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You book a free 30-minute discovery session. We ask about your objectives, systems and constraints, tell you honestly whether AI is the right answer, and set out a recommended first step — usually an AI Productivity & Readiness Assessment or an AI Governance & Security Project. You receive a written summary and a proposal only if there is a clear case for one.

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