What Is Claude? Anthropic's AI Model Explained for Business Leaders

Anthropic was founded by Dario Amodei, Daniela Amodei, and others who left OpenAI with a specific focus on AI safety research. The company's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity.

This origin shapes Claude in meaningful ways. Anthropic has invested heavily in safety research, including the development of Constitutional AI, a technique for making AI systems more aligned with human values and less likely to produce harmful outputs. Claude's training reflects this emphasis: it tends to be more careful, more willing to acknowledge uncertainty, and more consistent in refusing genuinely harmful requests.

For enterprise customers, Anthropic's safety focus has practical implications. Claude is less likely to produce outputs that create legal, reputational, or ethical exposure, and more likely to flag uncertainty rather than confidently stating incorrect information.

Claude has several characteristics that distinguish it from other leading models.

Context window: Claude has one of the largest context windows available in a commercial model. Claude 3.5 and later versions can process up to 200,000 tokens in a single interaction, equivalent to roughly 150,000 words or a full-length novel. This makes it particularly valuable for tasks involving large documents: legal contracts, board papers, annual reports, lengthy technical specifications.

Writing quality: Claude is widely regarded as producing particularly fluent, well-structured prose. For executives using AI to draft communications, reports, or strategy documents, many practitioners find Claude's output requires less editing than equivalent models.

Instructability: Claude tends to follow complex, nuanced instructions carefully. This matters for business use cases where specific formatting, tone, constraints, or style requirements need to be followed consistently.

Claude is available directly through Anthropic's API and through Amazon Web Services via Amazon Bedrock. AWS provides Claude to enterprise customers with data residency options, security controls, and the enterprise procurement relationships that large organisations require.

For UK enterprises, Claude is subject to Anthropic's published privacy policies and data processing terms. Anthropic has committed that customer data submitted via the API is not used to train Claude models by default, a key requirement for enterprises handling confidential or personal data.

Claude is not yet deeply integrated into a productivity suite the way Copilot is integrated into Microsoft 365. This means accessing Claude requires a deliberate choice to use the Claude interface, API, or an application built on the Claude API, rather than having it available within existing workflows. This is a genuine differentiator for Microsoft Copilot in enterprise adoption.

Claude is worth considering for use cases involving large documents, where its extended context window provides a genuine advantage over competitors. Legal, financial, or compliance teams dealing with lengthy documents will find Claude particularly capable.

Claude is also worth considering for use cases where writing quality is a high priority and where safety and reliability of outputs matter. Organisations that have had issues with other models generating inappropriate, confidently incorrect, or legally risky content often find Claude's more cautious approach preferable.

For organisations already deeply embedded in the Microsoft ecosystem, adding Claude alongside Copilot creates a multi-model capability that allows teams to use the best model for each task type.