GenAI for Business: The 2026 Comparison Guide

Every business we talk to is asking some version of the same question: which AI platform should we actually be using? The answer depends on what you already pay for, where your data lives, and how seriously you take compliance. If you’re operating in the UK or EU, that should be very seriously indeed.

We’ve put together a practical comparison of the major generative AI platforms available to businesses right now, covering the things that actually matter when you’re making this decision: data residency, GDPR compliance, integration with your existing Microsoft 365 environment, and what you’ll pay. We’ve also included a couple of European-born alternatives that are worth knowing about.

What it is: AI embedded directly into the Microsoft apps your team already uses: Word, Excel, Outlook, Teams, and SharePoint. It draws on your organisation’s own data (emails, documents, meetings) to generate responses.

EU data residency: Copilot falls within the Microsoft EU Data Boundary for tenants in the EU and EFTA, meaning your data at rest stays within EU borders. However, there are nuances. Microsoft introduced “Flexible Routing” which can temporarily process AI requests outside the EU during peak demand. Admins can control this in the M365 Admin Centre. Additionally, since January 2026, Anthropic (Claude’s parent company) became a sub-processor for Copilot. Anthropic models are currently excluded from the EU Data Boundary. EU tenants have this disabled by default, but it’s worth verifying your settings.

GDPR compliance: Strong. Copilot inherits the same data protection commitments as your existing M365 tenant. Prompts and responses are covered by the same contractual terms as your Exchange emails and SharePoint files. Microsoft holds SOC 2, ISO 27001, and ISO 27701 certifications.

SharePoint integration: Native and deep. This is Copilot’s strongest card. It reads from your SharePoint libraries, respects your existing permissions model, and can surface information across sites. But this is also its biggest risk: if your SharePoint permissions are messy (and whose aren’t?), Copilot will happily surface documents people shouldn’t see. Clean up permissions before you roll out.

Licensing: Copilot costs around £24/user/month as an add-on, but you need a qualifying M365 licence underneath (E3 at ~£30/user/month or E5 at ~£47/user/month). Total cost per user lands between roughly £53 and £70/month. Microsoft is also raising base M365 prices from July 2026. There is no option to buy Copilot for just a few users on cheaper plans; it requires Business Standard or above.

Best for: Organisations already deep in the Microsoft ecosystem who want AI that works with their existing documents, emails, and meetings without any additional setup.

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What it is: OpenAI’s business-grade version of ChatGPT, with admin controls, SSO, analytics, and no training on your data. Sits alongside your existing tools rather than embedding into them.

EU data residency: OpenAI launched European data residency in early 2025 for Enterprise, Edu, and API customers. With it enabled, conversations, uploaded files, and custom GPTs are stored at rest in Europe. However, there’s an important distinction: this covers data at rest only. Inference processing (where the AI actually thinks about your prompt) still happens in the US. For many compliance frameworks this is sufficient, but organisations with strict data sovereignty requirements should be aware of the distinction.

GDPR compliance: OpenAI offers a comprehensive Data Processing Addendum (DPA) and holds SOC 2 Type 2, ISO 27001, ISO 27017, ISO 27018, and ISO 27701 certifications. Enterprise and Team data is not used for model training.

SharePoint integration: Yes. OpenAI launched a SharePoint connector in late 2025 that syncs files from SharePoint Online into ChatGPT. Admins authenticate once and it deploys across the organisation. It respects SharePoint’s existing role-based access controls, and new files or updates typically appear within an hour. Available on Pro, Business, and Enterprise plans.

Licensing: Enterprise pricing is custom and negotiated, but typically falls in the £20-48/user/month range depending on volume. Large deals reportedly include significant discounts. ChatGPT Team (the tier below Enterprise) is around £20/user/month billed annually. It runs independently of your M365 or Google Workspace subscription. No underlying productivity licence is required.

Best for: Organisations that want a powerful, general-purpose AI tool for their team without being locked into a specific productivity ecosystem. Particularly strong for research, analysis, and content generation.

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What it is: Anthropic’s AI assistant, known for strong reasoning, long document analysis, and careful handling of nuanced tasks. Available as Claude Team, Claude Enterprise, and via API.

EU data residency: This is Claude’s biggest gap for EU organisations right now. Anthropic’s own infrastructure is US-based, and the direct Claude Team/Enterprise products don’t currently offer EU data residency. However, there’s a workaround: Claude models are available in EU regions through AWS Bedrock (e.g., Frankfurt) and Google Vertex AI (10 EU regions), both of which provide genuine in-region processing with data residency guarantees. If your organisation needs EU data residency and wants to use Claude, the API-via-hyperscaler route is the path.

GDPR compliance: Anthropic offers a DPA and does not train on Enterprise/Team customer data. The company has published a GDPR compliance guide and Privacy Centre. When accessed through AWS Bedrock or Vertex AI, you inherit those platforms’ compliance certifications too.

SharePoint integration: Yes. As of April 2026, Anthropic’s Microsoft 365 Connector is available across all Claude plans, including the free tier. It provides read-only access to SharePoint, OneDrive, Outlook, Teams, and Calendar through user-delegated permissions. This is built on Anthropic’s Model Context Protocol (MCP), an open-source standard. It’s newer than Copilot’s native integration and ChatGPT’s connector, but functional.

Licensing: Claude Team is around £20-24/user/month. Enterprise pricing is custom. API pricing via Bedrock or Vertex AI is usage-based rather than per-seat, which can be more cost-effective for organisations with variable usage patterns.

Best for: Organisations that value depth of reasoning and long-document analysis. Claude is particularly strong at working through complex, ambiguous problems: legal review, policy analysis, detailed research. The M365 connector makes it increasingly viable as a daily driver alongside your Microsoft stack.

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What it is: Google’s AI assistant, integrated into Workspace apps (Gmail, Docs, Sheets, Meet, Drive). Functions similarly to Copilot but within the Google ecosystem.

EU data residency: Gemini features in Workspace now adhere to organisations’ data regionalisation settings. Enterprise and select Team plans can configure storage within dedicated EU regions. Admins have granular control down to the organisational unit (OU) level and can configure EU-only processing. Through Vertex AI (e.g., Netherlands region europe-west4), you can also run Gemini models with full data residency compliance. Note: free and Pro consumer tiers cannot enable data residency.

GDPR compliance: Strong. Gemini’s compliance coverage expanded significantly in 2025, adding ISO 42001 (AI management systems), HITRUST, and PCI-DSS v4.0 to its existing certifications. Google publishes a dedicated Workspace Privacy Hub with detailed controls for data governance and a DPIA support guide for Workspace with Gemini.

SharePoint integration: Limited. Gemini integrates natively with Google Drive, not SharePoint. If your organisation is on Google Workspace, this is a non-issue. If you’re a Microsoft shop, Gemini isn’t going to connect to your document libraries without third-party middleware.

Licensing: This is Gemini’s strongest selling point. Workspace Business Standard at around £11/user/month includes Gemini in all apps, making it the cheapest entry point for organisation-wide AI access. Gemini Business add-on is around £19/user/month; Gemini Enterprise is around £29/user/month. If you’re already paying for Workspace, the incremental cost of AI is minimal.

Best for: Organisations already on Google Workspace. The pricing is compelling and the integration is seamless within the Google ecosystem. Less relevant for Microsoft-centric businesses.

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Mistral is the most significant European challenger to the US-based AI giants. Founded in Paris in 2023, the company has grown rapidly and counts BNP Paribas, Orange, and CMA CGM among its enterprise customers.

Why it matters for EU businesses: Mistral offers something none of the Big Four can match: data processing that stays entirely within European borders by default, with options for private cloud or on-premises deployment. For organisations in regulated sectors (finance, healthcare, public sector) where data sovereignty isn’t negotiable, this is a genuine differentiator.

Le Chat’s enterprise version integrates with SharePoint, Google Drive, and OneDrive for document-based querying. The platform also includes AI agent builders for custom workflows. Team plans start at around £16-20/user/month with annual billing and include the SharePoint and Drive connectors. Enterprise pricing is custom.

Mistral reportedly tripled its revenue within 100 days of launching the enterprise version, which suggests the market for a European-first AI platform is real.

Best for: EU-regulated industries that need guaranteed European data sovereignty without routing through US hyperscalers. Also worth considering if your organisation has strong views on supporting European technology.

Aleph Alpha is the quieter of the two, but potentially more interesting for organisations with strict sovereignty requirements. Based in Heidelberg, the company raised around £400 million in 2023 and has since pivoted from building a general-purpose chatbot to creating what it calls a “generative AI operating system” called Pharia.

Why it matters: Aleph Alpha is focused on on-premises and sovereign cloud deployment, targeting government, defence, and highly regulated industries. Its T-Free architecture (introduced in 2025) eliminates the traditional tokenisation step, reportedly cutting compute costs by up to 70%. The company is also in merger discussions with Canada’s Cohere, which could create a significant transatlantic AI player with European data sovereignty credentials.

Aleph Alpha doesn’t compete on the consumer chatbot level. You won’t be asking it to draft emails. It’s designed for enterprises that need to run AI models inside their own infrastructure, under their own control, with full compliance auditability.

Best for: Government, defence, and heavily regulated organisations that need to run AI models entirely within their own infrastructure. Overkill for most SMBs, but worth knowing about if sovereignty is your top requirement.

Some businesses worry about the US CLOUD Act, which allows US authorities to request data from US-headquartered companies regardless of where that data is physically stored. It’s a legitimate concern, and the tension between the CLOUD Act and GDPR Article 48 is real. However, it’s important to keep this in perspective. The EU-US Data Privacy Framework, adopted in 2023, provides a lawful basis for transatlantic data transfers, and in September 2025 the European General Court upheld the framework against a legal challenge, confirming that the US provides an adequate level of protection.

Meanwhile, providers like Microsoft and Google have committed to the EU Cloud Code of Conduct (approved by the EDPB) and contractually commit to challenging overbroad government access requests. The EU Data Act, which began applying in September 2025, also now requires cloud providers operating in the EU to implement measures preventing unlawful non-EU government access. In practice, using US-headquartered cloud platforms remains lawful and widely accepted across European business, the public sector included. But if your organisation operates in a highly regulated sector, or you simply want to remove the question entirely, European-native platforms like Mistral offer a clean alternative.

The honest answer is that no single platform wins across every dimension. The right choice depends on three things: what productivity suite you already run, how strict your data residency requirements are, and what you’re willing to spend.

If you’re a Microsoft 365 shop (which most of our clients are), your realistic options are Copilot, ChatGPT Enterprise, or Claude. All three now integrate with SharePoint, and the choice comes down to whether you want AI embedded in your apps (Copilot), a powerful standalone tool (ChatGPT), or deep reasoning and analysis (Claude). Increasingly, forward-thinking organisations are using more than one.

If EU data residency is non-negotiable, Copilot and Gemini offer the most mature in-region processing. ChatGPT covers data at rest but not inference. Claude requires routing through Bedrock or Vertex AI. Mistral is the cleanest European-native option.

If cost is the primary driver, Gemini within Workspace is the cheapest way to get AI into every seat. Copilot is the most expensive when you factor in the underlying M365 licence.

Choosing the platform is only the first decision. Configuring it properly is where the real work happens: making sure your SharePoint permissions are clean, your data governance is solid, your team knows how to use it effectively, and your compliance obligations are met.

That’s what we do. Whether you’re rolling out Copilot across your M365 tenant, evaluating ChatGPT Enterprise for your team, or trying to figure out whether a European platform makes more sense for your compliance posture, we can help you make the right call and get it set up properly.

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Sources and further reading:

• OpenAI: Introducing Data Residency in Europe
• Microsoft: Data, Privacy, and Security for M365 Copilot
• Microsoft: In-Country Data Processing for M365 Copilot
• Google: Data Regions Support for Gemini in Workspace
• Anthropic Privacy Centre
• Claude Microsoft 365 Connector
• OpenAI SharePoint Connector
• Mistral AI Enterprise
• IntuitionLabs: 2026 Enterprise AI Guide
• Anthropic as Subprocessor for Microsoft