ChatGPT Enterprise Alternatives: Best AI Platforms for Business (2026)

TL;DR

In a hurry? Here are the top ChatGPT Enterprise alternatives to keep top of mind:

• Dust — Best for specialized AI agents connected to company data ($29/user/month)
• Microsoft 365 Copilot— Best for Microsoft-centric organizations ($18-30/user/month)
• Google Gemini for Workspace — Best for Google Workspace teams ($14/user/month for Business Standard)
• Anthropic Claude Enterprise — Best for coding and long-context work (custom pricing)
• Perplexity Enterprise — Best for research-focused teams ($34/user/month)
• Amazon Q Business — Best for AWS-heavy engineering organizations ($20/user/month)

What is ChatGPT Enterprise?

Why teams evaluate ChatGPT Enterprise alternatives

• Single-model dependency creates risk. OpenAI-only access means no Claude for coding, no Gemini for Google integration, and vulnerability to one vendor's roadmap.
• Limited company data integration. ChatGPT Enterprise has synced connectors for GitHub, Google Drive, SharePoint, Notion, and a few other tools, but most connections are read-only. It lacks deep connectors for critical business systems like Salesforce, Zendesk, Snowflake, Confluence, Gong, and BigQuery. Teams often need to manually upload context instead of working with live, continuously synced company knowledge across all their tools.
• Enterprise Key Management (EKM) disables synced connectors. If your organization enables EKM for security compliance, synced connectors become unavailable, forcing manual data uploads.
• No specialized agents or workflows. While GPTs offer customization, teams can't build multi-step workflows, trigger automations, or create department-specific agents that execute actions across systems.
• Generic capabilities for all teams. Marketing, sales, engineering, and support need different tools. ChatGPT's general-purpose design doesn't optimize for specialized use cases.
• Cost and transparency concerns. Enterprise pricing isn't public, and teams report unpredictable costs as usage scales across organizations.

Quick comparison: ChatGPT Enterprise alternatives at a glance

1. Dust — Best for specialized AI agents connected to company knowledge

Dust Pros:

• Model-agnostic prevents vendor lock-in. Access GPT-5.2, Claude Opus 4.6, Gemini 3 Pro, Mistral. Switch models per agent without rewriting logic.
• Build department-specific agents in minutes. No-code interface lets marketing, sales, ops create agents without engineering help.
• Team collaboration that scales. Dust agents are shared across your team. When one person improves an agent's instructions or adds a data source, everyone benefits. This creates compounding knowledge that scales.
• Agents execute actions across systems. Create Jira tickets, update Salesforce, send emails, query data warehouses via MCP protocol.
• Works where your team already works. Slack, Teams, Chrome extension, Zendesk, web interface.
• Interactive visualizations, not just text. Agents create Frames—live dashboards, comparison tables, and data views that update automatically.
• Proven adoption rates beat industry standards. Customers report 70-90% team usage vs. 20-40% typical for enterprise AI.
• Natural language database querying. Ask questions of Snowflake/BigQuery in plain English.
• Open API for custom integartions. Extend beyond 50+ native connectors by building your own integrations and workflows.
• Enterprise security without compromise. SOC 2 Type II, GDPR, HIPAA-ready, zero training on customer data.

Dust Cons:

• Requires onboarding to understand agent concepts. Not as immediately intuitive as a simple chat interface.
• Cloud-only platform. No self-hosting option for on-premises requirements.
• Newer platform. Less brand recognition than established vendors like Microsoft or Google.

2. Microsoft 365 Copilot — Best for Microsoft ecosystem teams

Microsoft 365 Copilot Pros:

• Seamless productivity within existing apps. No context-switching for Microsoft-native teams. AI assistance embedded in Word, Excel, PowerPoint, Outlook, Teams, OneNote.
• Enterprise security out of the box. SOC 2, HIPAA, ISO 27001, FedRAMP compliance built in.
• Understands your org structure. Work IQ technology knows reporting lines and user roles via Microsoft Graph.
• Context-aware across your workday. AI that understands connections between your emails, documents, and calendar.
• 40+ language support. Real-time meeting translation and captions.
• Agent Mode with visible reasoning. Autonomous document editing showing its work (January 2026 update).

Microsoft 365 Copilot Cons:

• Platform lock-in limits value. Nearly useless outside Microsoft ecosystem.
• Complex, expensive licensing. Requires base M365 license plus Copilot add-on. Note: Base M365 licenses increasing 5-33% in July 2026.
• Slower performance than native ChatGPT. User reviews consistently report it's "less sophisticated" than OpenAI's interface.
• Frequent hallucinations. Inaccurate suggestions and fabricated information reported across reviews.

3. Google Gemini for Workspace — Best for Google-native organizations

Google Gemini for Workspace Pros:

• No context-switching for Google teams. AI embedded in Gmail, Docs, Sheets, Slides, Drive, Chat, Meet with side panels in every app.
• Massive context windows handle huge documents. 1 million token capacity processes entire codebases, research papers, or sales transcript archives (Gemini 2.5 Pro and Gemini 3 Pro)
• Deep Research mode with citations. Autonomous multi-step research that shows its sources.
• Superior image generation. Nano Banana Pro praised as better than competitors in reviews.
• Real-time web connectivity. Inline citations and fact-checking for current information.
• Transparent pricing integrated into Workspace. No separate add-on as of January 2025.

Google Gemini for Workspace Cons:

• Only works with Google Workspace data. Cannot access Salesforce, Zendesk, Jira, Slack, or Microsoft tools.
• Reliability issues with long conversations. Hallucinations and performance degradation with large datasets reported.
• Misleading context window advertising. Gemini 2.5 Pro for Business has 32K context, not the advertised 1M tokens per user reports.
• No chat history deletion. Can't clear conversations or switch models mid-thread.
• Limited workflow customization. Generic capabilities don't adapt to unique company processes.

4. Anthropic Claude Enterprise — Best for coding and long-context work

Anthropic Claude Enterprise Pros:

• Best-in-class coding assistance. 54% AI coding market share.
• Massive 1 million token context. Analyze entire codebases, dozens of research papers, or hundreds of sales transcripts (beta on Sonnet 4.6).
• Superior natural language quality. More authentic, human-like responses than competitors.
• Extended reasoning with fewer hallucinations. Adaptive thinking for complex multi-step problems.
• Privacy-focused data handling. Doesn't use conversation data for training.
• GitHub native integration. Full codebase analysis and PR review capabilities.
• Comprehensive enterprise security. SOC 2, ISO 27001, HIPAA, FedRAMP High certified.
• Desktop agent for non-coding tasks. Claude Cowork automates file management, document creation, and multi-step workflows beyond technical work.

Anthropic Claude Enterprise Cons:

• Severe rate limiting even on paid plans. Users hit caps after 3-10 messages, making service "essentially unusable" for professional work per reviews.
• No custom AI models. Unlike ChatGPT's custom GPTs, can't create specialized versions.
• No built-in image generation. Need separate tools for visual content.
• Poor customer support. "No viable support channels" for issue resolution according to user reviews.
• Restrictive usage makes it frustrating. Frequent "capacity" errors interrupt workflows.

5. Perplexity Enterprise — Best for research-focused teams

Perplexity Enterprise Pros:

• Citation-first approach builds trust. Clickable footnotes for every claim let you verify sources instantly.
• Real-time web search beats training cutoffs. Always current information, not data from months ago.
• Multi-model access for flexibility. GPT-5.2, Claude Opus 4.6, Gemini 3 Pro available. Model Council (Max tier) runs 3 frontier models simultaneously for comparison.
• Premium data sources included. PitchBook, Statista, Wiley for financial and scientific research.
• 16+ workplace app integrations. Google Drive, SharePoint, Slack, Notion, Jira, Salesforce, GitHub.
• Zero training on your data. Privacy guarantee that conversations stay confidential.
• Comprehensive enterprise security. SOC 2 Type II, GDPR, HIPAA, PCI DSS certified.

Perplexity Enterprise Cons:

• Creative output feels dry compared to ChatGPT. Better for factual research than brainstorming or narrative writing per reviews.
• Limited conversational depth. Struggles with complex multi-turn dialogues that require memory.
• Immature customer support. Users report slow response times and limited help resources.
• Advanced controls require large teams. Audit logs, SCIM, insights dashboards need 50+ seats.
• Not a coding assistant replacement. Lacks specialized features for software development.

6. Amazon Q Business — Best for AWS-heavy organizations

Amazon Q Business Pros:

• Excellent for AWS Infrastructure as Code. Strong assistance with CloudFormation templates, service queries, deployment optimization.
• 40+ managed data connectors included. Salesforce, ServiceNow, Zendesk, Jira, SharePoint, Confluence, GitHub, S3.
• Permission-aware search respects access controls. IAM Identity Center permissions automatically enforced.
• Amazon Q Apps convert conversations to tools. Reusable no-code apps from chat interactions.
• Visual extraction handles complex documents. Parse PDFs, PowerPoint, Word, Google Docs for charts and diagrams.
• Strong deployment flexibility. Works in Slack, Teams, Outlook, Word, browser extensions.
• Proven productivity gains documented. 45-70% reduction in onboarding time per customer case studies.
• Comprehensive security certifications. SOC 1/2/3, HIPAA, PCI, ISO 42001 compliant.

Amazon Q Business Pros:

• "Significantly behind competitors" on accuracy. Internal Amazon documents from March 2025 acknowledged performance gaps.
• Struggles with tabular data. Spreadsheet processing and data analysis weaker than alternatives.
• Cannot maintain conversation memory. Forgets context across multi-turn dialogues.
• Complex setup for non-AWS data sources. SharePoint integration can take months to configure.
• Limited utility outside AWS ecosystem. Value drops dramatically if you're not AWS-centric.
• Index pricing adds hidden costs. Starter $0.140/hour per unit, Enterprise $0.264/hour per unit on top of user fees.

Comparison table

Frequently asked questions (FAQs)

How do I create an agent in ChatGPT Enterprise?

1. Go to ChatGPT and click "Create" or "My GPTs"
2. Add specific instructions, upload files, and configure settings
3. Share it with your team or keep it private

What's the difference between ChatGPT Enterprise and these alternatives?

• Ecosystem integration (Microsoft Copilot, Google Gemini): Embedded AI in existing productivity apps
• Model flexibility (Dust, Perplexity): Access multiple AI models, not just one vendor
• Specialized capabilities (Claude for coding, Perplexity for research, Amazon Q for AWS)
• Specialized agent architectures (Dust): Build department-specific AI workflows, not just chat

Can these alternatives connect to my company data?

• Dust offers 50+ native connectors with continuous sync (Salesforce, Notion, GitHub, Slack, Confluence, etc.)
• Microsoft Copilot and Google Gemini access their respective ecosystems (SharePoint/OneDrive or Google Drive/Docs) natively but struggle with third-party tools
• Perplexity connects to 16+ apps including Drive, SharePoint, Slack, Jira
• Amazon Q supports 40+ data sources but setup complexity varies
• Claude Enterprise uses MCP for custom connections but requires technical implementation

Are these alternatives more expensive than ChatGPT Enterprise?

• More affordable: Google Gemini ($14-22/user/month), Microsoft Copilot Business ($18/user/month)
• Similar range: Dust ($29/user/month), Amazon Q ($20/user/month + index costs)
• Variable: Claude Enterprise (custom, reported $60+ per seat), Perplexity ($34-271/user/month)

Which alternative has the best security for regulated industries?

• SOC 2 Type II certified: All six
• HIPAA compliant: Microsoft Copilot, Google Gemini, Claude, Dust, Perplexity, Amazon Q
• FedRAMP High: Microsoft Copilot, Claude, Amazon Q
• EU data residency: Dust, Google Gemini, Microsoft Copilot (available)