Top AI Agent Companies for Enterprise Teams (2026)
Davis Christenhuis
Enterprise teams are deploying AI agents to automate work across departments. The AI agent companies building these systems range from model providers to deployment platforms to automation tools, each solving different parts of the problem. This guide covers four options and where each one fits.
📌 TL;DR
Pressed for time? Here's the breakdown of the AI agent companies:
- Dust: Multi-model platform for enterprise teams deploying agents across departments with full data permission controls. Choose between GPT-5, Claude, Gemini, Mistral, and other models per agent without vendor lock-in.
- Microsoft Copilot: AI agents embedded in M365 apps like Word, Excel, and Teams with native Microsoft integration. Best for organizations already standardized on Microsoft 365 with minimal need for external tool connections.
- Glean: Work AI platform built on enterprise search with several app connectors. Strong knowledge graph foundation with agents built on top for search and workflow automation.
- ChatGPT Enterprise: OpenAI-powered workspace with access to GPT-5 and custom agent building. Best for teams prioritizing OpenAI's reasoning models without requiring deep cross-system integrations.
What are AI agents?
AI agents are software systems that use large language models to understand instructions, retrieve information, reason about problems, and take actions across applications without being explicitly programmed for every scenario. They handle multi-step workflows, adapt to context, and make decisions based on the information they retrieve.
Some agents run when you ask them a question. Others monitor systems for specific triggers and act automatically when conditions are met. They range from conversational assistants and workflow automation agents to highly capable systems that execute multi-step tasks across business applications with minimal human input.
What makes an AI agent company enterprise-ready?
Not every AI platform works for enterprise deployment. Teams evaluating options should look for these capabilities:
- Permission-aware data access: Agents must respect user-level permissions across all connected systems, not just workspace-level access
- Compliance and security: SOC 2 Type II certification, GDPR compliance, SSO, SCIM, and audit logs are table stakes for most enterprises
- Multi-department deployment: The platform should support different teams with different data access needs from a single workspace
- Integration depth: Agents should be able to retrieve information and take action in connected tools, including creating tickets, updating records, and triggering workflows
- Admin governance: Workspace admins need visibility into agent usage, data access, and control over which agents can take which actions
Top AI agent companies
Dust: Enterprise platform for deploying custom AI agents
Dust is an AI platform built for enterprise teams that need to deploy agents across departments, connect to company-wide data with permission controls, and build custom agents without code. Agents can query data from connected tools and take actions across systems automatically.
The platform includes integrations with tools like Notion, Slack, GitHub, Google Drive, Salesforce, and Zendesk. Users build agents using natural language instructions, connect relevant data sources, and choose which model to use.
Admins control which teams can access which data through Spaces, ensuring agents only query information users have permission to see.
Dust Key features
- No-code agent builder: Configure agents using natural language instructions, select data sources, and preview behavior before deployment
- Multi-model support: Choose between GPT-5, Claude, Gemini, Mistral, and other providers per agent based on task requirements
- Permission-controlled data access through Spaces: Admins organize data into Open or Restricted Spaces, controlling which teams and agents can access which data sources. Agents only query information within the spaces they are assigned to, ensuring data boundaries across departments.
- Action capabilities across several integrations: Agents can create tickets, update CRM records, post to Slack, modify documents, and trigger workflows
- Event-based execution: Run agents on schedules, webhooks, or specific events without manual prompting
Dust Pros
- No vendor lock-in; swap models per agent as newer ones become available
- Non-technical teams can build and deploy agents without developer support
- Enterprise compliance built in (SOC2 Type II, GDPR compliant, enables HIPAA compliance)
Dust Cons
- Cloud-only platform with no self-hosting option for teams requiring air-gapped deployment
- Steeper learning curve than single-purpose tools focused on one use case
Why enterprise teams choose Dust
Organizations choose Dust when they need AI agents that work across multiple departments with different data access requirements. The platform separates model selection from infrastructure, letting teams use the best model for each task without committing to a single vendor.
Sales teams use agents to research prospects by pulling data from CRM, email, and support systems. Support teams deploy agents that search knowledge bases, draft responses, and create tickets. Data teams build agents that let non-technical users query databases in plain English.
Building an agent in Dust takes minutes. In this example, a sales research agent can pull company data from Salesforce and Notion to draft personalized outreach emails. On the left, you define the instructions and connect data sources. On the right, you see a preview of the agent's output with sources cited for full transparency. The agent chose to use web search.
💡 Want to see how Dust works for your team? Try Dust free for 14 days →
Microsoft Copilot: AI agents embedded in Microsoft 365
Microsoft Copilot embeds AI across Microsoft 365 apps including Word, Excel, PowerPoint, Outlook, Teams, OneNote, Loop, SharePoint, and more. It generates documents, analyzes spreadsheets, summarizes meetings, drafts emails, and answers questions using your organization's Microsoft 365 data.
Microsoft Copilot Key features
- Native M365 integration: Works directly inside Word, Excel, PowerPoint, Outlook, and Teams without context switching
- Meeting intelligence: Generates summaries, action items, and follow-ups from Teams meetings automatically
- Enterprise security: Inherits your existing Microsoft security, compliance, and identity infrastructure
- Work-grounded responses: Pulls context from emails, chats, documents, and calendar across your M365 workspace
Microsoft Copilot Pros
- Familiar interface for organizations already using M365 apps
- Enterprise governance and compliance infrastructure already in place
- Meeting summaries and action items in Teams once transcription is enabled by an IT admin, with real-time Copilot assistance available during meetings
Microsoft Copilot Cons
- Limited functionality if your team uses Google Workspace, Notion, Slack, or non-Microsoft tools
- Model selection limited to Microsoft-approved providers (currently OpenAI and Anthropic)
Glean: Enterprise search with AI agents
Glean is a work AI platform built on enterprise search that connects to company data sources and uses AI to answer questions, surface insights, and power custom agents. The platform indexes data from connected tools, builds a knowledge graph of your organization's information, and lets teams search across everything with permission awareness.
Glean Key features
- Several app connectors: Integrates with business tools including Google Workspace, Microsoft 365, Slack, Salesforce, Notion, Confluence, and Jira
- Agent Builder: Create custom agents using natural language that can reason, search company knowledge, and execute workflows
- Permission-aware search: Respects source-level permissions so users only see content they have access to
- Knowledge graph: Maps relationships between people, content, and topics across your organization automatically
- Fast and Thinking modes for agents: Agents can execute steps quickly or use deeper reasoning depending on task complexity
Glean Pros
- Managed cloud infrastructure means teams get up and running without IT managing databases
- Strong search foundation with AI agent capabilities built on top
Glean Cons
- Agent capabilities newer than core search product
ChatGPT Enterprise: OpenAI-powered workspace for teams
ChatGPT Enterprise is OpenAI's highest-tier organizational plan that gives teams access to GPT-5, custom GPTs, advanced reasoning models, and integrations with company data. The platform includes Codex, a cloud-based coding agent for writing features, fixing bugs, and managing pull requests across codebases.
ChatGPT Enterprise Key features
- Custom GPTs: Build specialized assistants for tasks like code review, content editing, or data analysis
- Company Knowledge (Business/Enterprise): Upload documents and connect apps to give GPTs access to company data with permission awareness
- Agent Mode: Autonomous task execution for multi-step work, with write actions disabled by default until enabled by workspace admins
- Deep research: Agents can autonomously search the web, synthesize information, and produce research outputs
ChatGPT Enterprise Pros
- Custom GPTs let teams build specialized tools without code
- Strong research and analysis features for knowledge work
ChatGPT Enterprise Cons
- OpenAI-only models with no ability to use Claude, Gemini, or other providers
- Write actions to connected apps are disabled by default and require admin pre-enablement, adding a governance step before teams can use autonomous workflows
Comparison table
Feature | Dust | Microsoft Copilot | Glean | ChatGPT Enterprise |
Multi-model support | ✅ | ⚠️ | ✅ | ❌ |
No-code agent builder | ✅ | ✅ | ✅ | ✅ |
Permission-aware data | ✅ | ✅ | ✅ | ✅ |
Write-back actions | ✅ | ✅ | ✅ | ⚠️ |
Cross-platform integrations | ✅ | ⚠️ | ✅ | ✅ |
Automated triggers | ✅ | ⚠️ | ⚠️ | ⚠️ |
Enterprise search depth | ⚠️ | ⚠️ | ✅ | ⚠️ |
SOC 2 Type II | ✅ | ⚠️ | ✅ | ✅ |
💡 Building AI agents for multiple departments? Talk to our team →
Frequently asked questions (FAQs)
Which AI agent platform is best for enterprise teams?
It depends on your tech stack and deployment needs. If you run entirely on Microsoft 365, Copilot integrates natively with minimal setup. If you use multiple tools across departments and want model flexibility, Dust lets you choose between providers per agent. Glean excels at enterprise search with agent capabilities built on top. ChatGPT Enterprise works well for teams that prioritize OpenAI's reasoning models and don't need deep cross-system integrations.
Can you use multiple AI agent platforms together?
Yes, but it adds complexity. Running multiple platforms means managing separate licenses, governance policies, and user training. Enterprise teams typically choose one primary platform to avoid duplication and simplify administration. The exception is using specialized tools for specific functions alongside a general-purpose agent platform.
Can AI agents integrate with legacy systems?
Integration depends on whether your legacy system has an API or can export data to modern formats. Most AI agent platforms connect through standard APIs, webhooks, or database connections. If your legacy system lacks modern integration options, you may need middleware or custom connector development. Some platforms offer professional services to build custom integrations. Alternatively, exporting legacy data to cloud storage like Google Drive or SharePoint lets agents access it without direct system integration.
Related articles
- AI agents for enterprise: What they do and how companies deploy them — What makes an AI agent enterprise-ready, how they work, the security requirements that matter, and what real deployment looks like.
- Top AI agent tools in 2026 (And when you need a platform) — A comparison of AI agent tools including ChatGPT, Microsoft Copilot, Lindy, n8n, and Zapier.
- ChatGPT Enterprise Alternatives: Best AI Platforms for Business (2026) — Alternatives to ChatGPT Enterprise for teams that need multi-model support or deeper integrations.