WorkLLM

Vs

Team AI

TeamAI is a multi-LLM team chat workspace that emphasizes shared prompt libraries, and the ability to build custom assistants/agents. WorkLLM is an enterprise AI workspace built for teams — where shared context, collaboration, and AI come together to support real work, not just conversations.

This page helps you decide which one fits your organization best.

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What each product is best at

Start here if you just want the essence before the big table.

Team AI

A multi-model chat workspace for teams that want access to many models, shared prompt libraries, document + datastore chat, and custom assistants or agents — with pricing based on a shared workspace instead of per-seat.

WorkLLM

A multi-LLM AI workspace built for teams — with shared context, collaboration, role-based AI Assistants, AI Tools, and context-aware AI Agents that help teams move work from idea to execution.

The difference?

TeamAI leads with multi-LLM access + shared prompts + workspace pricing. WorkLLM leads with team collaboration + shared context + execution, built for how teams operate day to day.

Full Comparison

Primary purpose Multi-LLM chat workspace for teams with shared prompts, assistants/agents, and add-on automation AI workspace designed around real team workflows across the organization
Multi-LLM support 20+ models across multiple providers 300+ AI models optimized by task type, strength, and cost
Context & memory Folders/projects + upload documents; higher plans add “datastores” and “resource library” for knowledge chat Persistent, shared context across conversations, tools, and team activity
Collaboration Team collaboration features including shared workspaces and shared prompt libraries Full workspace collaboration with shared chats, comments on AI responses, and group conversations
AI Assistants “Custom assistants/agents” with knowledge base integration (connect/train using internal documents and data) Dedicated RAG-powered AI Assistants trained on company or team knowledge (i.e. HR Assistant, Sales Assistant, etc.)
AI Tools Custom plugins/tools are positioned as “custom plugins” and “tools & MCP integrations”; largely configured vs. prebuilt tool catalog Pre-built and customizable AI Tools that generate consistent, professional outputs with built-in context (i.e. Blog Writer, Social Post Generator, etc.)
AI Agents No-code agent builder + automated workflows Context-aware AI Agents that monitor events, make decisions, and take action across connected tools. (i.e. Weekly Summary report, Auto Lead follow up, etc.)
Integrations & app capabilities Positions Slack/Jira/Zapier capabilities; FAQ lists connection types incl. API, MCP server, Zapier, Google Workspace Deep, workflow-oriented integrations designed for cross-tool execution
Prompt builder & library Customizable prompt library + shared prompt libraries; large library of prebuilt prompts Central Prompt Builder with a shared Prompt Library across teams
Reporting & analytics Usage reporting available. Not finding deep analytics on the website. Detailed reports on usage, adoption, and activity by team and user
Tenant model Shared SaaS with workspaces; enterprise plan includes SAML SSO + SCIM + advanced permissions/security controls Separate tenant per organization
Security & controls Enterprise includes SSO/SCIM Enterprise-ready security with workspace isolation and governance
Pricing Workspace-based pricing (not per seat): $5/mo Individual, $25/mo Starter, $149/mo Professional; Enterprise Solutions is “contact for pricing” $20/user/month (Basic) and $30/user/month (Pro); 10% discount on annual plans
Disclaimer: Information about Team AI is based on publicly available documentation and product information as of January 2026. Features, pricing, and capabilities may change over time.

When To Choose Which

Choose Team AI if...

You want a multi-LLM team chat workspace with shared prompt libraries and knowledge chat via documents/datastores
Workspace-based pricing is a major driver (you don’t want to pay per-seat for everyone)
You want to build custom assistants/agents and add plugins/workflows within their platform approach

Choose WorkLLM if...

You use multiple AI models in one shared workspace
Your teams need to work together on AI outputs
You don’t want to re-explain background and decisions every time AI is used
You want AI to help finish work, not just generate drafts — through AI Assistants, AI Tools, and AI Agents

Happy Customers

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See how WorkLLM compares in practice

We’ll walk you through real workflows and enterprise use cases.