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Comparisons

ChatGPT for Work vs. OpenAssistant: An Assistant for Every Employee

Justin CanettiJustin Canetti8 min read
Two panels. On the left, a chat window where someone asks to summarize a contract and draft a reply. On the right, an assistant's inbox showing threads about a renewal, a meeting time, and an invoice being chased or handled.

For most companies, ChatGPT is the AI they already have. It is the tool employees reach for first, and OpenAI has been building it out for organizations: ChatGPT Business and Enterprise, company knowledge that searches your connected apps, shared projects, a ChatGPT Work agent for longer tasks, and workspace agents your team can build and publish.

A note on naming: OpenAI sells this as ChatGPT Business, Enterprise, and Edu, and its agent for longer jobs is called ChatGPT Work, so we use "ChatGPT for Work" here as shorthand for that whole set.

It is a strong, mature, sensibly priced product. The question worth asking is what kind of help it gives. ChatGPT is a place you go to ask for something. An assistant is someone who is already in the work.

ChatGPT for Work vs. OpenAssistant at a Glance

 ChatGPT for workOpenAssistant
What it isA workspace of chat, agents, and company knowledge across your connected appsAn executive assistant with a name, personality, and its own identity
How you use itChatGPT on web, iOS, and Android, plus an agents app in team chatPhone calls, iMessage, SMS, WhatsApp, email, and web
Its own phone number and emailNone found; agents act through connected accountsYes: its own phone number and email address (or one on your company domain), and its own secure computer
Working with people outside your companyNot documented as an autonomous capabilityHandles the exchange itself, including multi-person threads, hand-offs, and follow-ups
Shared workShared projects and shareable workspace agents inside a workspaceShared tasks, memories, contacts, files, and workflows, inside your company and across companies
Scheduled and triggered workScheduled and monitoring tasks; workspace agents can run on a schedule, from team chat, or by APIWorkflows on demand, on a schedule, or on a trigger, described in plain English
ConnectorsA large connector set, with company knowledge that respects each user's permissionsYour calendar, inbox, files, and business systems
Security and adminNo training on business data by default; Enterprise adds SCIM, RBAC, a Compliance API, and data residency optionsSOC 2 Type II, GDPR and CCPA, SAML SSO, SCIM, and RBAC on Team plans, audit logs on Enterprise; no training on customer data
PricingBusiness about $20 per user per month billed annually; Enterprise on requestPaid plans per seat; request access

ChatGPT details reflect OpenAI's help center and announcements as of September 2026. OpenAI ships changes often and several features are in research preview, so re-check before relying on any single row.

ChatGPT for Work is a place your team goes to get things done. OpenAssistant is an assistant who is already there, and who works with the people outside the chat.

What ChatGPT for Work Does Well

It is worth being specific, because the strengths are real.

  • Company knowledge. Answers with citations from Google Drive, SharePoint, GitHub, HubSpot, and other connected sources, respecting each person's access.
  • Reach. Nearly every employee already knows how to use it, which makes rollout easy.
  • Workspace agents. Teams can build agents, share them, and run them on a schedule, from team chat, or by API.
  • A mature enterprise stack. On Enterprise: SCIM, role-based access, a Compliance API, immutable logs, and data residency in many regions, with business data not used for training by default.
  • Price. A low per-seat entry point.

If you want to give a company one general-purpose AI tool for research, writing, analysis, and code, this is a reasonable choice.

A Place You Go vs. Someone Who's There

ChatGPT waits to be asked. Its agents can run on schedules and triggers, but the center of gravity is the chat window: you open it, describe the task, and review the output.

An OpenAssistant assistant lives where the work is. It has its own phone number and email address, so people can text it, call it, cc it, or forward it something, the same way they would a human executive assistant. It also reaches out to people, which is where most real work happens.

Real work is not done alone at a desk, one on one with an agent. It involves other people, and doing it well takes six things a chat tool is not designed around:

  • Multi-person coordination, keeping one thread straight across several people
  • Back-and-forth communication that runs for days without you re-explaining it
  • Hand-offs and approvals, so the right person signs off before anything goes out
  • Negotiation and consensus-building, like finding a time that works for six calendars
  • Follow-ups and accountability, including chasing the people who have not replied
  • Social etiquette and reading the room, because your assistant is speaking in your name

The people it deals with do not need an account. They only need to be someone you work with.

Shared Work, Inside and Across Companies

ChatGPT's collaboration is inside a workspace: shared projects, shared agents, and shared context among people in your organization. That is useful, and it is a good fit for internal work.

OpenAssistant's collaboration extends past the company line. Tasks, memories, contacts, files, and workflows can be shared inside your company, and across companies, where your assistant works with someone else's assistant on one shared task. The renewal with a vendor and the deal with a customer are exactly the kind of work that sits between organizations.

Governance and Trust

OpenAI's compliance story is strong, and we would not pretend otherwise. If your IT team has already approved ChatGPT, that approval carries real weight.

OpenAssistant is built to clear the same bar for an assistant that has its own identity and acts on its own:

  • SOC 2 Type II, GDPR, and CCPA, with encryption in transit and at rest, and no training on customer data
  • SAML SSO, SCIM, and RBAC on Team plans, and audit logs on Enterprise
  • Per-action autonomy an admin can lock team-wide, with supervision that can be tightened but never loosened by any instruction the assistant receives
  • Confirmation windows and approved wording, so sensitive messages are sent verbatim after a person signs off
  • Credential hand-off, so the assistant never sees your passwords

Details are on our Trust Center and pricing page.

Who Should Use Which?

ChatGPT for Work is a good fit if you want one general-purpose AI for the whole company, and your priorities are research, writing, analysis, and building agents on your own data.

OpenAssistant is a better fit if your reaction to ChatGPT was:

It is great when someone opens it. I want something that is already handling it.

They are not mutually exclusive. Many teams will keep ChatGPT for the thinking and add an executive assistant for the scheduling, follow-up, and coordination that fills the rest of the week.

An executive assistant for the work you do with others

Connect your tools, hand over the recurring work, and let your assistant coordinate with the people around you.

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