Comparison · Updated 18 September 2026 · 6 min read

Harmona vs ChatGPT Enterprise

Two different products in the same budget line: a general assistant for every employee, and a workspace that runs a team's work on its own data.

Who each one is for

ChatGPT Enterprise is OpenAI's plan for giving every employee a general assistant: the best general models, long context, file analysis, connectors to common tools, custom GPTs, and the admin controls a large company needs. It is a per-seat product, and its value grows with how many people use it for everyday writing, research and analysis.

Harmona is a workspace for a team's recurring work: Workers with a persistent board on the team's own data, agents grounded in databases and documents, workflows with approval steps, and a builder that works by conversation. It is bought per team, and its value grows with how much of the team's operating rhythm runs through it.

Where ChatGPT Enterprise is stronger

  • Breadth of general capability: writing, coding, research, images, voice, with OpenAI's newest models first.
  • Adoption at scale across a whole organisation, with SSO, SCIM, domain verification and usage analytics.
  • Custom GPTs and connectors, including custom connectors, for employees to build their own helpers.
  • A published no-training default and enterprise data-retention controls, per OpenAI's help centre.

Where Harmona is stronger

  • A surface that stays. A Worker's board refreshes from SQL databases, spreadsheets, HubSpot, Zoho Desk or Jira on a schedule with no model in the loop. A chat assistant answers and forgets.
  • Data the way enterprises hold it. Seven SQL engines, SAP, SFTP, SharePoint, Google Drive, documentation sites and resolved tickets, read with the asking person's permissions.
  • Actions with approval. 200+ ready-made actions in business tools, each behind an approval card; unattended tasks with permissions granted at creation.
  • Deployment choice. EU cloud, private cloud or on-premises, with your own model keys if you prefer.
  • Priced per team, not per employee. Business is from $80 a month billed annually for 5 seats, with a monthly credit allowance; widget refreshes are free.

Side by side

HarmonaChatGPT Enterprise
What it isA workspace: Workers, agents, workflows, Agent ModeA general AI assistant for employees, with admin controls
Persistent board on company dataYes, 50+ widget types, refreshed without AIProjects and Canvas for documents; no self-refreshing data board
Company data sourcesSQL databases, SAP, documents, drives, SharePoint, ReadMe.com, Zoho Desk tickets, web pages, imagesFile uploads, company knowledge across connected apps with citations, connectors including custom MCP servers
Actions in business toolsHubSpot, Jira, Zoho Desk, Gmail, Outlook, Drive, SharePoint, Teams, SAP, REST/SOAP; 200+ actionsVia connectors and custom GPT actions
Human approval before outbound actionsApproval card in chat, workflows and tasksChatGPT agent asks the user to confirm consequential actions such as sending e-mail or purchases; no shared approval inbox
Scheduled, unattended workWorkflows and delegated tasks with permissions granted at creationScheduled tasks and recurring agent runs per user
DeploymentEU cloud, private cloud, on-premisesOpenAI cloud; data residency options for some regions
Training on your dataNoNo by default, per OpenAI
PricingIndividual from $8/mo billed annually ($10 monthly); Business from $80/mo billed annually ($100 monthly) with 5 seats; Enterprise customBusiness $25 per user per month, or $20 billed annually; premium seats $125 or $100; minimum 2 seats. Enterprise not published, sales-negotiated

Sources. Accessed 2026-09-18: OpenAI Help Center, "What is ChatGPT Enterprise?", "ChatGPT Business: General FAQ", "Managing billing and seats in ChatGPT Business", "ChatGPT agent", "Apps in ChatGPT", "Company knowledge in ChatGPT", "Data residency and inference residency for ChatGPT"; openai.com business pricing. Harmona: product and pricing pages on harmona.ai.

How to choose

They are rarely either/or. Give every employee a general assistant if writing and research are the bottleneck. Give a team a Worker when its bottleneck is the recurring work on its own data: the pipeline review, the shift briefing, the close checklist, the reports that someone assembles by hand every week. Many companies do both, and the Worker is the place where the team's numbers live.

Tomorrow is a long time in AI. Start today.

Every week without a Worker is a week of work you did by hand. Create a workspace today and have your first one running before your next meeting.

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