Comparison · Skyller and ChatGPT Enterprise
AI specialists. Approved knowledge. Work you can track.
Skyller knows the company, the area and the documents it has published, and answers with that context: Agent Teams running models from OpenAI and other providers, documents reviewed before they are published, and tasks, assessments and routines in one place.
See the comparison criterion by criterionChoose for your process
When each one is the right choice.
MULTIPLE PROVIDERS
the right model for each kind of task
177 TEMPLATES
ready-made policies and processes
PUBLISHED PRICING
plans and add-ons in plain view
AGENT TEAMS
specialists that work together
What is being compared
ChatGPT Enterprise (and Business, where the answer changes), including workspace agents, against Skyller’s contracted plan. Sources read on 6 and 7 September 2026.
- Workflow assessed
- Company knowledge, agents, execution and work management.
- Conditions
- Anything that depends on a plan, add-on or project is written in the row itself, not in a footnote.
We compare platforms and workflows, not models: Skyller also works with models from OpenAI and Anthropic.
Criterion by criterion
What your team can do in practice.
Compare side by side. Click a row or + for the full explanation and sources.
| Feature or criterion | Skyller | ChatGPT Enterprise |
|---|---|---|
Offer and purchasing | ||
Skyller One monthly fee for the company Up to the plan’s user limit | ChatGPT Enterprise | |
Skyller Published pricing | ChatGPT Enterprise | |
Knowledge and work | ||
Skyller Published once, for whoever the company decides | ||
Skyller Template library in Portuguese | ChatGPT Enterprise | |
Skyller Kanban boards, owners, deadlines and checklists | ||
Skyller From document to assessment and results No certificate | ChatGPT Enterprise | |
Skyller Conditional / limited Slack, Telegram and WhatsApp Additional credits · requires an API-enabled plan | ChatGPT Enterprise | |
Skyller Several vendors, routed by task | ||
Skyller Teams with a lead and specialist agents | ChatGPT Enterprise | |
Skyller Draft, review and publication with history | ||
Skyller Scheduled agents and Teams, with run history | ChatGPT Enterprise Agents with schedules and API triggers [4] | |
Operations and control | ||
Skyller Conditional / limited Enterprise, on customer infrastructure Enterprise · project and contract; models and services may process data externally | ChatGPT Enterprise | |
Features vary by plan. An unconfirmed item does not mean the feature is missing.
An ordinary Tuesday
The remote work policy changed. Now what?
What comes in
HR finishes the new remote work policy, and 140 people across three sites need to know what changed.
What happens
- 01The text enters the HR workspace and goes through the configured review before publication.
- 02HR generates the assessment from the text, reviews it and assigns it to teams with a deadline and passing score.
- 03Anyone with access asks about the policy and gets the answer with its source.
What remains
HR sees who responded, the scores and the points that need reinforcement.
Remote work
Remote workWhere should you check the current guidance?
Demonstration · illustrative data
Good to know
- Certificates and formal “read and agree” sign-off stay with the tool the company already uses for that.
- An assignment covers whoever is in the group that day; people who join later need a new assignment.
Straight questions
What we usually hear in this conversation.
Sources
Where each claim about ChatGPT Enterprise came from.
Official OpenAI documentation only, with the date of each reading. Per-seat prices circulating elsewhere are not used.
- [1]OpenAI · Business and Enterprise pricing and features
Read on 2026-09-07
- [2]OpenAI · ChatGPT Enterprise
Read on 2026-09-06 · read via proxy (direct access: 403)
- [3]OpenAI · Company knowledge in ChatGPT
Read on 2026-09-07
- [4]OpenAI · Workspace agents: actions, Slack and schedules
Read on 2026-09-07
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