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Comparison · Skyller and ChatGPT Enterprise

AI specialists. Approved knowledge. Work you can track.

Bring agent Teams, document review and publication, task boards and team assessments into one workspace. Skyller combines models from multiple providers and turns company knowledge into recurring work. Compare this combination with ChatGPT Enterprise’s agents, apps and enterprise features.

See the comparison criterion by criterion

Choose for your process

When each one is the right choice.

When to choose Skyller

Choose Skyller when your team needs AI specialists, validated knowledge, assigned tasks, assessments and recurring routines in one workspace.

The subscription includes users and credits according to the plan, with Portuguese-language support and integrated features for business teams.

When to choose ChatGPT Enterprise

ChatGPT Enterprise is a good fit for teams prioritizing OpenAI’s models and apps, shared projects and workspace agents with actions, approvals and schedules.

Evaluate your existing integrations and the commercial proposal, including expected usage.

AGENT TEAMS

specialists with models from multiple providers

177 TEMPLATES

ready-made policies and processes, written in Portuguese

SEVERAL VENDORS

the platform picks the model by type of task

SCHEDULED ROUTINES

agents and Teams, with run history

What is being compared

A comparison is only useful when the reader knows exactly what went in on each side. Here it is.

On their side: the Enterprise plan
ChatGPT Enterprise has custom commercial terms, with credit- or token-based billing options. Where Business changes the answer, the row identifies the plan. Workspace agents are included in the comparison.
On our side: a contracted Skyller plan
What any company gets when it subscribes, with the numbers from the platform's commercial catalogue. Whenever something depends on a plan, an add-on or a project, the condition is written in the cell — not in a footnote.
Workflow evaluated
Company knowledge, agents, execution and work management. App-specific features and custom projects are identified in the rows.
When this was checked
Official sources consulted on 6 and 7 September 2026. Each reading date appears in the source list. Confirm the offer and commercial terms before deciding.

This comparison evaluates platforms and workflows. Skyller uses models from providers such as OpenAI and Anthropic; available features depend on the plan, permissions and credits.

Criterion by criterion

What your team can do in practice.

Compare the full workflow: organize knowledge, mobilize agents, execute and track. Open a row for conditions and sources.

Compare side by side. Click a row or + for the full explanation and sources.

Part of itConditional / limitedNot part of the offerNot confirmed in the documentation
The question: Skyller / ChatGPT Enterprise
Feature or criterionSkyllerChatGPT Enterprise

Offer and purchasing

Skyller

One monthly fee for the company

Up to the plan’s user limit

ChatGPT Enterprise
Conditional / limited

Custom Enterprise terms; credits or tokens

[1]
Skyller

Published pricing

ChatGPT Enterprise
Conditional / limited

Published Business; custom Enterprise

[1]

Knowledge and work

Skyller

Published once, for whoever the company decides

ChatGPT Enterprise
Conditional / limited

Connected apps, projects and agents

[3][4][1]
Skyller

Template library in Portuguese

ChatGPT Enterprise
Not confirmed

Native equivalent not confirmed

[1]
Skyller

Boards, owners, deadlines and checklists

ChatGPT Enterprise
Conditional / limited

Projects, tasks and agent actions

[4][1]
Skyller

From document to assessment and results

No certificate

ChatGPT Enterprise
Not confirmed

Native equivalent not confirmed

[1]
Skyller
Conditional / limited

Slack, Telegram and WhatsApp

Additional credits · requires an API-enabled plan

ChatGPT Enterprise
Conditional / limited

ChatGPT and agents in Slack

[4]
Skyller

Several vendors, routed by task

ChatGPT Enterprise

OpenAI models

[1][2]
Skyller

Teams with a lead and specialist agents

ChatGPT Enterprise
Conditional / limited

Shared agents with OpenAI models

[4]
Skyller

Draft, review and publication with history

ChatGPT Enterprise
Conditional / limited

App and agent knowledge and permissions

[3][4]
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
Conditional / limited

OpenAI service with contracted residency

[1]

Features vary by plan and configuration. Each criterion cites official sources, with consultation dates below; unconfirmed items do not establish that a feature is absent.

Where the difference shows up

How this combination changes daily work.

The value comes from connecting the steps your team handles every day. See what already works together in Skyller.

The complete workflow

Several specialists, one company deliverable

ChatGPT Enterprise already offers shared agents with actions, schedules and OpenAI model selection. In Skyller, a Team can bring together purchasing, finance and operations specialists with model configurations from different providers. Depending on the mode, the lead routes to one specialist or coordinates several members and combines their output. The value is organizing responsibilities, knowledge and tools into a reusable workflow.

Test the whole path, from request to tracked delivery, in both alternatives.

The company’s choice

A published policy becomes tasks and assessments

Updating an internal policy takes more than writing it. In Skyller, the company configures single approval or review followed by approval, publishes to a workspace and defines access. It then assigns board tasks and generates an editable assessment to check understanding. ChatGPT projects, files and agents also share knowledge; compare how validation and follow-up fit together with your team’s apps.

Choose based on what your team can execute, validate and maintain every day.

Trackable execution

Give the output an owner, deadline and next run

In the same platform, a conversation can create cards with an owner, deadline, priority and checklist. Documents can become editable assessments assigned to people or groups, with a passing score and result tracking. For recurring work, schedule agents or Teams and inspect run history. Every stage respects permissions, allowances and available connections.

The information you consult becomes assigned work, tracked learning and a repeatable routine.

An ordinary Tuesday

The remote work policy changed. Now what?

An example workflow configured in Skyller, using fictional data. Permissions, approval and features follow company and plan rules.

  1. What comes in

    HR finishes the new remote work policy and needs 140 people, across three sites, to know what changed.

  2. What happens

    1. 01The text enters the HR workspace and follows configured approval or review before publication.
    2. 02HR generates an assessment draft, reviews the questions and assigns the published assessment to teams with a deadline and passing score.
    3. 03Authorized users ask about the policy and get sourced answers; HR tracks attempts and results.
  3. What remains

    The owner tracks responses, scores and areas of difficulty. Results help guide material review and training reinforcement.

Skyller · Remote work

Remote work

Remote work

Where should you check the current guidance?

Demonstration · illustrative data

What Skyller does not do here

  • The assessment issues no certificate and records no “read and understood” signature.
  • The group becomes a list of people at the moment of assignment: anyone who joins the company later has to be assigned again.
  • Publication follows workspace policy: single approval or review followed by approval. Drafts and pending content stay out of production answers.

Straight questions

What we usually hear in this conversation.

Sources

Where each claim about ChatGPT Enterprise came from.

Official OpenAI documentation only. No figure on this page came from a blog, a third-party comparison or a market estimate — including the per-seat prices that circulate online and that OpenAI does not publish.

  1. [1]OpenAI · Business pricing and the Business vs Enterprise feature comparison

    https://openai.com/business/pricing/

    Read on 2026-09-07

  2. [2]OpenAI · ChatGPT Enterprise

    https://openai.com/chatgpt/enterprise/

    Read on 2026-09-06 · read through a reading proxy: this site's server receives a 403 on direct access

  3. [3]OpenAI · Help Center · Company knowledge in ChatGPT (Business, Enterprise and Edu)

    https://help.openai.com/en/articles/12628342-company-knowledge-in-chatgpt-business-enterprise-and-edu

    Read on 2026-09-07

  4. [4]OpenAI · Workspace agents: actions, Slack and schedules

    https://help.openai.com/en/articles/20001143

    Read on 2026-09-07

The next step

Put a real process to work.

Bring a procedure, a recurring routine and the team responsible. See how Skyller connects knowledge, agents and follow-up. Start a free trial or book a demonstration for your use case.