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Decision brief

ChatGPT Review: What to Settle Before Rolling It Out Across Teams

Buy ChatGPT for one governed assistant across many roles, once credit caps, retention, and an enablement owner are in place.

Reading time
3 min read
Sources
18 cited
In this piece
ChatGPT+14 Mixed

GILD verdict

Buy ChatGPT when an organization wants one assistant across business teams.

Settle the plan, credit limits, retention, and an enablement owner before seats expand.

ChatGPT

AI Assistant by OpenAI

+14 Mixed
Product page

Fit and limits

Who it fits

  • You want one assistant for writing, research, file analysis, and multi-step tasks across many roles, in a workspace your admins control.
  • Your teams will build shared assistants: custom GPTs today, plugins as custom GPTs retire.
  • You need Enterprise controls such as SCIM, role-based access, the Compliance API, data residency in ten regions, and retention set by your admins.
  • Your people already use ChatGPT on personal accounts and you want that work inside a workspace where business data is not used for training by default.

Where it falls short

  • Seat prices hide usage. ChatGPT Work, deep research, and Pro models draw on seat allowances and then credits, and Business credit limits start unset.
  • Self-serve Business excludes zero data retention, BAAs, invoicing, and SCIM. Those need an Enterprise agreement.
  • Custom GPTs are being retired in favor of plugins: a migrated GPT turns read-only, custom actions must be rebuilt, and sharing depends on workspace permissions.
  • ChatGPT plans include OpenAI's models only, so teams that want Anthropic or Google models need another assistant.

Implementation reality

  1. Choose the plan by the controls you need

    Business costs US$20 per user per month billed annually or US$25 monthly for Standard seats, with SAML SSO, MFA, and no training on workspace data by default. Enterprise adds SCIM, Enterprise Key Management, role-based access, the Compliance API, IP allowlisting, admin-set retention, and data residency in ten regions. Pick Enterprise when those controls are requirements.

  2. Mix seat types to the work

    Business Premium seats cost US$100 a month on annual billing or US$125 monthly and include five times the Work and Codex usage of Standard seats, with no five-hour limit. Give Premium to the people who run long Work tasks, and keep everyone else on Standard.

  3. Put limits on credits before usage grows

    On Business, monthly credit limits by seat type and per user are unset by default, and automatic reload has no monthly cap unless you enter one. On Enterprise, the shared credit pool pauses advanced features when it runs out unless overages are enabled. Set the overage limit to zero to block new credit use. OpenAI reports that first-time Work adopters in Marketing added about US$53 a year in credits at the median, US$309 on average, and US$1,154 at the 90th percentile. A few heavy users drive the average, so set per-user limits from your own pilot's spread.

  4. Plan enablement as part of the purchase

    OpenAI's admin guidance starts with a limited group and a workflow you can evaluate. It prepares champions and support teams before launch and tells users to check outputs and important claims before sharing them. Name an owner for that work before seats expand, then review usage, feedback, and credit consumption before widening access. Judge the pilot on measured output. An NBER study of Danish surveys and administrative records found workers reporting productivity benefits from chatbots. It ruled out effects on earnings or recorded hours larger than 2% two years after ChatGPT launched.

What to measure in your pilot

  • GILD found OpenAI's Work credit figures only for Marketing staff. For every other role in the pilot, compare four weeks of combined Chat and Work credits with the same people's earlier Chat use.
  • GILD read OpenAI's migration guide and the September 2026 community threads and found no migration success rates; migrate your three most-used GPTs first, rerun saved prompts, and count actions to rebuild.
  • GILD found no task-level study of ChatGPT Business output; time one recurring workflow for two weeks before rollout and four weeks after, and add seats only if measured cycle time falls.

Sources

Official documentation
16
Public source
2
  1. ChatGPT pricingOfficial documentationchatgpt.com
  2. ChatGPT BusinessOfficial documentationchatgpt.com
  3. OpenAI Help Center: ChatGPT Business overviewOfficial documentationhelp.openai.com
  4. OpenAI Help Center: ChatGPT Business models and limitsOfficial documentationhelp.openai.com
  5. OpenAI Help Center: Managing credits and spend controls in ChatGPT BusinessOfficial documentationhelp.openai.com
  6. OpenAI Help Center: Flexible pricing for the Enterprise, Edu, and Business plansOfficial documentationhelp.openai.com
  7. OpenAI Help Center: About ChatGPT Pro tiersOfficial documentationhelp.openai.com
  8. OpenAI Help Center: What is ChatGPT Enterprise?Official documentationhelp.openai.com
  9. OpenAI: Enterprise privacy at OpenAIOfficial documentationopenai.com
  10. OpenAI Help Center: Data controls in ChatGPTOfficial documentationhelp.openai.com
  11. ChatGPT admin docs: ChatGPT Work usage and costOfficial documentationlearn.chatgpt.com
  12. ChatGPT admin docs: ChatGPT Work overviewOfficial documentationlearn.chatgpt.com
  13. ChatGPT docs: Migrate custom GPTs to pluginsOfficial documentationlearn.chatgpt.com
  14. ChatGPT docs: Codex and ChatGPT Work pricingOfficial documentationlearn.chatgpt.com
  15. ChatGPT docs: ChangelogOfficial documentationlearn.chatgpt.com
  16. Codex docs: ModelsOfficial documentationlearn.chatgpt.com
  17. Center for AI Safety: A Significant Increase in Digital Labor Automation, Remote Labor Index results (Jul 1, 2026)Public sourcesafe.ai
  18. NBER: Still Waters, Rapid Currents, Early Labor Market Transformation under Generative AI, Working Paper 33777 (Humlum and Vestergaard, revised Mar 2026)Public sourcenber.org