Enterprise-grade privacy
ChatGPT Enterprise uses your prompts and conversations to train OpenAI models — they are isolated to your organisation. No data leaks to the public model, no training on your content.
GPT-4o, no usage caps
ChatGPT Enterprise
ChatGPT Enterprise
from rollout to
Custom GPTs
A hands-on workshop for Swiss organisations adopting ChatGPT Enterprise — covering enterprise security, unlimited GPT-4o, Advanced Data Analysis, Custom GPT deployment and a governance-ready rollout plan.
Duration. Full-day (5 modules, 4 hr).
Delivery. On-site across Switzerland or hybrid.
Audience. Business teams — no coding required.
What you get
What ChatGPT Enterprise unlocks
ChatGPT Enterprise is not just "ChatGPT with a company account." The differences that matter for Swiss corporate teams are below.
Unlimited GPT-4o access
Every user gets unrestricted access to GPT-4o — the most capable reasoning model — without throttling, token limits or fallback to slower models under load.
Unlimited, full-speedAdvanced data analysis
Upload CSVs, Excel files, PDFs and datasets. ChatGPT Enterprise runs Python in a sandboxed environment and returns charts, summaries and calculations within the chat window.
Code Interpreter built-inCustom GPTs for your team
Build internal GPTs preconfigured with your documentation, tone of voice, process guides and policy restrictions. Deploy once; anyone in your organisation can use them without setup.
GPT Builder + internal sharingActions and integrations
Connect your internal tools via OpenAI Actions — CRM, ERP, ticketing systems, databases. Custom GPTs can look up live data, create records and trigger workflows on behalf of the user.
REST API + ActionsAdmin console and SSO
Manage users, roles, domains and usage analytics from a central admin console. Integrate with your existing IdP via SAML SSO and enforce policies organisation-wide.
SAML SSO + analyticsFree vs Plus vs Enterprise
What the enterprise tier actually adds
| Feature | Enterprise | Plus | Free |
|---|---|---|---|
| Privacy | Your data stays isolated — no model training | Opt-out required; sharing settings less controlled | May be used for training by default |
| GPT-4o access | Unlimited, always full-speed | Capped; reverts to GPT-4o mini under load | Limited to GPT-4o mini |
| Code Interpreter | Always on, no cap | Limited runs per period | Not available |
| Custom GPTs | Build + share across organisation | Personal GPTs only | Use public GPTs only |
| Admin console | Full: SSO, usage analytics, policies | None | None |
| Actions / integrations | Custom REST integrations supported | Plugin-based (limited) | Not available |
Workshop agenda
What the day covers
Structured for non-technical business professionals. No coding. No jargon. Every module ends with a real output your team can use starting tomorrow.
Module 1 — What ChatGPT Enterprise actually does
45 minParticipants get a clear and honest picture of ChatGPT Enterprise capabilities: what it can do that the free and Plus tiers cannot, where the security and privacy boundary sits, and what it cannot do (no live internet browsing by default, no magic integrations without setup).
Module 2 — Effective prompting for business tasks
60 minPractical prompt engineering for business professionals — not for developers. How to write prompts that generate first-draft quality output for reports, emails, analysis summaries and structured data tasks. Role-based prompt packs for Finance, Legal, HR and Marketing.
Module 3 — Advanced Data Analysis in practice
45 minHands-on with Code Interpreter using sample datasets. Participants learn to upload files, guide the analysis, interpret outputs and understand where human verification is essential before acting on the results.
Module 4 — Building your first Custom GPT
60 minGuided build of one internal Custom GPT: participants choose a real use case (e.g. HR onboarding Q&A, policy assistant, proposal drafter), write the system prompt, upload relevant documents and test the output quality.
Module 5 — Governance, risk and responsible use
30 minWhat to tell your legal and compliance teams, how to set usage policies, which task categories require human review and how to evaluate whether a Custom GPT is behaving as intended before making it available company-wide.
Agent quality
How to know if your Custom GPT is good enough to deploy
Most teams skip evaluation. They build a Custom GPT, share it, and only discover failure modes when users complain. The workshop covers a practical evaluation discipline borrowed from enterprise agent teams at Microsoft and OpenAI.
Define expected behaviour
Before deploying a custom GPT to your teams, write down what good looks like. What questions should it answer correctly? What should it refuse? What tone and format is expected?
Build a test case set
Create 20–50 representative inputs covering typical use, edge cases and adversarial prompts. Include both questions the GPT should handle and ones it should escalate or decline.
Evaluate quality dimensions
For each test, assess: correctness (is the answer accurate?), groundedness (is it traceable to provided knowledge?), appropriateness (is the tone right?), and refusal precision (does it decline the right things?).
Iterate and re-evaluate
When test scores drop below threshold, adjust system instructions, knowledge files or response examples. Re-run evaluations after each change. This is not a one-time gate — it is a deployment discipline.
Deployment readiness
The checklist before going live
A practical output of the governance module — a deployment-readiness checklist for IT, compliance and the rollout owner to sign off together.
Security posture
- ☑ SAML SSO configured and tested
- ☑ Domain allowlisting in place
- ☑ Conversation log retention policy defined
- ☑ Data residency requirements reviewed with OpenAI
Governance layer
- ☑ Acceptable use policy written and shared
- ☑ Role-based access tiers defined (admin / builder / user)
- ☑ Custom GPT publishing approval process in place
- ☑ Incident response owner named for AI misuse
Adoption layer
- ☑ Champion network identified across departments
- ☑ Role-based quick-start guides distributed
- ☑ Feedback channel open (not just IT helpdesk)
- ☑ Usage analytics baseline captured in admin console
Common questions
Do participants need to have ChatGPT Enterprise licences before attending? +
No. The workshop can run with shared demo accounts or a trial instance. We will advise on the fastest way to provision access for your group beforehand. Some organisations use the workshop to decide whether to invest in the enterprise tier.
How is ChatGPT Enterprise different from using the OpenAI API? +
ChatGPT Enterprise is a finished product — a browser and mobile UI for employees that requires no coding or API access. The OpenAI API is for developers building custom applications. The workshop focuses on ChatGPT Enterprise, but we can include a short comparison section if relevant to your audience.
What is the governance risk if employees are already using ChatGPT free or Plus on personal accounts? +
Significant. Free and Plus accounts may use conversations to improve OpenAI models, employees have no central management, and there is no visibility or policy control. ChatGPT Enterprise closes these gaps. The workshop includes a session specifically on making the case to leadership and compliance for a managed rollout.
Can the workshop include a section on comparing ChatGPT Enterprise to Microsoft Copilot? +
Yes. This is one of the most common requests for Swiss corporate teams already in the Microsoft ecosystem. We can run a dedicated comparison module that helps leadership understand when to use each and how they complement each other.
Let's build your first
Custom GPT together
Swiss corporate teams across finance, legal, pharma and operations. Delivered in English, French or German — in Zurich, Geneva, Lausanne, Basel and Bern.
Also running: Microsoft Copilot · Agentic AI · All programs
Alternate formats
Markdown for LLMs and citations — PDF to share internally.