ChatGPT Enterprise

ChatGPT Enterprise
from rollout to
Custom GPTs

A hands-on workshop for Swiss organisations adopting ChatGPT Enterprise: practical workflows, workspace governance, data analysis, GPT configuration and a rollout plan your team can use.

Book this workshop Get a tailored quote

Duration. Full-day (5 modules, 4 hr).

Delivery. On-site across Switzerland or hybrid.

Audience. Business teams, no coding required.

Practical stack

Tools your team will use

Practical tool choices, grounded in the systems your organisation has approved.

ChatGPT Enterprise

Use the tools your organisation has approved, with clear task boundaries.
Workspace GPTs and apps

Turn one live business task into a reusable workflow your team can own.
Admin and governance controls

Verify outputs, protect sensitive information, and keep the final decision human.

Workshop brief

Plan your ChatGPT Enterprise workshop

Tell us about your team, rollout stage and governance priorities.

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.

🔒

Business data controls

By default, OpenAI does not use Enterprise inputs or outputs to train models. Your team learns how workspace settings, retention and internal policy shape safe use.

Managed workspace controls

⚡

Workspace capabilities that matter

Understand the tools available in your managed workspace, how access is configured, and how to choose practical workflows without anchoring training to a volatile model name.

Capability access is configurable

📎

Data analysis and file workflows

Work with sample files, analyse outputs, and build a verification step before anyone acts on a chart, calculation or written recommendation.

File analysis + human review

🧩

Custom 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 sharing

🔗

Apps and approved integrations

Explore how workspace apps and approved integrations can connect work context to ChatGPT, with clear permissions, ownership and review before rollout.

Approved apps + governance

📊

Workspace administration

Plan member access, identity controls, GPT and app governance, and adoption measurement with the people responsible for the workspace.

Admin controls + adoption insights

Free vs Plus vs Enterprise

What a managed workspace adds

Feature	Enterprise	Plus	Free
Data handling	Business data is not used for training by default; workspace settings apply.	Personal settings and plan terms apply.	Personal settings and plan terms apply.
Administration	Central member, identity and workspace controls.	Individual account controls.	Individual account controls.
Tools and access	Capabilities can be enabled and governed for the workspace.	Availability varies by plan and settings.	Availability varies by plan and settings.
Customisation	Governed GPTs, apps and sharing practices for the organisation.	Personal creation and sharing options.	Personal creation and sharing options.

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 min

Participants 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 min

Practical 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 min

Hands-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 min

Guided 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 min

What 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.