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
ChatGPT Enterprise ChatGPT Enterprise
from rollout to
Custom GPTs
A hands-on workshop for Austrian organisations adopting ChatGPT Enterprise: practical workflows, workspace governance, data analysis, GPT configuration and a rollout plan your team can use.
Duration. Full-day (5 modules, 4 hr).
Delivery. On-site across Austria 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.
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ChatGPT Enterprise
Use the tools your organisation has approved, with clear task boundaries.
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Workspace GPTs and apps
Turn one live business task into a reusable workflow your team can own.
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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 Austrian corporate teams are below.
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 configurableData 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 reviewCustom 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 sharingApps 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 + governanceWorkspace administration
Plan member access, identity controls, GPT and app governance, and adoption measurement with the people responsible for the workspace.
Admin controls + adoption insightsFree 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 minParticipants get a clear picture of ChatGPT Enterprise capabilities, workspace controls, privacy boundaries and the setup required for connectors, internal GPTs and governed integrations.
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. We can use guided demonstrations while your organisation confirms participant access in an approved workspace. We do not use shared credentials. Available exercises are adapted to the capabilities and administrator settings enabled for your group.
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? +
The key difference is organisational control. Business data in ChatGPT Enterprise is not used to train OpenAI models by default, while personal-workspace users manage their own data controls. Enterprise also adds central administration, identity, access and governance capabilities. Exact features depend on the current workspace configuration and agreement.
Can the workshop include a section on comparing ChatGPT Enterprise to Microsoft Copilot? +
Yes. This is one of the most common requests for Austrian 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
Austrian corporate teams across finance, legal, pharma and operations. Delivered in English, in Zurich, Geneva, Lausanne, Basel and Bern.
Also running: Microsoft Copilot · Agentic AI · All programs
{ AI } · Alternate formats
Markdown for LLMs and citations, PDF to share internally.