ChatGPT Enterprise Training for Leadership & Strategy
Hands-on ChatGPT Enterprise training for leadership & strategy teams, delivered onsite in Singapore on your own files. Decision briefs, AI opportunity assessment, Governance and adoption.
ChatGPT Enterprise for leadership & strategy teams
Leadership teams are usually the ones deciding what a custom GPT is allowed to do. This programme builds one, then works through the governance questions that decision raises.
Where the work happens
- File analysis
- Custom GPTs
- Projects
- Canvas
The distinguishing exercise is building a custom GPT on your own files that a whole team can reuse, plus the verification standards that keep its answers trustworthy.
Who this programme is for
Executives, department heads and transformation leads. Teams building shared internal tools.
What the day covers
Module 1: Decision briefs
Decision briefs are synthesised from uploaded reports, with alternatives and evidence gaps drawn out.
Exercise. Synthesize approved reports into a decision brief with alternatives, evidence gaps and questions for the team.
What you leave with. An executive briefing template and evidence checklist.
Module 2: AI opportunity assessment
Candidate use cases are compared by effort, value, data readiness and review requirement.
Exercise. Map team workflows and compare candidate use cases by effort, value, data readiness and review requirements.
What you leave with. A prioritised opportunity shortlist with measurable pilot criteria.
Module 3: Governance and adoption
Acceptable use, ownership and approval points are written into a custom GPT's own instructions as a worked example of policy-as-configuration.
Exercise. Define ownership, acceptable use, human approval points and a practical adoption plan.
What you leave with. A governance checklist and 30-day team adoption plan.
What this day does not cover
Scope is agreed before the session so the day stays hands-on.
- API work, function calling or anything that requires writing code. This is a day for the people doing the business task.
- Admin configuration, workspace provisioning or SSO setup.
- Fine-tuning. The programme builds custom GPTs on your own files, which is a different thing and the one most teams actually need.
Questions about ChatGPT Enterprise for leadership & strategy
Who should own a custom GPT once it exists?
A named person, which is the point the third module makes concrete. The exercise writes acceptable use, ownership and approval points into the assistant's own instructions, so the policy lives where the work happens.