Software
ChatGPT Business Consulting
A sanctioned workspace with clear rules beats an unofficial one nobody admits to using.
We configure the business workspace, set data-retention and training controls, build custom GPTs for the tasks each department repeats, publish an acceptable-use policy in plain language, and train by role. Usage is then measured so the licence count matches the reality rather than the launch enthusiasm.
- 01
Workspace and data-control configuration
- 02
Custom GPTs for departmental tasks
- 03
Acceptable-use policy and staff communication
- 04
Role-based training and prompt libraries
- 05
Usage measurement and licence right-sizing
FAQ
Is client data safe in a business workspace?
Business tiers offer data controls consumer accounts do not, but policy still matters: we define what categories of information may be entered at all.
What are custom GPTs useful for?
Recurring, structured tasks — proposal drafting, meeting summaries, policy questions — where a consistent instruction set beats improvised prompting.
Should we build instead on the API?
Once a workflow is stable and high-volume, an API-based build usually costs less and integrates properly with your systems.
OpenAI Integration
Model calls are the easy part; evaluation, cost control and failure behaviour are the engagement.
Internal AI Assistant
One assistant for the whole team, with each person seeing only what their role allows.
AI Training
Training built on your documents, your workflows and your compliance rules — not on generic prompt lists.