Turn a business question into an AI-assisted recommendation that you can explain, check and own.
Enquire about this courseSchedule, delivery language and trainer assignment are confirmed before booking.
A decision brief with a verified evidence trail.
Prioritize an AI use case around a specific business decision.
Check a generated recommendation against supplied business records.
Define the human review and approval required before action.
Clear concepts, practical tasks and a useful next step. The final agenda is tailored to your learners.
Frame the question, identify its owner and separate useful evidence from assumptions.
Practise prompts using synthetic business records and explain the desired output.
Check figures, dates and source references; identify unsupported claims and missing context.
Present a checked recommendation and a small pilot with an owner and review date.
Review a synthetic management report, critique a trainer-provided AI recommendation and create a checked decision brief. A GateERP report is used as the business evidence example; AI-to-ERP automation is not assumed.
Practice uses synthetic or appropriately de-identified examples. System labs require a prepared environment and trainer rehearsal; process rehearsal is used when system access is not yet ready.
Clarify the business question and evidence needed before selecting an AI use case.
See the 24-month journey ↗Explore each profile and their other proposed courses. Delivery assignments are confirmed for your engagement.
Chairman & Co-Founder · Codingate Technology, GateWisdom & GateKhmer.ai
Begin with a real business question, trace the workflow and practise with synthetic data. Review the evidence before deciding what belongs in the workplace.
Profile & coursesCreate useful everyday outputs while protecting information and retaining human judgment.
An enquiry starts a conversation. It does not confirm a seat, class date or purchase.
