Ticket |
Question / Feedback |
Module |
Asked By |
Status |
Last Activity |
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|---|---|---|---|---|---|---|
| HMX-QA/2026/0012 | How should project team explain AI Approval Suggestion to clients? | Workflow | Project Team ID | Product Answered | 07/07/2026 10:45 | |
| HMX-QA/2026/0011 | Need simple comparison between HMX and HM1 for onboarding. | General | L&D Indonesia | FAQ Candidate | 07/07/2026 09:30 | |
| HMX-QA/2026/0010 | Can implementation consultants customize AI-generated reports? | Reporting | Project Team SG | Need Product | 06/07/2026 16:20 | |
| HMX-QA/2026/0009 | What is the recommended demo flow for inventory AI forecast? | Inventory | Project Team MY | Product Answered | 06/07/2026 14:05 | |
| HMX-QA/2026/0008 | Please add clearer training notes for role-based access setup. | Settings | Project Team PH | Open Feedback | 05/07/2026 17:12 | |
| HMX-QA/2026/0007 | Clarify what data is needed before AI forecasting can work. | Sales | Project Team TH | FAQ Candidate | 05/07/2026 11:40 |
Selected Thread
How should project team explain AI Approval Suggestion to clients?
During HMX training, consultants asked for a client-friendly explanation that does not sound too technical, especially for approval flow demos.
Position it as decision support. HMX reviews transaction context, company policy, budget availability, and past approval patterns, then suggests the safest next action. The approver still makes the final decision.
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AI-Generated FAQ Draft
Q: Is HMX AI replacing approvers? A: No. HMX AI supports approvers with context and recommendations, while final authority stays with the assigned user.
Q: What should consultants prepare before showing AI forecasting? A: Bring sample transaction history, item master data, lead time, and business rules so the forecast story feels realistic.