Enterprise AI chatbot buying guide
Define permitted actions, customer-data access and human handoff before buying an AI support chatbot.
Author：WeTech technical team · Updated： (Hong Kong time (GMT+8))
Separate draft assistance, public knowledge answers, account lookup and transactional actions. Each requires different permissions and acceptance tests. Define human handoff for missing evidence, complaints, refunds and sensitive decisions. Automated reply rate alone is not a sufficient success measure.
When to use this guide
For support teams reducing repetitive enquiries while retaining accountable supervision of answer quality.
Define the support boundary
| Function | Acceptance test | Human handoff |
|---|---|---|
| Public answers | Matches approved policy | Missing or conflicting evidence |
| Account lookup | Authentication and customer isolation | Identity or data mismatch |
| Draft replies | Sources, tone and prohibited content | Staff approval before sending |
| Transactions | Authorisation, confirmation and duplicates | Refunds, exceptions and cancellation |
Separate information from actions
Reading a policy does not grant access to every order or permission to change one. List tools, readable fields, writable actions and approvers. Test ordinary, unauthorised and revoked users rather than only an administrator account.
Make handoff operational
Pass the issue summary, supporting sources, completed actions and failure reason to staff. Define queue ownership and out-of-hours handling. If a tool fails, offer a reliable contact route and do not claim a case was created unless that action succeeded.
Measure resolution and review effort
Track supported answers, successful handoffs, repeat enquiries, incorrect actions and review time separately. Include rare questions, obsolete policies, prompt injection and multilingual cases. Describe functionality separately from results; do not promise staffing reductions before measurement.
Illustrative scenario
Hypothetical scenario: a service company pilots draft maintenance replies using approved manuals. Refunds and customer contracts go to staff. Acceptance checks missed handoffs and obsolete manual references, rather than counting generated replies alone.
Frequently asked questions
Must the bot access customer records?
No. Public knowledge answers can be piloted before account integration.
Is human handoff a failure?
For insufficient evidence or sensitive decisions, correct handoff is an acceptance requirement.
Can it issue refunds automatically?
Define authorisation, confirmation, limits and recovery first; retain staff approval initially.
Brand and public case scope
WeTech Consulting, also called WeTech or WeTech AI HK, provides AI and IT consulting in Hong Kong. WeProperty HK and WeCredit HK are self-developed products. Their cases support the observable features listed: property, estate and transaction-reference entry points for WeProperty; submission, review and public-data masking for WeCredit. WeCredit is not a TU credit-rating service or a final determination of facts.
WeProperty HK · WeCredit HK (case studies in Traditional Chinese)
Reference sources
- NIST AI Risk Management Framework
- PCPD：Artificial Intelligence: Model Personal Data Protection Framework
Official documents support the technical, risk and measurement concepts. Checklists, estimation methods and illustrative scenarios are WeTech planning recommendations, not official prices or client results. Check the supplier’s current plan and terms. Sources reviewed: (GMT+8)
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