01. Support & Customer Success
- Product and policy Q&A — answers grounded in documentation with citations, escalating what falls outside its evidence.
- Order and account status — account-aware responses pulling from live order and billing systems rather than generic instructions.
- Troubleshooting guidance — step-by-step help grounded in support articles, with clear escalation when a fix doesn't resolve the issue.
02. Sales & Qualification
- Lead qualification — capturing structured requirements through conversation and scoring fit before a human touches the lead.
- Meeting booking — booking directly into the right calendar based on qualification results, no back-and-forth email.
- Product and pricing questions — grounded answers for prospects that hand off to a rep the moment a question needs judgment.
03. Transactional & Account-Aware
- Scheduling and rescheduling — authenticated changes behind explicit confirmation.
- Plan and subscription changes — upgrades and downgrades processed directly, with confirmation before anything binding happens.
- Returns and refunds — straightforward cases processed automatically against policy, exceptions routed with context attached.
04. Internal Assistants
- HR policy assistants — benefits, leave policy, and procedure questions answered from the actual employee handbook, visibility restricted by role.
- IT support assistants — common technical issues resolved from internal documentation before a ticket is filed.
- Sales enablement assistants — reps getting grounded answers on product, competitive positioning, and pricing without hunting across internal wikis.
See our AI chatbot guide for the architecture behind each of these, and our AI chatbot ROI guide for how to measure results once one is live.
05. Frequently Asked
Which chatbot type should we build first?
A support or FAQ bot, in almost every case. It has the clearest definition of a correct answer, the most existing documentation to ground against, and the fastest path to a measurable quality baseline.
Can one chatbot cover multiple of these categories?
Yes, and most mature deployments do, starting narrow and expanding. A support bot that proves grounded and trustworthy is a natural foundation to add transactional actions or sales qualification on top of, since the retrieval and evaluation infrastructure is already built.
Do internal assistants need the same rigor as customer-facing bots?
Yes, arguably more. Internal assistants often have access to more sensitive systems, HR records, financial data, so the permission scoping and escalation logic matter just as much as for a customer-facing deployment.
Cloudz Computing builds the specific chatbot shape your support, sales, or internal workflow actually needs, not a generic widget.
Explore the AI Chatbots solution →
Request a private consultation