Deflection, escalation, and omnichannel support using knowledge, tools, and MCP—with roadmap connectors for helpdesk stacks.

Customer support & SaaS

Outcomes

Faster first response with grounded answers from policies, FAQs, and product docs.
Consistent handling across WhatsApp, web widget, email-style flows, and social channels.
Clear escalation when the issue needs a human—ticket context preserved.

How WisebotAI fits

Layer	What you use
Knowledge	Upload PDFs, DOCX, help center exports, and crawl your public docs site.
Agents	Separate agents for tier-1 Q&A, billing, and technical depth if needed.
Tools	Search knowledge, escalate, resolve thread, book callbacks via appointments.
Integrations	MCP (Slack for triage, Confluence/Notion for internal runbooks) where enabled.

Example conversations

“Where is my refund?” — RAG over policy docs + order context if you pass it via custom tools or CRM-side webhooks.
“Feature X keeps crashing” — Search known issues; escalate with captured transcript.
“Schedule a call with success” — Book appointment when calendar integration is configured.

Tool calling in practice

The model selects tools per turn—typically search first, then escalate or resolve based on outcome.
MCP tools run in isolated sandboxes on the server side; use them for Slack alerts or doc lookups without exposing raw credentials to the LLM.

When Zendesk, Intercom, Front, or ServiceNow-style connectors ship (see Coming soon connections), you’ll be able to sync tickets, macros, and customer history as first-class sources—today, bridge gaps with MCP, exports to knowledge, or custom HTTP tools.

Compliance note

Do not feed PCI or full PAN into chat; route payments through your payment provider and keep PII out of prompts where possible.

Customer support & SaaS

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