Email, web chat, WhatsApp, phone, SMS and the customer portal — all answered by the same AI, from the same knowledge base, on the same ticket, with the same SLA clock running. When AI can answer, it answers in seconds. When it can't, the ticket is classified, routed and waiting.
The agent on chat doesn't see the email thread. The phone queue knows nothing about the WhatsApp. The website bot doesn't know the customer placed an order yesterday. And every channel has its own AI vendor's invoice.
Response365 makes the six channels six entry points into one system — and answers as much as it can without ever waking a human.
A complete customer-service automation platform, in the same product as your CRM, sales, accounting and production.
Email, chat, WhatsApp, phone, SMS and portal submissions are all the same ticket row — same queue, same SLA, same AI suggestion, however the customer arrived.
Every AI reply carries a confidence score and an auto-replied flag. Token cost is logged per session, per customer. The auditor sees what AI said; the CFO sees what it cost.
Not a callback form, not an IVR prompt-tree — a real-time conversational voice agent that can hold a call, look up an order and book a callback if it can't.
A ticket isn't a row in a helpdesk. It's the operational record of a customer interaction, with every automation hook the platform needs.
Each channel is a first-class module — not a vendor pixel and not a one-way webhook.
Microsoft Graph pulls inbound mail directly — threading preserved, attachments stored, replies sent back in the same conversation.
An embeddable widget with its own backend — per-tenant config, persisted sessions, full message history and engagement analytics.
Two-way sync with media handling — images, documents and voice notes. The agent answers in the ticket; the customer sees a WhatsApp reply.
A full contact-centre module — call queues, IVR menus, recording, agent profiles and dispositions, before AI even joins the call.
Outbound confirmations and replies through the same Twilio integration that powers the voice channel.
Self-service for orders, invoices, payments and tickets — with 25+ granular permission flags so customers see exactly what their account allows.
What most teams have a person do every morning, the AI does on arrival — and it drafts the reply too.
A real-time voice-agent runtime that can hold a conversation, look up an order, and book a callback if it can't.
In most companies the knowledge base is a graveyard. Here it's a flywheel — knowledge accrues with every resolution.
A complete SLA layer and a workflow engine — in the same module as the ticket.
Tickets, calls, chats and portal logins all link to the same customer the CRM, sales and accounting modules use.
| Capability | Best-of-breed stack | Response365 Customer Service |
|---|---|---|
| Helpdesk / ticketing | $20–80/agent/mo | Included |
| Live chat + chatbot | $15–50/agent/mo | Included |
| Voice AI / contact centre | $50–200/agent/mo + per-minute | Included |
| WhatsApp Business integration | Per-message fee + setup | Included |
| Knowledge base | Separate subscription | Included, auto-populating |
| Customer self-service portal | Add-on or separate product | Included, granular permissions |
| AI cost transparency | Hidden in the vendor invoice | Per-session token logging |
| Multi-language voice | Limited or extra | Native, multi-STT-provider |
| One ticket across all channels | No — channel silos | Yes — one ticket model |
The conservative annual case for a 25-agent customer-service team.
Retire Zendesk or Freshdesk — ticketing is included.
No CCaaS per-agent and per-minute billing.
Auto-classification, AI suggested replies and KB reuse — 30 min/agent/day.
Before the chatbot and knowledge-base subscriptions, the integration tax, and avoided SLA penalties and churn.
Let us show you in six minutes how a phone call becomes a transcript, a ticket, an SMS reply, a knowledge-base entry and the next chatbot answer — without anyone retyping anything.