Ephanti handles routine support automatically across every channel — chat, email, SMS, WhatsApp, and voice — and surfaces the right context for your agents on the cases that need them.
No more switching between a help desk, a chatbot, an email tool, and a phone system. Every conversation — regardless of channel — lands in one workspace, with the customer's full history attached.
Order status, returns, password resets, policy questions — handled end to end without an agent. The cases that genuinely need a human get one, with full context already in place.
Suggested responses, relevant knowledge, and priority signals surface in real time as the agent works — so they spend less time searching and more time resolving.
Four connected steps — from first contact to resolved ticket.
Conversations from chat, email, SMS, WhatsApp, voice, and social arrive in a single queue. Customer history follows across channel switches — so context never resets when a customer moves from email to chat.
Routine requests are handled end to end by AI. When a human is needed, the full conversation context transfers — the customer never has to repeat themselves, and the agent never starts from scratch.
As the agent works, suggested responses and the right knowledge articles surface automatically. Sentiment signals and priority flags bring the conversations that matter most to the top.
Resolved tickets automatically feed and update the knowledge base. Answer accuracy improves over time without a dedicated content team maintaining it manually.
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Suggested: Support resolution flow — customer message → AI Tier-1 → resolve or escalate → agent assist → knowledge base update
Voice, chat, email, SMS, WhatsApp, and social in one workspace — with unified customer history, so agents see the full picture regardless of where the conversation started.
Handles common requests — order status, returns, account questions, policy lookups — end to end, with escalation to a human agent when the case requires it.
Suggested responses, knowledge surfacing, and sentiment detection as conversations unfold — so agents spend time resolving, not searching.
Resolved tickets feed and refresh the knowledge base automatically. Answers stay accurate without a separate team maintaining them.
Resolve in 70+ languages around the clock, with brand voice and policy guardrails maintained in every language and channel.
Same role, same hours — two very different days.
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Suggested: Before/after visual — fragmented support stack (5 tools) vs. Ephanti unified workspace (1 platform)
Where Ephanti covers ground that point tools handle separately.
| Capability | Zendesk | Intercom | Freshdesk | Gorgias | Ephanti |
|---|---|---|---|---|---|
| Voice, chat, email, and messaging unified | Partial (add-ons required) | Chat + email; voice separate | Partial (separate modules) | E-commerce channels only | ✓ All channels, one workspace |
| AI Tier-1 resolution (not just deflection) | Deflection bots only | Fin AI (limited scope) | Deflection only | – | ✓ End-to-end resolution with escalation |
| Real-time agent assist | Suggestions (limited) | Copilot (add-on) | – | – | ✓ Responses, knowledge, and sentiment |
| Self-updating knowledge base | Manual maintenance | Manual maintenance | Manual maintenance | – | ✓ Auto-updated from resolved tickets |
| Cross-channel customer memory | Siloed per channel | Chat + email only | – | – | ✓ Context follows across all channels |
| Human-in-the-loop override | ✓ | ✓ | ✓ | ✓ | ✓ Full agent control at any point |
Most teams replace 3–5 separate tools when they move to Ephanti.
Commonly replaced: Zendesk · Intercom · standalone chatbot · separate email ticketing tool · Gorgias (E-Commerce) · HiJiffy (Hospitality)
Post-purchase support, return and exchange handling, and delivery exception resolution — at the scale online retail demands.
Guest messaging, booking changes, on-property requests, and loyalty enquiries — across every channel your guests use.
Technical support, onboarding assistance, and account questions — with the context your team needs to resolve fast.
Donor enquiries, volunteer coordination, and programme support — handled efficiently so your team focuses on the mission.
Many teams consolidate Zendesk, Intercom, and a standalone bot into Ephanti. Some keep Zendesk for legacy ticketing and layer Ephanti on top for AI resolution and agent assist. Either approach works.
The AI handles common requests end to end — pulling order data, processing returns, answering policy questions. When a case falls outside its scope, it escalates with the full conversation context so the agent never starts from scratch.
Yes. Human-in-the-loop is built in. Agents can override any AI response, take over any conversation mid-flow, and review every action the AI took. Nothing is locked.
70+ languages, around the clock. Brand voice and policy guardrails are maintained in each language — not just translated, but adapted to how your brand sounds in that market.
Book a demo to see how AI resolution, agent assist, and channel unification work for your team.