Omnichannel AI customer service
Your customers never explain twice.
One AI agent across Email, WhatsApp, Voice, Web/Mobile App and Instagram. It carries the context when they switch channel, remembers them next time, and gets the request done.
Bring your three highest-volume ticket types. We'll show it resolving them on your channels.
- Voice
- Web & app
What makes hiveCell different
Three things that set hiveCell apart.
Each one removes a reason your customers repeat themselves.
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Multichannel isn’t omnichannel.
In a multichannel stack every channel keeps its own memory, so the customer carries the story from one to the next. With hiveCell, one agent holds the whole conversation — whichever channel they switch to.
Email → phone call, nothing repeatedSee how -
A memory for every customer.
The agent learns facts as it goes — city, order, preferred channel, verified identity — and keeps them in that customer’s cell. The next conversation, even months later, starts where the last one ended.
Confirmed, never asked twiceSee how -
Resolves, doesn’t reply.
It doesn’t send a link to the refund policy. It issues the refund — inside the conversation, within limits you set, after the customer proves it’s them. Same for deliveries, accounts and bookings.
Refunds · deliveries · accounts · bookingsSee how
The test: can your customer start on email, finish on a call, and come back next month — without repeating a word?
The problem
Your customers repeat themselves. You pay for it.
Watch one simple question travel through a typical support stack.
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“Where's my order?”
Searches your help centre
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“Where's my order?”
Bot sends a tracking link
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“As I explained before…”
Retells the whole story. Waits.
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“WHERE is my order?!”
A human starts from zero
9%
of customers get their issue fully solved in self-service
Gartner, study of 8,000 customer journeys
70%
start in self-service — then give up and switch channels
Gartner
$8
every time a person picks it up — vs ~$0.10 in self-service
Gartner, industry benchmark
01 · Multichannel isn’t omnichannel
The customer switches channel. The context comes with them.
Putting every channel in one inbox helps your agents. It doesn’t stop the customer starting over.
Today · Multichannel
Five channels. Five separate memories.
The customer carries the context from channel to channel.
hiveCell · Omnichannel
Five channels. One agent. One memory.
The agent carries the context — and completes the request.
01 · In practice
One customer. Two channels. Zero repetition.
An illustrative conversation. She emails at night, then calls in the morning — and the agent already knows.
“Order #4821 was due yesterday and still hasn't arrived. Where is it?”
“It's held up at our Bengaluru hub. I can move delivery to Saturday — reply yes, or call us any time and we'll pick up right here.”
“Hi, I emailed last night about my order — it still hasn't come.”
“Yes — the delayed order to Bengaluru. Shall I move it to Saturday, same address?”
“Yes please.”
02 · A memory for every customer
It remembers, so they never explain twice.
One customer's cell, over time
- city
- order history
- preferred channel
- language
- verified identity
Without memory
“Can I take your order ID again, please?”
With hiveCell
“Still about the delayed order to Bengaluru?”
03 · Resolves, doesn’t reply
Stop replying. Start resolving.
Real examples of requests completed inside the conversation — on whichever channel the customer chose.
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Refunds
Issued on the spot — within limits you set.
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Deliveries
Rescheduled and confirmed on the same thread.
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Account details
Updated — after the customer proves it's them.
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Subscriptions
Upgraded, paused or cancelled — your rules apply.
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Orders
Tracked, fixed, rerouted — not just linked.
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Appointments
Booked and moved on your real calendar.
Your systems define exactly what it may do — nothing more. Every action is verified and logged.
A reply
“Here’s our refund policy — you can request one through this link.”
A resolution
“Done — ₹1,240 is on its way back to your card. Three to five days.”
Trust & control
Powerful — but never out of your control.
It checks who it's talking to
Anything sensitive waits until the customer proves it's really them — for example with a one-time passcode(OTP).
It has limits it cannot cross
Spending ceilings, forbidden topics, required wording — enforced by configuration, not by asking nicely.
Everything is on record
Every action, check and decision is logged against the conversation — ready for review or audit.
When a person is needed, they get the full story
The complete conversation, the facts learned, the actions already taken — and one line on why it escalated. When the person is done, the agent picks the relationship back up. Customers never start over.
Always improving
Better every month. Tested before every release.
Misses become fixes your team approves — and no new version ships until it passes every case it has ever handled.
The improvement loop
Fuel: unanswered questions, poor ratings, hand-offs to humans, abandoned requests.
Resolved without your team
Automated ticket types resolved end-to-end. Target trajectory for a scoped pilot — not a measured result.
Tested before it ships
Before any new version goes live, it re-runs every case it has ever handled — so a fix for one issue can't quietly break ten working ones.
- Refund flowpass
- Delivery reschedulepass
- Identity checkpass
- Tone & wordingpass
All past cases pass → release approved
Fits your stack
No migration. Live in three days.
hiveCell sits in front of what you already run. Nothing is replaced, re-provisioned or frozen.
Your helpdesk
Zendesk · Freshdesk · Salesforce · IntercomTickets, SLAs and reporting stay exactly where they are.
Your channels
WhatsApp Business · Twilio · Meta · your inboxesBring your own numbers and accounts. Nothing re-provisioned.
Your systems
Shopify · SAP · Stripe · your own toolsThe agent plugs into them to take action — safely and with permission.
Your knowledge
Notion · Confluence · Drive · past ticketsPolicies and help articles stay yours, where they already live.
Why three days is enough
It studies your tickets. Then builds itself.
No workshops, no flow-mapping, no training project. Your last 30 days of conversations are the blueprint.
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DAY 1
Connect
Your helpdesk, channels and systems plug in — read-only to start.
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DAY 2
Build
It studies your last 30 days of conversations and drafts the whole agent — who handles what, how each job gets done, when to hand off, what it may never do.
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DAY 3
Review & go live
Your team edits and approves everything. It's replayed against your own past cases. Your first channel goes live.
Day one for your customers isn't day one for the agent — it has already handled a month of your tickets.
Next step
See it resolve your tickets. Thirty minutes.
The fastest way to judge hiveCell isn't a longer page — it's watching it work on your own tickets.
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You pick your three highest-volume ticket types.
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We connect the agent to the systems behind them.
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You watch it resolve them end-to-end, on your channels.
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We agree the success metric before any pilot starts.
What good looks like
80%
of common issues resolved without your team
Gartner forecast for AI service, 2029
30%
lower service operating costs
Gartner, same forecast
3 days
from kickoff to your first live channel — our commitment, not an industry average
Book a working session
Thirty minutes, your tickets, your channels. Or write to hello@hivecell.ai.
Questions buyers ask