A chatbot that closes 6 of every 10 tickets.
In every language your customers actually use.
A multilingual support agent that handles tier-1 questions on its own, order tracking, returns, FAQs, account help, in the customer's own language. Connected to your stack so it answers from real data. Human handoff with full context when it should.
Your customers don't care that you're busy.
Inbox backlogs. Repeat questions. Customers writing in five languages. The only thing that scales is a system that handles the predictable so the team handles the rest.
Repeat questions, every day
60–80% of inbound is the same handful of questions: where's my order, how do I return it, what's your policy.
Multilingual customers, monolingual team
Inbound in English, Arabic, Hindi, Urdu, Tagalog, French. Translation lag and quality both kill response time.
VIPs and complaints get buried
The high-stakes message sits in the queue behind 40 'where's my order' tickets. Sentiment doesn't surface in time.
Old chatbots make it worse
Rule-based bots that answer 'I don't understand' three times in a row are worse than no bot. Customers want out.
What a real support agent looks like.
Not a generic Intercom add-on. A bespoke agent trained on your business, your products, policies, customers, past tickets, wired into the systems that hold the answers.
Multilingual by default
Detects the customer's language, replies natively. English, Arabic, Hindi, Urdu, Tagalog, French, Spanish, Mandarin and more. Tone matches your brand voice in every language.
- ·Native-quality replies in 30+ languages out of the box
- ·RTL handling for Arabic and Hebrew
- ·Cultural tone adjustments, Gulf Arabic vs MSA, formal vs casual
- ·Falls back to human handoff when confidence drops
Multi-channel, one brain
Web chat, WhatsApp, email, Instagram DM, SMS, same agent, same memory, same brand voice. The customer keeps the conversation across channels.
- ·Web widget, WhatsApp Business API, email, IG, SMS
- ·Conversation history follows the customer across channels
- ·Handles voice notes (transcribed) on WhatsApp
- ·Embeds in Shopify, Odoo, custom storefronts, helpdesks
Connected to your stack
It actually answers questions because it has the data. Order status, stock levels, account history, return eligibility, pulled in real time from your real systems.
- ·Live order lookup from Shopify, Odoo, Magento, custom systems
- ·Account self-service: address changes, password resets, plan changes
- ·Knowledge base: policies, FAQs, product docs
- ·Past ticket context: never asks the customer to repeat themselves
Human handoff, done right
When the bot shouldn't handle it, high value, angry customer, complex case, VIP, it routes to the right human with the full conversation, not a 'restart from scratch.'
- ·Sentiment + escalation triggers (anger, frustration, churn risk)
- ·VIP detection from CRM tags, lifetime value, contract tier
- ·Hands over full transcript, intent, attempted resolutions
- ·Audit log: every escalation, every override, every outcome
How we ship a support agent.
Train
We point the agent at your past tickets, KB, policies, and product docs. It learns your voice and your edge cases.
Wire
We connect Shopify, Odoo, helpdesk, CRM. The agent answers from real data, not from generic web search.
Pilot
Soft launch on one channel, with the team supervising. We tune confidence thresholds and escalation rules in week one.
Scale
Once tickets-resolved-without-human crosses your target, we open the rest of the channels and hand over the runbook.
Support-AI questions we hear most.
Will it sound like a chatbot?+
No, if we do our job. We train it on your brand voice, real past replies, and tone guidelines. Customers usually can't tell. The few who ask get told the truth.
What happens when it gets something wrong?+
Confidence-thresholded handoff. Below a confidence score we set with you, it escalates rather than guesses. You'd rather a 30-second wait than a wrong answer.
Does it work with my helpdesk?+
Yes. Native integrations with Zendesk, Intercom, Front, Freshdesk, HelpScout, Crisp, and most helpdesks via API. Plus standalone web/WhatsApp deployment.
How long until it pays for itself?+
First-pass deflection (the percentage of tickets it closes alone) usually lands at 50–60% in month one and climbs. ROI is fastest in support, the work is high-volume and pattern-heavy.
Can it handle returns and refunds?+
Yes, end-to-end if your policy is rule-based. Customer asks for a refund → bot checks order, eligibility, payment method → issues the refund or escalates if outside policy. Full audit log.
Pick a support volume your team can't catch up to.
Send us a week of your inbound. We'll come back with the deflection rate we'd expect in month one and a build plan, in writing.