Half the working day spent answering the same three questions.
AI agents that resolve support instantly and free your team for what needs them
AI resolves 65% of support queries with no staff involvement and hands the rest to a person with full context attached, so the team stops spending its day on repetitive questions.
The admin is not free. You are just not invoicing for it.
Is it in stock, where is my order, can I return it. Asked in the middle of serving someone else, answered 45 minutes later, and unanswered entirely outside opening hours, which is when a good share of them arrive.
What we actually build for AI customer service automation
Specific jobs, not capabilities. If one of these is a fight you have had this month, it is the one to start with.
Tier-one questions and FAQs
Common questions resolved instantly over chat or WhatsApp from your own knowledge base, escalating only what it genuinely cannot answer.
Order-status lookups
"Where is my order" answered in the thread from the order system itself, with no person in the loop.
Returns and refunds
Eligibility checked against policy, the return logged, the label issued and the customer told what happens next, end to end.
Escalation with full context
Anything unresolved handed to a human with the whole conversation attached, so the customer never repeats themselves.
Multilingual replies
The customer's language detected on the first message and the whole conversation handled in it, with no separate queue to staff.
Post-delivery review requests
Triggered by the delivery event rather than a guess at when the parcel arrived, which is the difference between a review and an annoyance.
Mayank Enterprises
International · IndiaStaff spent half of every day answering the same questions about stock and delivery, and customers still waited up to 90 minutes for a reply.
support workload cut
Read the full build"Our team used to spend half the day answering repetitive stock and delivery queries. The WhatsApp engine now handles nearly 70% of customer chats automatically."
What changes
- 65% of support queries resolved with no staff involvement, cutting total support workload by 70%
- Order-status, stock and delivery questions answered instantly from live systems, not memory
- Returns and refunds handled end-to-end without a person in the loop
- 24/7 multilingual cover across WhatsApp, web chat and voice
- Anything unresolved escalated to a person with full conversation context, so nobody repeats themselves
Who it is for
- Retailers and order-driven businesses
- Stock, order-status and returns questions answered from live systems around the clock, cutting support workload without cutting the team.
- Subscription and service businesses
- Billing queries, churn-risk signals and renewal questions handled the same way every time, at any volume.
- Any business with a support inbox that never empties
- The repetitive half of the queue is answered instantly, so the team only sees what genuinely needs a person.
What teams building this ask
The questions that come up for this domain and nowhere else.
What stops the AI giving a customer the wrong stock or delivery answer?
It does not hold its own copy of the answer. Stock and order questions are resolved by querying your inventory and order systems at the moment of the reply, and anything outside that scope is escalated rather than guessed at. The electronics retailer we built for resolves 65% of queries this way with no staff involvement.
Can it work across WhatsApp, email and live chat at once?
Yes, and that is usually the point. One agent handles every channel with the same product knowledge and the same escalation rules, so a customer gets the same answer wherever they ask and your team works from one queue instead of four.
How long before it is handling real customers?
A typical support build is live in two to three weeks. It starts in a supervised mode where a person releases replies, which is how the knowledge gaps get found, and moves to answering directly once its accuracy on your real traffic is proven.
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