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AI Customer Service Automation

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.

70%
support workload cut
Book a Free Strategy Call
An n8n workflow Crownbot runs in production
The cost of doing nothing

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.

70%
of that workload, removed

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.

  1. AI Support Inbox Triage

    Classifies every support email or message, drafts a reply in the founder's voice, and only interrupts a person for edge cases, so a small team can run support without a dedicated hire.

  2. Review & Reputation Guard

    Monitors reviews, drafts on-brand responses for approval and escalates low ratings instantly, taking on the chore every owner defers.

  3. Customer Onboarding Sequencer

    Runs the welcome flow, document collection and kickoff scheduling for every new client automatically, so onboarding is consistent instead of ad hoc.

  4. Churn-Risk & Win-Back

    Flags customers with no activity in a set number of days and drafts a personal check-in or offer, catching revenue that would otherwise lapse unnoticed.

  5. NPS / Satisfaction Pulse

    Runs a scheduled satisfaction survey where detractors trigger an urgent alert and promoters feed the referral and testimonial agents, surfacing unhappy clients before they churn.

  6. WhatsApp/Telegram Order Bot

    Takes orders conversationally for a small retailer or restaurant and logs them automatically, capturing trade outside staffed hours without hiring anyone.

The proof, in this domain

Mayank Enterprises

International · India

Staff spent half of every day answering the same questions about stock and delivery, and customers still waited up to 90 minutes for a reply.

70%

support workload cut

Time to first reply
45–90 minunder 30 sec

"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."

Mayank Singh, Founder, Mayank Enterprises
Read the full build

What changes

  • 65% of support queries resolved with no staff involvement, cutting total support workload by 70%
  • Order-status and account questions answered instantly from live systems, not memory
  • Returns and refunds handled end-to-end without a person in the loop
  • Negative sentiment flagged before it becomes a complaint, and satisfaction tracked automatically after every interaction
  • 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.
AI Customer Service Automation

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.

Free Strategy Call

Book a free strategy call

Pick a time that suits you. Forty-five minutes to work out where automation would actually pay off, and what it would cost to build.

45 minutes · Free · No commitment

Pick a time that suits you

You will speak to Prakhar, who builds these systems, not a salesperson. Choose a slot and the calendar invite arrives straight away.

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What happens on the call

  • 45 minutes with Prakhar, our founder, not a salesperson.
  • You leave with a costed ROI forecast and a recommended build.
  • No commitment. If it would not pay for itself, we will say so.

No commitment on this call. Fixed price agreed before we start. Half up front, half when it is live and working.

Your records stay in your own systems: your calendar, your CRM, your database. AI processes what passes through and retains nothing between requests, and everything runs on commercial API contracts where your data is never used to train public models.