70% of your support tickets have the same 20 answers. AI handles them instantly.

AI support agents that resolve tickets in seconds across chat, email, and phone. Order tracking, returns, FAQs, troubleshooting. Your customers get instant answers. Your team handles the cases that actually need a human.

Why AI Customer Support is harder than it looks.

Ticket volume scales linearly with revenue

Every new customer means more tickets. Every order spike means more 'where's my package?' Every product launch means more questions. You can't hire fast enough to keep up, and response time directly correlates with customer lifetime value.

Customers expect instant answers and you're delivering hours

Amazon trained everyone to expect immediate responses. Your average response time is 4-12 hours. Every hour a ticket sits unanswered, satisfaction drops and the likelihood of a negative review doubles.

Support agents spend most of their time on repetitive work

80% of tickets fall into the same 20 categories. Order status, return requests, sizing questions, password resets. Your skilled support team is copy-pasting the same answers instead of handling complex cases that need real problem-solving.

Scaling support means hiring, training, and managing more people

Every new support agent takes 2-4 weeks to train. Turnover in support roles runs 30-40% annually. You're constantly recruiting, training, and losing institutional knowledge. AI scales instantly with zero ramp-up time.

Simple to deploy. Powerful in practice.

01

Learn Your Business

We train AI on your product catalog, help docs, past ticket data, return policies, and brand voice. The AI learns how your best agents handle every type of question.

02

Deploy Across Channels

AI goes live on chat, email, and phone simultaneously. It handles tickets end-to-end — not just suggesting answers, but actually resolving issues, processing returns, updating orders.

03

Escalate Intelligently

Complex, sensitive, or high-value cases route to your human team with full context. No 'can you repeat that?' Your agents see the entire conversation and jump in seamlessly.

Where AI Customer Support creates the most value.

E-commerce · DTC Brand ($8M/year)

From 20-person support team to 8 — handling 3x the volume

A DTC brand was drowning in 2,000+ tickets per week with a 14-hour average response time. We deployed AI support agents across chat and email that handle order tracking, returns, and product questions instantly. The human team now focuses exclusively on complex cases and VIP customers. Response time dropped to under 30 seconds.

70%
Tickets auto-resolved
<30s
Average response time (from 14hrs)

Common questions about ai customer support.

How is this different from a basic chatbot?+

Basic chatbots match keywords to canned responses. AI support agents understand context, remember conversation history, process actions (refunds, order changes, bookings), and handle multi-step problems. They don't just answer questions — they resolve issues end-to-end.

What happens when the AI can't handle something?+

It escalates to your human team with the full conversation context, customer history, and a suggested resolution. The handoff is seamless — the customer doesn't have to repeat anything. You define exactly which scenarios trigger escalation.

Can AI match our brand voice and tone?+

Yes. We train the AI on your existing support responses, style guides, and brand voice. If your brand is casual and friendly, the AI is casual and friendly. If it's professional and formal, so is the AI. It's indistinguishable from your best human agents.

How quickly can we go live?+

Most deployments go live within 2-3 weeks. Week 1: training on your data and configuring integrations. Week 2: testing and refinement with your team. Week 3: gradual rollout starting with easy ticket categories and expanding from there.

What channels does it support?+

Chat (website, app, WhatsApp, Facebook Messenger), email, and phone. All channels share context — if a customer starts on chat and follows up by email, the AI knows the full history.

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