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Use case · Customer support

Customer service AI that actually knows your business

Not a generic chatbot that frustrates customers with canned responses. We build AI support agents grounded in your knowledge base — they read your docs, understand your products, respect your policies, and know when to call a human.

What you get

  • 24/7 AI support on your website, WhatsApp, email, and Slack — grounded in your own knowledge base, not generic training data.
  • Auto-triage every incoming ticket: categorise by type, assess urgency, route to the right team member — before a human even looks at it.
  • AI-drafted replies for support emails and chats in your brand voice, with citations from your docs so customers can verify.
  • Smart escalation: AI handles routine L1 queries, passes complex issues to humans with full conversation context and a suggested resolution.
  • Real-time sentiment tracking and SLA dashboards — know when a customer is frustrated before they tell you.

Typical results

70–80%
of L1 queries resolved without human intervention
<10s
average first-response time (from minutes or hours)
24/7
coverage without hiring night-shift staff
50%+
reduction in average resolution time

How it works

Customer reaches out on any channel

Whether it's a chat widget on your website, a WhatsApp message, an email, or a Slack thread — the message is captured and normalised into your support system.

AI classifies and responds

The AI reads the message, checks the customer's history (past tickets, orders, account status), retrieves relevant knowledge (FAQs, policies, troubleshooting guides), and either resolves the issue directly or drafts a response for your team to review.

Escalation with context

When the AI can't resolve an issue — billing disputes, complex technical problems, or VIP customers — it escalates with a summary of the conversation, the customer's history, and a suggested resolution path.

Continuous improvement

Every resolved ticket feeds back into the knowledge base. Common questions become instant answers. Resolution times drop. Your AI gets smarter with every interaction.

Industry examples

Every business handles support differently. Here's how AI support adapts to different industries.

SaaS & Technology

  • Feature questions answered from product docs with screenshots and links
  • Bug reports auto-classified by severity and routed to the engineering team
  • Onboarding guidance: step-by-step setup help in the chat widget
  • Billing and subscription queries resolved without human intervention

E-commerce

  • Order status, tracking, and delivery estimates answered instantly
  • Return and refund requests processed with policy-compliant auto-approvals
  • Product recommendations based on purchase history and browsing context
  • Sizing, availability, and compatibility questions answered from your catalogue

Healthcare

  • Appointment scheduling, rescheduling, and cancellation via chat
  • Insurance and billing queries answered from your fee schedule and policies
  • Post-visit care instructions delivered and clarified through AI
  • Sensitive topics detected and immediately routed to qualified staff

Financial Services

  • Account balance, transaction history, and statement requests via secure chat
  • Loan application status updates and document requirement checklists
  • Compliance-aware responses — AI never gives financial advice, always cites policy
  • Fraud alerts triaged by severity and routed to the compliance team

Technical details

ChannelsWebsite chat, WhatsApp, email, Slack, Microsoft Teams
AI modelsClaude, Gemini, or GPT — per-task model selection
KnowledgeYour docs, FAQs, policies, product catalogue — RAG-grounded
TicketingZendesk, Freshdesk, Intercom, or custom-built
AnalyticsResolution rate, sentiment, SLA compliance, topic clustering
Delivery2–3 weeks to production

Ready to upgrade your customer service?

We'll audit your current support workflow, identify what the AI can handle, and build a working system in 2–3 weeks.

Book a call