AI Customer Support
AI triage, classification, and resolution across every channel — email, chat, and WhatsApp. High-value cases escalated instantly with full context. Common issues resolved automatically. Your support team focuses on relationships, not repetition.
Why Support Teams Stay Overwhelmed
Ticket volume grows with the business. Headcount can't keep pace. The result is longer queues, worse CSAT, and a burnt-out team solving the same five problems on repeat.
WISMO, refund requests, password resets, account changes, billing questions. The same queries answered by hand, every day, by people capable of far more complex work.
The average support team responds in 4+ hours. Customers expect answers in minutes. Every hour of delay increases the probability of escalation, churn, and negative review.
Enterprise customer and high-LTV account tickets sit in the same queue as low-value enquiries. No intelligent triage means your most important customers wait longest.
Every resolution is a one-time event. Patterns across thousands of tickets — common root causes, product confusion, billing friction — go unanalysed and unreported.
Not just deflected — actually resolved. When the AI has access to live order data, account history, and your resolution knowledge base, it answers the real question and closes the ticket.
What AI Customer Support Actually Does
A multi-layer triage and resolution system — not a chatbot. Works across email, live chat, and WhatsApp with the same intelligence.
Ticket received via any channel. Customer account data pulled from CRM automatically.
Topic, severity, sentiment, and account tier classified in under 3 seconds. Urgency flags set.
Resolution drafted from knowledge base + live data. QA score calculated. High scores auto-send.
Low-confidence or complex tickets routed to the right agent with full context pre-populated.
CSAT auto-requested. Resolution patterns analysed weekly. Product insights surfaced to team leads.
Email, live chat, WhatsApp, and in-app — one AI triage layer across all channels, consistent quality everywhere.
Enterprise accounts and high-LTV customers flagged immediately. SLA clock tracks to the second.
Checks order status, account details, and subscription data in real time — resolves issues, not just answers questions.
Weekly digest of resolution patterns, top issue categories, and friction points — actionable product insights from support data.
What Support Teams Actually Automate
All use cases live in production. Metrics are 90-day averages.
WISMO, return requests, refund status, and tracking queries resolved automatically via Shopify API. Returns routed through Loop with prepaid label generated. Complex complaints escalated to agent with full order history.
Bug reports, billing queries, feature questions, and account issues classified in 3 seconds. Common bugs matched to known fixes from knowledge base. Billing queries resolved via Stripe API. True bugs escalated to engineering with full reproduction context.
Appointment queries, prescription questions, and result requests handled via HIPAA-aware pipeline. Booking changes made directly in scheduling system. Clinical questions escalated to care team with full patient context.
All resolved tickets analysed weekly for patterns. Top issue categories, sentiment trends, and product friction points summarised by Claude AI and delivered to product and CS leadership every Monday.
AI Customer Support Results
Aggregated from 90+ support automation deployments. Measured 90 days post-launch.
Where AI Support Automation Delivers Most
By use case, 90-day average across active clients.
Average ROI across all client types
Everything Included in AI Customer Support
Full triage system delivered — from knowledge base build to ongoing resolution optimisation.
Every workflow, configuration, and script is yours — with full documentation and Loom walkthroughs. Zero lock-in
No — if the prompt engineering is done correctly. We extract your brand voice during setup, analyse your best-performing past responses, and engineer prompts that match your tone precisely. Customers regularly reply to AI-generated responses without realising they weren't written by a human.
We use a QA scoring layer before any ticket auto-sends. Responses below the quality threshold route to human review. Across deployments, auto-resolved tickets have a lower re-open rate than human-handled tickets — because the AI checks its own answer against the resolution criteria before sending.
The triage layer classifies ticket complexity alongside topic. Anything above the complexity threshold, any sentiment flag, or any high-value account ticket routes immediately to a human — with the full ticket context, account history, and AI's partial reasoning already attached.
Yes. The underlying models support 50+ languages natively. We've deployed multilingual support systems for clients with EU and APAC customer bases. Language detection is automatic — the bot responds in the customer's language without configuration per language.
Simple triage deployments (classification + routing): 48–72 hours. Full resolution systems with knowledge base RAG and live API integrations: 10–14 days. First auto-resolutions typically happen within 24 hours of go-live.
Auto-resolution rate, re-open rate, CSAT comparison (AI vs human), agent time freed, and ticket volume trend — all tracked from day 1. Weekly digest delivered to your team lead with key metrics and any quality flags.
Let's Build Your
AI Automation Engine
Book a free 45-minute strategy call. We'll map your top automation opportunities, estimate ROI, and show you exactly how we'd build it.
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