AI Customer Support That Resolves 85% of Tickets Before a Human Sees Them
We build intelligent support automation — AI that understands your products, policies, and customers — that handles the majority of support volume instantly, escalates intelligently, and makes your human agents dramatically more effective.
85%
Average ticket deflection rate
−62%
Support cost reduction
<2s
AI response time (24/7)
What is AI customer support automation?
AI customer support automation is the deployment of large language models trained on company-specific knowledge to handle customer inquiries, troubleshoot issues, process requests, and resolve tickets without human agent involvement — for the majority of support volume. Unlike keyword-based chatbots that follow rigid scripts, AI support systems understand natural language, maintain conversation context, query live customer data, and generate contextually accurate responses. Aroluxa builds AI support systems using Claude, Intercom, Zendesk, and custom knowledge base integrations that achieve 80–90% ticket deflection rates while maintaining high CSAT scores — because AI resolves issues accurately and immediately rather than routing customers through queues.
Why most companies struggle without AI
The same patterns limit every revenue team. Here's what we fix first.
Your support team is overwhelmed by repetitive inquiries
The majority of support tickets are repetitive — order status, password resets, billing questions, how-to queries. AI handles these instantly, freeing your agents for complex, high-value interactions that actually require human judgment.
Customers wait hours for answers that exist in your docs
Wait times for simple questions damage customer satisfaction. AI support provides accurate, immediate answers at any hour — including nights, weekends, and holidays when your team isn't available.
Support costs scale linearly with customer count
Every new customer adds support volume. Without AI deflection, support headcount must grow proportionally. AI support breaks this relationship — handling 10× the volume with the same team.
Human agents spend time on admin, not solving problems
Finding customer records, searching documentation, writing responses from scratch — AI handles all of this and drafts the response so agents can focus on nuance, empathy, and complex problem-solving.
Everything we build, end to end
Every component is custom-built for your stack, ICP, and business model — not templated.
AI Resolution Engine
- Natural language intent recognition
- Product & policy knowledge base integration
- Live customer data querying (CRM/orders)
- Contextual multi-turn conversation handling
Intelligent Routing
- Complexity-based escalation logic
- Sentiment detection & priority routing
- Agent matching by expertise
- Warm handoff with full conversation context
Agent Augmentation
- AI-drafted response suggestions
- Relevant knowledge article surfacing
- Customer history summary on ticket open
- Resolution recommendation engine
Analytics & Optimisation
- Deflection rate by topic & channel
- CSAT tracking for AI vs. human
- Resolution time analytics
- Knowledge gap identification
How we build and launch your system
Support Audit & Knowledge Build
Analyse top ticket categories and volumes. Extract all product documentation, policy documents, and FAQ content. Build the AI knowledge base and configure retrieval.
AI Training & Integration
Configure AI support model with company knowledge. Integrate with support platform (Intercom/Zendesk) and live data sources (CRM, order management). Define escalation rules.
Shadow Testing
Run AI in shadow mode — AI generates responses alongside agents for 2 weeks. Measure accuracy, coverage rate, and CSAT on AI-handled tickets. Refine before full launch.
Launch & Optimise
Full deployment with continuous monitoring. Monthly analysis of deflection rates, CSAT scores, and knowledge gaps. Knowledge base updates as products evolve.
Live and producing results in 6 weeks.
Book a strategy callAI Support vs. Human-Only Support
From the field
85%
ticket deflection rate within 60 days of launch
We built an AI support system on Claude with RAG access to their 800-page knowledge base, live CRM data (account status, subscription tier, usage data), and order/billing history via Stripe API. AI handles 85% of tickets autonomously. The remaining 15% are escalated with full context. Average resolution time: 47 hours → 4 minutes. CSAT improved from 3.8 to 4.6 because customers get faster, more accurate answers.
Read full case studyBuild your AI Customer Support system
Fixed-scope builds. Clear deliverables. No hourly billing surprises.
AI Support Starter
per month
- Knowledge base build
- AI chat integration
- Basic escalation logic
- Monthly performance reporting
AI Support System
per month
- Everything in Starter
- Live CRM/data integration
- Agent augmentation tools
- CSAT tracking
- Continuous optimisation
AI Support Enterprise
per month
- Everything in System
- Custom AI model training
- Multi-channel support (chat, email, SMS)
- Full analytics dashboard
- Dedicated support AI engineer
Need a custom enterprise scope? Talk to us
Questions, answered.
Everything you need to know about how we build AI Customer Support systems.
Still have questions? Talk to usLet's build your AI Customer Support system
Book a free 30-minute strategy call. Walk away with a system architecture, deployment timeline, and cost estimate. No commitment, no pressure.
Book Intro CallFree 30-min call · No obligation · System live in 6 weeks