Customer expectations are evolving fast — instant answers, personalized experiences, and seamless support are the new standard. AI enables businesses to not only meet these demands but exceed them. At Lissanou, we help organizations turn every customer touchpoint into an intelligent, responsive moment of connection.
Before building AI solutions, take time to understand the friction in your current customer journey.
🎯 1. Map High-Traffic Interactions
Identify channels with the most frequent customer engagement (e.g., web chat, helpdesk, call center)
Track common inquiry types, FAQs, and average response time
Where there’s volume, there’s potential for automation.
💬 2. Listen to Customer Feedback
Review surveys, reviews, support tickets, and social media mentions
Look for recurring frustration — long wait times, unclear answers, inconsistent service
Every complaint is a clue to what AI can optimize.
🧠 3. Audit Personalization Gaps
Are customers receiving generic recommendations or irrelevant emails?
Is your website adapting to their behavior, preferences, or lifecycle stage?
Personalization is the difference between satisfied and loyal.
🧾 4. Evaluate Agent Workload
Are support teams overwhelmed or spending time on low-value queries?
Do agents switch between tools and tabs to solve a single issue?
AI can empower agents with instant answers and contextual insights.
✅ AI-Powered Chatbots & Virtual Assistants
Handle inquiries 24/7 with natural language responses
Resolve tier-1 issues instantly and route complex requests to humans
✅ Agent Assist Technology
Summarize customer history in real time
Suggest replies, guide resolutions, and reduce handling time
✅ Sentiment & Emotion Analysis
Detect the tone of customer interactions and escalate where needed
Understand what customers really feel — not just what they say
✅ Smart Recommendations
Suggest relevant products, upgrades, or resources based on behavior
Boost engagement with offers that resonate
✅ Voice of Customer Insights
Analyze large volumes of feedback, reviews, and calls
Identify trends, pain points, and improvement areas across teams
DoorDash
DoorDash enhanced its self-service offerings for Dashers by building a generative AI contact center solution using Anthropic's Claude models in Amazon Bedrock and Amazon Connect, improving user experience for millions globally
Ryanair
Ryanair, Europe's largest airline group, improved customer support by leveraging AI technology powered by Amazon Lex and Amazon SageMaker. Their chatbot, launched in June 2018, handled nearly 3 million conversions across five languages and is seen as an extension of their customer care team, playing a key role in enhancing customer experience
Govchat
Govchat partnered with AWS to create a Frequently Asked Questions chatbot (Amazon Lex) for South African citizens to ask questions about social grants. This chatbot answered over 900,000 questions in less than two weeks, saving the government over $500,000
⚡ Faster, more consistent service across all channels
💬 Personalized engagement that deepens trust
📉 Reduced support costs with smarter automation
🌐 Unified customer view for improved lifetime value