Research, News and Insights
AI & Automation→AI Basics
A practical primer on the AI technologies behind modern customer service, from machine learning and large language models to agents and prompts.
Aidelytica · September 20, 2026 · 6 min read
Customer Experience→When AI Gets Customer Service Wrong, the Reply Still Counts
Customers are more forgiving of AI service failures when the recovery message shows empathy, not just efficiency.
N. Chen · January 6, 2025 · 7 min read
AI & Automation→AI in Customer Service: Where It Fits Across the Customer Journey
AI is becoming part of customer service at several points in the customer journey. The practical challenge is deciding where it can improve the experience without adding new friction.
Aidelytica · September 23, 2026 · 12 min read
AI & Automation→Is Your Customer Experience Operation Ready for AI?
AI readiness starts with the processes, information and people surrounding the technology—not the platform itself.
Aidelytica · September 20, 2026 · 11 min read
AI & Automation→Implementing AI in Customer Service: From Pilot to Scale
A phased approach to AI implementation: choosing a narrow first use case, designing the process, testing under real conditions, staging autonomy and scaling carefully.
Aidelytica · September 23, 2026 · 11 min read
AI & Automation→Responsible AI in Customer Experience: A Practical Guide
A practical guide to managing AI risk, protecting customer data and keeping meaningful human oversight in customer experience operations.
Aidelytica · September 20, 2026 · 9 min read
AI & Automation→AI Governance in Practice: Managing Risk After Launch
AI governance becomes more important after a system goes live. Once the technology begins interacting with customers, supporting employees or taking actions inside operational systems, the business needs a practical way to monitor performance, manage changes and respond when something goes wrong.
Aidelytica · September 23, 2026 · 10 min read