The AINGEL Blog
Insights for CX leaders building AI-first support teams
The AI Customer Service Team: Every Role You Need (Even If It's Just You)
A practical guide to the 5 core roles needed to build and maintain AI customer service bots — from prompt engineering to knowledge base management. Whether you're a team of one or ten.
AI Customer Service Benchmarks 2026: The KPIs That Actually Matter
The old metrics are lying to you. Here are the 6 KPIs that actually predict customer retention, revenue impact, and AI agent effectiveness in 2026.
Prompt Engineering for Customer Service Bots: A Practical Playbook
Organizations with structured prompt engineering see 84% higher first-contact resolution. Here's the practical playbook for designing prompts that actually work for customer service.
How to Build an AI Knowledge Base That Doesn't Hallucinate
Your AI is only as good as what it knows. Here's how to structure, maintain, and optimize a knowledge base that keeps your bot accurate and your customers happy.
How to Measure AI Agent Performance: Beyond CSAT and Resolution Rate
Resolution rate tells you if the problem was solved. It doesn't tell you if the customer is staying. Here's how to measure what actually matters for your AI agent's performance.