What we know, and where it is going
Practical writing about voice AI — for small companies and enterprises alike.
What three shopping-mall campaigns taught us about voice AI
Three real campaigns, 1000+ interactions. What an AI gift advisor kiosk at Mammut and Aréna Pláza teaches you — what it is good for, what it is not, and what keeps it stable on a peak day.
AI sales calls — five times the leads without extra headcount
A rep manages 40–60 calls a day. The AI runs 500. How outbound AI calling works in lead generation and qualification.
Where is my order? — how an AI voice agent runs e-commerce support
Seventy percent of e-commerce support is repeat questions. How to automate it with phone AI — order tracking, complaints, product information.
Customer service automation — 60-70% of L1 calls can go to AI
Most support calls are repeat L1 questions. How to automate them with voice AI — ticketing, escalation, availability around the clock.
7 industries where the AI voice agent already works
How companies use AI voice agents today. Concrete examples from healthcare to e-commerce.
AI Talks 2025 workshop — measurable customer service results
A full house at the Bálna: voice AI, hybrid customer service, and a lot of human energy. How the AI Talks workshop went, from the AI Squad side.
An AI voice agent in bank soft collection
How an AI voice agent holds up in one of the most sensitive areas of financial services. Real experience and real results.
Why our LLMs cannot be jailbroken
Prompt injection, jailbreaking — why are phone-based AI systems safer? Our three-layer defense strategy.
LLM security and privacy — how we protect customer data
Clearing up the misconceptions: how AI Squad protects sensitive data. Inference-only architecture and full isolation.
How large language models work
Simple analogies for how the language models behind our voice agents actually work.
AI voice agents — how they are reshaping business in 2025
Market growth, proactive AI, multimodal experiences. A round-up of the trends and business applications that matter.
What you need to know about the AI call center
LLMs, guardrails, conversation paths, integrations, and knowledge bases — a guide to building an AI call center.
Why customers prefer AI agents
Six reasons AI phone agents outperform traditional customer service: instant answers, consistency, cost.
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