AI agents

Help Desk Automation: What to Automate and How to Measure It [2026]

What help desk automation actually covers: the five ticket operations worth automating, what to keep human, and how to measure resolution, not deflection.

Aircall Insider: AI Agents that work together and deliver expert-level answers

In this month’s edition of Aircall Insider, we’re excited to share updates across AI Agents that bring your customers a smoother call experience and get their questions answered faster.

6 things mobile engineering teams wish they knew earlier

Learn what makes mobile observability uniquely hard, reported by engineers who’ve lived through it at places like Favor Delivery, Hatch, and Zuper.

Autonomous Customer Service in 2026: How It Works and How Far It Goes

What autonomous customer service really means in 2026, how it works, where it stops, and how to measure how far autonomy can go on your tickets.

Synter Prospector Is Now Generally Available

Explore how Synter Prospector unifies waterfall lead discovery, dedicated secondary domain deliverability, and 27-platform ad synchronization, backed by real performance data from our own campaigns.

McKinsey says enterprise AI is finally 'on the road to ROI'

Fasten your seatbelt and empty that bladder: AI investment is rising, but reported enterprise earnings impact remains stubbornly flat

How Cobrainer built graph-based agent memory on one engine

Cobrainer runs graph-based agent memory and a Rust-native agentic graph RAG on SurrealDB, replacing a separate vector store and search engine.

Support team structure when AI answers tier 1

Support team structure guide: how the tier 1/2/3 pyramid changes when AI holds the first line, and what the new org chart looks like.

API Descriptions That Pass the Linter and Fail the Agent

A linter flags a missing description, not a useless one, and the useless one is what an agent chokes on. What to write, what to leave out, and how to test it.

How to choose an agent harness

Choose an agent harness by answering five questions in order: where does enforcement live, where does your data run, can you inspect the control plane, can you compose it to …

Catch Your AI Agent's Mistakes With These 4 Layers

Agentic AI Roadmap Wasn't Enough. Here's What's Missing.

#AgenticAI #AIEngineer #AIRoadmap2026 🎓 Enroll in the course: https://balajichippada.com/ 🔗 Join the WhatsApp Community https://chat.whatsapp.com/GASHZYf7wBA23nQvb39lIP This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow…

AI order agent: Answer "where is my order?" automatically

Aircall's AI order agent answers “where is my order?” in seconds, looks up live Shopify orders, and deflects up to half your retail call volume, 24/7.

AI support agents: Resolve every request, day or night

Aircall's AI Voice Agents resolve routine support requests, reach out before issues become tickets, and hand complex cases to your team with full context.

Prompt Chaining Explained: Patterns, Examples & When to Use It

Prompt chaining breaks a complex task into a sequence of smaller AI steps. Learn how it works, common patterns, real examples, and when to use it.

AI disclosure in customer support: what the law actually requires

Where AI chatbot disclosure is now a legal requirement, where it is unsettled, and wording that discloses without scaring customers off.

AI support data retention: policies that satisfy legal and keep the agent useful

How to set a chat data retention window that meets storage limitation obligations without deleting the history an AI support agent needs to stay accurate.

AI-native DevOps is not autonomous remediation

AI-native DevOps gives agents identity, infrastructure context, memory, scoped access, approvals, and an attributable audit trail.