customer-support

Airbnb says AI is helping it build features 60% faster and is testing a new AI-powered search that lets users toggle to natural language queries.

Athens-based Omilia raises a $67M Series B led by Expedition Growth Capital to scale its AI-powered customer support platform, which combines generative AI with more traditional automation. The company reports $60M ARR and counts clients like Capital One and Taco Bell.

Gergely Orosz pushes back on an analogy comparing Intercom's AI bet with Airtable's situation, arguing that Intercom had a clear AI story while Airtable did not.

A developer shares experience building a customer support AI agent, highlighting that the human handoff and state management are the hardest parts, not the conversational ability.

Circles is using OpenAI's API to build an AI-native telco stack with an AI Concierge and multi-agent CareX architecture, achieving 22% ARPU increase and 65% autonomous resolution in customer support.

The author shares lessons from building customer support multi-agent systems, arguing that retrieval and grounding failures—not prompts or models—are the main cause of agent hallucinations. They outline five grounding checks and note that prohibiting ungrounded answers cut escalations by 40%.

Smallest.ai raises $13M in Series A funding to develop small, specialized voice models enabling real-time, human-like conversation for AI agents, aiming to make voice interactions indistinguishable from human speech.

An analysis of 10,000 production AI support prompts found 12.4% contained personally identifiable information, arguing that LLM security should focus on data minimization and redaction rather than only prompt injection or jailbreaks.

Ticketdesk AI is a product that provides AI agents for customer support, aiming to automate and streamline ticket handling.

A developer details how their AI agent's silence was caused by safety guards failing closed, timeouts, and nested JSON issues, emphasizing that silent failures are worse than wrong answers in customer-facing chatbots.

An audit of 50 production AI agent deployments found that 47 had critical prompt injection vulnerabilities, primarily in five common patterns including direct override and indirect injection via RAG.

Encore AI has raised $30M to develop AI voice agents that learn from customer interactions by analyzing call recordings and transcripts.

This paper presents SAFAARI, a multi-agent framework that improves schema linking for NL-to-SQL systems in customer support, achieving an 81.66% SEAL score and 8x reduction in development time.

A perspective on using AI in customer support to enhance agent capabilities rather than replace them, by consolidating information from multiple systems.

The article argues that AI should be used to assist customer support agents rather than replace them, emphasizing human-AI collaboration.

A real-world case reveals the critical difference between AI agents being autonomous (taking steps without approval) and unsupervised (no human oversight), leading to compliance risks and customer damage when agents confidently do the wrong thing at scale.

A company recounts a customer complaint about an AI agent's incorrect output, but they could not reconstruct the exact prompt and model version due to poor versioning practices, highlighting the need for better traceability in AI deployments.

Estera is an AI receptionist that answers calls and WhatsApp messages 24/7, providing automated customer support.

OpenAI introduces Presence, a battle-tested product for deploying trusted AI agents in production, with built-in policies, guardrails, and escalation rules. Available today for voice and chat, it helps enterprises run reliable, adaptive agents at scale.

Rime, a voice AI startup founded by ex-Stanford and Amazon engineers, raised $24M in Series A funding to help enterprises handle customer calls with its phoneme-based voice models that reduce customization needs. The company plans to expand its team and shift toward speech-to-speech models.