Insights, updates, and thought leadership on conversational AI, enterprise automation, and the future of customer experience
Five takeaways from Mastercard's 'AI: Intelligence in Action' summit in Johannesburg, where banks like Nedbank, OM Bank, and Standard Bank made one thing clear: the technology isn't the bottleneck anymore. Governance, trust, and context are.
A plain-language roundup of the five biggest things we shipped this year — emotional voice, rich interactive cards, agentic tasks, in-chat payments, and response feedback — and what each one does for the person on the other end of the conversation.
The signals we heard at VivaTech in Paris and Web Summit in Rio, and where we think this is heading: production over pilots, substance over spectacle, and why your operating framework matters more than any single model.
Hybrid search, reranking, ColBERT, adaptive, agentic, GraphRAG, self-RAG. The RAG family has exploded, and every vendor has a favorite. This is a plain-language guide to what each one actually does, which problem it solves, and which ones you probably don't need.
A knowledge assistant that aces its pilot doesn't fail with an error page. It fails silently, recall sliding from 0.92 to 0.74 while every dashboard stays green. An autopsy of why good RAG rots after the demo, and what keeping it alive actually costs.
Agentic systems promise autonomous workflows, but speech and dialect quality often fail first. Arabic, Turkish, Chinese, and many other non-Western languages face the same gap between datasheet claims and production trust. This article explains why, and what teams should verify.
MOS has saturated, and vendor demos are hand tuned scripts. Here is the lab protocol we use to grade text to speech on the things that still vary 10x: latency under load, jitter, entity accuracy, barge-in, and cloning risk.
You let employees spend company money every day without losing control: corporate cards, purchase orders, dual sign-off, an audit after the fact. An AI agent is just a new kind of delegate, and the same instruments translate almost one to one. Here's how to write the mandate, and where the analogy quietly breaks.
A dashboard tells you the plane landed. A control tower keeps two aircraft off the same runway in real time, with the authority to divert one. Here's what that distinction means for running AI agents in production, and why an HTTP 200 will lie to you.
The industry spent 2025 arguing about multi agent architectures. In 2026 the two loudest voices quietly agree: start with one agent, and reach for more only for parallel, read heavy work. Here's the case against splitting too early, and how to do it right if you must.
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