Insights, updates, and thought leadership on conversational AI, enterprise automation, and the future of customer experience
Self-running AI agents are reshaping enterprise processes. We're releasing the Agentic AI Studio for Blits, a platform-agnostic, enterprise-ready way to design and run autonomous workflows with your own models and data.
Retrieval-augmented generation is now standard, yet many enterprise deployments still underperform. This article explains the main failure points and a practical operating model for reliable RAG.
Most text-to-speech evaluations still optimize for demo quality, not business outcomes. This guide explains how to benchmark TTS for real customer experience, latency targets, and operational reliability.
Letting AI agents spend money is no longer experimental. This article explains how to design delegation policies that make agentic payments auditable, bounded, and safe for enterprise use.
Once AI agents start running business workflows, dashboards are not enough. This article explains how to build an AI control tower with observability, alerts, and decision-level traceability.
Many teams move to multi-agent setups too early or too late. This article explains when a single agent is enough, when to split roles, and how to avoid coordination chaos.
MCP makes tool integration fast, but security decides whether it scales. This guide explains how to secure MCP servers in production with authentication, scoped permissions, and audit-ready logging.
Most AI teams are still treating EU AI Act compliance as a legal side project. It is not. This checklist shows what enterprises should implement now to avoid operational disruption and expensive rework.
AI performance is not just model accuracy. In this article I explain the KPIs that matter in production, including latency, P99, TTFT, error rates, and practical ways to measure both quality and business impact.
Text-to-speech is becoming core AI infrastructure. In this article I explain what TTS engines are, which model approaches exist, which providers matter, and why speed, quality, region, and dialect decide real-world success.
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