The State
of AI.

Enterprise AI is converging on voice, agents, and measurable time savings — not chatbots

Three separate enterprise deployments today — Parloa in customer service, Uber in marketplace operations, and Singular Bank in finance — all share the same pattern: AI value is being captured through voice interfaces, agentic task automation, and hard productivity metrics (60–90 min/day saved), not conversational chatbots. Combined with OpenAI's B2B signals research explicitly naming Codex-powered agentic workflows as the competitive moat, the signal is clear: if your AI product roadmap is still centered on a text chat interface without voice or autonomous task execution, you are building to the previous cycle. The teams winning in 2026 are the ones who have moved from 'AI answers questions' to 'AI completes workflows.'