Emergent Labs on 25 Aug 2025 unveiled Emergent Pro, a no-code platform that allows selected users to build and deploy fully autonomous AI agents without writing software. The company says the tool can create “custom AI co-workers” for a wide range of business tasks, signalling a push to move agentic AI beyond experimental chat interfaces and into day-to-day operations. The release joins a crowded field of agent-building products launched the same day, including Qoder, an integrated development environment that promises conversational pair-programming and autonomous code generation. Industry voices such as Box Chief Executive Officer Aaron Levie argue that entire workflows are already adapting to how agents operate rather than the other way around. Rising adoption is sharpening focus on governance and risk. Microsoft outlined a three-pillar approach—governance, forensics and rollback—to secure AI workloads, while a SandboxAQ survey found nearly eight in ten enterprises have AI in production but only 6 percent have an AI-native security strategy. Despite the enthusiasm, scaling remains difficult. IDC figures published in May show 88 percent of AI pilots never reach production. Upcoming events, including ODSC AI West in late October and the MLOpsWorld | GenAI Summit earlier that month, plan to highlight agent operations and guardrails aimed at closing the gap between prototype and production.
We thought AI agents would conform to how we work, but it’s more likely that we’ll adapt our workflows to how they work best. Agents work best with descriptive context, which means our processes will get much more specific and well documented. https://t.co/ZYheLAkCmq
We thought agents would map to existing workflows. But Box CEO @levie sees the reverse: entire jobs and processes are already bending around agents. The open question: “When is the moment when we conform to how agents are best used?” https://t.co/xv9v9L89r9 https://t.co/H6jVYkz8aU
In Enterprise hits and misses this week: @jonerp digs into AI versus cyber risk and GRC, asks whether we’re staring at an AI bubble or winter, and argues that resilience – not speed – is the real test of AI maturity. Read the full breakdown - https://t.co/XauocjVpBi https://t.co/dc6Qyrt8Rf