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AI Agents & Workflows

1239 summarised stories about AI Agents & Workflows, each linking back to the original source. Browse all topics →

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Wednesday, 12 August 2026

Why Japanese firms are being so slow to use AI

BBC News 2 months ago 29

Japanese firms are adopting AI more slowly than peers such as the US and UK despite labor shortages and productivity pressures. Only 8.4% of Japanese workers use AI as part of their job, versus 50% in the US and 32% in the UK. Cautious company culture, low tech talent, and pressure to avoid unemployment are limiting use to low-risk tasks while broader workflow automation stays rare.

Skan AI raises $63M to give AI agents a map of enterprise work

SiliconANGLE 2 months ago 43 ● 4 sources

Skan AI raised $63 million in a Series C to expand its platform that captures how enterprise work happens and provides that context to AI agents. The funding round included a $63M check, and the company claims it has logged more than 25 billion work signals. The company plans to invest in product development and expand sales efforts across financial services, insurance, healthcare, and technology.

Anthropic’s Chrome extension is now a Cowork session

The New Stack 2 months ago 4

Anthropic updated its Chrome extension so Claude in Chrome now works as a full Cowork client with persistent sessions integrated into the Claude app ecosystem. The new experience is rolling out to all Max and Team plan subscribers. Pro users will receive it in the coming weeks, and Enterprise admins can enable it by default only on specific domains.

Anthropic gave agents the ability to dream. Then developers woke up.

The New Stack 2 months ago 4

Anthropic presented “dreaming,” an asynchronous memory-management process for AI agents, during AI DevCon in London. It runs in batch using allocated resources. Developers and researchers say it could improve long-term agent memory, but they worry about stale or poisoned memories becoming persistent at scale, making provenance, versioning, and rollback more important than memory being searchable or audit-friendly.

Apexon targets stalled AI pilots with three AgentRise additions

SiliconANGLE 2 months ago 8

Apexon expanded its AgentRise agentic AI platform by adding three components: AgentRise Polaris, Lodestone, and Harness. AgentRise Lodestone is positioned to create an AI-ready enterprise knowledge layer that connects data, institutional knowledge, and business context. The update aims to move clients from AI experimentation to full enterprise-scale execution across decision planning, knowledge architecture, and software development lifecycle engineering.

Lovable’s valuation doubles to $13.3BN as raises new funds

Tech.eu 2 months ago 5 ● 8 sources

Lovable raised $400m in a Series C round that lifted its valuation to $13.3bn, more than doubling from its prior December 2025 valuation. The round was co-led by Menlo Ventures and the Scaleup Europe Fund, managed by EQT, at a $13.3bn valuation. The funding will support expansion, including increasing headcount by 50% to 450 this year and continuing to use multiple AI models for its vibe-coding product.

The Sequence Chat - Issue 912: NVIDIA’s Chris Alexiuk Talks About Nemotron, GPUs and Agentic AI

Substack 2 months ago 6 ● 2 sources

Chris Alexiuk discussed NVIDIA’s Nemotron development, including model scaling, agent systems, and how routing/specalization and multimodal upgrades fit into production AI workflows. Nemotron 3 ships in three tiers with active parameter counts of about 3B, 12B, and 50B. The focus shifts from chatbots to long-running agent execution, enabled by smaller, cheaper models like Nemotron 3.5 Lightning and by evolving model routing toward broader orchestration layers for end users.

How RingCentral builds AI-native work from engineering to ops

OpenAI 2 months ago 9

RingCentral describes how it uses ChatGPT Work and Codex to speed up AI product development and to centralize operational intelligence across engineering and operations. The specific tools mentioned are ChatGPT Work and Codex. As a result, teams can connect engineering work with operations-focused insights in one AI-centered workflow, though this page provides no measurable outcomes.

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