1317 summarised stories about Enterprise AI, each linking back to the original source. Browse all topics →
Sequoia 8 months ago 10
Pace is partnering with Sequoia to deploy AI agents that review and submit insurance claims documents by coordinating with insurers’ back-office systems. The article says insurers process tens of thousands of tasks through Pace’s AI agents every month. As a result, workers spend about 15 minutes reviewing a generated summary and then confirm with a button instead of manually processing documents across multiple screens.
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25 October 2026
Microsoft Research dropped Agensh, an open-source multi-agent harness that aims to make coding swarms feel less like a science project and more like a workflow. The key idea is decentralized task claiming: instead of a single central orchestrator, agents self-assign sub-tasks, then synchronize by writing progress into a shared Git repository. In ProgramBench tests, Agensh scaled from 1 to 1,024 agents, with a 30-minute pandoc milestone climbing to a 30% passing rate at 128 agents. The mean final test-pass rate improved from 19.31% with one agent to 28.78% at 128, and pandoc reached 79.59% when using GPT-6.1-sol with 32 agents—an unusually specific datapoint for what is often framed as “more agents = better.”
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