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Microsoft Launches Scout AI Assistant For Microsoft 365

Microsoft has introduced Scout, a new AI assistant built on the OpenClaw framework and designed to operate across the Microsoft 365 ecosystem. Interest in OpenClaw grew across the industry earlier this year after the autonomous AI agent demonstrated its ability to perform tasks with minimal human intervention.

Origins and Evolution

OpenClaw attracted significant attention in early 2026, sparking discussions across the technology sector about the opportunities and risks associated with autonomous AI agents. Although interest in the project cooled after OpenAI acquired its founder, many of its underlying concepts continue to influence AI development. Microsoft’s Scout combines elements of OpenClaw’s autonomous capabilities with enterprise-focused security, compliance and personalization features.

A Persistent, Personalized Assistant

Scout is designed to maintain a persistent identity and adapt to user preferences over time. According to Scout Vice President Omar Shahine, users can build memories, workflows and skills that remain associated with the assistant across different tasks and interactions. “We all have our interesting quirks in how we work, and people are codifying those patterns into memories and skills that persist in their agent,” Shahine said. Microsoft says the system is intended to help users automate recurring tasks while adapting to individual work habits.

Seamless Integration Within the Microsoft Ecosystem

Scout operates across cloud, desktop and web environments and connects with workplace tools including calendars, email and task management systems. Built-in features include calendar management and meeting preparation, while users can also create customized workflows and skills. Currently available through Microsoft’s Frontier program, Scout requires a GitHub Copilot subscription.

Emphasis on Security and Compliance

Microsoft has placed a strong emphasis on governance and oversight within Scout’s design. A policy conformance system monitors actions against predefined rules and generates audit records throughout the process. According to Microsoft, these controls are designed to provide greater visibility into AI-driven actions and support compliance requirements within enterprise environments.

Complementing A Broader AI Strategy

Scout was introduced alongside several other AI announcements at Microsoft’s annual Build developer conference. Alongside Scout, Microsoft unveiled updates to Copilot, Project Solara and a new reasoning-focused AI model as part of its broader AI strategy.

Scout’s introduction reflects Microsoft’s continued investment in AI agents designed to automate tasks while operating within established security and compliance frameworks.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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