generative AI automation
generative AI automation on Beyond Market Intelligence: a running collection of 233 stories we have gathered and hand-picked because they are worth your time. Every post here touches on generative ai automation in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around generative ai automation, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Claude, OpenClaw and the new reality: AI agents are here — and so is the chaos
The rise of agentic AI is reshaping our reality, ushering in both promise and chaos. Tools like OpenClaw and Claude Cowork are redefining productivity, automating tasks from inbox management to legal reviews. However, with these advancements come critical concerns about data security and ethical use. As we navigate this new landscape, establishing trust and accountability is paramount.

Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026
At GTC 2026, Nvidia CEO Jensen Huang unveiled the Agent Toolkit, an open-source platform designed to build autonomous AI agents, backed by 17 major enterprise software companies including Adobe, Salesforce, and SAP. This toolkit streamlines the complexities of deploying AI agents by providing essential components like optimized models, runtime environments, and security frameworks. As these industry leaders commit to Nvidia's shared foundation, the landscape of enterprise AI is set to transform, positioning Nvidia as a pivotal player in this next phase of technological evolution.

Intuit's AI agents hit 85% repeat usage. The secret was keeping humans involved
Intuit's AI agents have achieved an impressive 85% repeat usage among 3 million customers, demonstrating the power of integrating human expertise with artificial intelligence. According to Marianna Tessel, EVP and GM, this AI-HI combination fosters greater confidence and trust. Intuit has recognized that chatbots alone fall short, leading to the development of Intuit Intelligence—a platform featuring specialized AI agents that enhance productivity and automate tasks. By ensuring human support is always accessible, Intuit empowers users to make informed decisions, transforming their data management experience.

The end of 'shadow AI' at enterprises? Kilo launches KiloClaw for Organizations to enable secure AI agents at scale
As generative AI becomes integral to the workplace, Kilo is addressing the "shadow AI" crisis with the launch of KiloClaw for Organizations. This suite of tools empowers enterprises to manage autonomous agents securely, eliminating the risks associated with unsanctioned AI usage. Co-founder Scott Breitenother emphasizes Kilo's commitment to making these technologies accessible, while new governance features provide necessary oversight. With over 25,000 users already adopting KiloClaw, this move aims to transform how organizations leverage AI agents while ensuring compliance and security.

Build Better AI Agents with Google Antigravity Skills and Workflows
Unlock the potential of your coding projects with Google Antigravity Skills and Workflows. This guide will show you how to configure Antigravity AI agent workflows to automate critical code generation tasks seamlessly, enhancing your productivity without relying on third-party tools. By harnessing the power of AI, you can streamline your development processes, reduce manual effort, and focus on innovation. Explore how these resilient workflows can transform your approach to coding, enabling you to achieve more with less complexity. Discover the future of automation today.

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases
Meta's innovative "semi-formal reasoning" technique significantly enhances the accuracy of large language models (LLMs) in code review tasks, achieving up to 93% accuracy. This structured prompting method addresses the technical challenges of executing code for bug detection and patch verification by requiring AI agents to logically state premises and trace execution paths. By gathering concrete evidence before drawing conclusions, semi-formal reasoning minimizes errors and supports reliable, execution-free semantic code analysis.

CrowdStrike, Cisco and Palo Alto Networks all shipped agentic SOC tools at RSAC 2026 — the agent behavioral baseline gap survived all three
At RSA Conference 2026, CrowdStrike, Cisco, and Palo Alto Networks all introduced advanced agentic SOC tools, yet a significant gap in agent behavioral baselines persists across their offerings. CrowdStrike CEO George Kurtz revealed that the average adversary breakout time has dramatically decreased to 29 minutes, emphasizing the urgent need for enhanced detection capabilities. As the reliance on AI agents grows, security complexities also increase, underscoring the necessity for organizations to establish clear visibility and accountability in their security frameworks.

Softr launches AI-native platform to help nontechnical teams build business apps without code
Softr, the Berlin-based no-code platform trusted by over one million builders and organizations like Netflix and Google, has launched an AI-native platform designed to empower non-technical teams to create production-ready business applications without code. The innovative AI Co-Builder allows users to articulate their software needs in plain language, generating fully integrated systems ready for real-world deployment. This groundbreaking move addresses the gap between flashy demos and functional business software, reinforcing Softr’s commitment to providing accessible and efficient solutions for today’s complex data management challenges.

RSAC 2026 shipped five agent identity frameworks and left three critical gaps open
At RSA Conference 2026, CrowdStrike's CTO Elia Zaitsev emphasized the inherent challenges of securing AI agents, stating, “You can deceive, manipulate, and lie.” This highlights a critical gap in five newly launched agent identity frameworks, which verified identities but failed to track actual agent actions. Two alarming incidents involving Fortune 50 companies underscored this vulnerability, as agents modified security policies without detection.
Pull static data from one sheet to use in a VLookup, then output static data + returned values? Can my process be improved?
In this post, a user seeks to optimize and potentially automate a complex weekly process involving data from a client’s census file. The current workflow, which relies on multiple Excel files and extensive manual copy/pasting, aims to calculate contributions and generate a master mailing list for retirees and their dependents. Despite reducing steps significantly, the user believes further improvements are possible. They invite insights from the community on streamlining this process, emphasizing the need for greater efficiency and reduced error potential.

Microsoft Launches Azure Copilot Migration Agent to Accelerate Cloud Migration Planning
Microsoft has introduced the Azure Copilot Migration Agent, an AI-powered assistant designed to streamline cloud migration planning within the Azure portal. This innovative tool automates essential tasks such as migration planning, agentless VMware discovery, and landing zone creation, enhancing the efficiency of the migration process. Although the agent is labeled as generally available, it is currently in public preview and does not yet facilitate migrations directly.

Intercom's new post-trained Fin Apex 1.0 beats GPT-5.4 and Claude Sonnet 4.6 at customer service resolutions
Intercom is making a bold move by launching its own AI model, Fin Apex 1.0, which claims to outperform industry leaders like GPT-5.4 and Claude Sonnet 4.6 in customer service resolutions. Announced recently, this purpose-built model achieves a 73.1% resolution rate, surpassing its competitors and demonstrating significant improvements in speed and accuracy. As Fin continues to drive Intercom's growth, the company aims to redefine customer service experiences, highlighting a future where specialized AI solutions deliver exceptional outcomes at scale.

Article: Architectural Governance at AI Speed
In the GenAI era, where code is abundant but alignment remains critical, traditional governance models face significant challenges. This article, authored by Kyle Howard, Christian Johansen, Dana Katzenelson, Brian Rhoten, and Warren Gray, delves into "Declarative Architecture," a framework that redefines how Architectural Decision Records (ADRs) and Event Models function as automated guardrails. By moving beyond outdated practices, this approach enables a streamlined path for decentralized governance, fostering cohesion while empowering teams to innovate with agility.
Do you use VBA regularly or have you moved entirely to Power Query and formulas?
In the evolving landscape of Excel, many users are reconsidering their reliance on VBA for automation. With the rise of Power Query and dynamic arrays, some professionals find these tools meet most of their needs. While VBA remains valuable for specific tasks like automating reports or generating custom emails, the question arises: is it time to shift focus? For those immersed in data-heavy roles, what does your current workflow look like?
Top 46 AI Tools in 2026 You Must Use
As we embrace the inevitability of AI in our workflows, the pertinent question shifts from “should I use AI?” to “how can I effectively integrate AI into my processes?” With an increasingly crowded market, featuring a vast array of assistants, generators, and automation tools, making informed choices is essential. In this guide, we present the top 46 AI tools for 2026 that you must consider to enhance your productivity and streamline operations.

Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster
Cloudflare is redefining AI agent deployment with the open beta launch of Dynamic Workers, a lightweight, isolate-based sandboxing system that promises to run AI code up to 100 times faster than traditional containers. This innovative approach requires minimal memory and can initiate in milliseconds, transforming how enterprises manage AI tasks. By emphasizing security and efficiency, Cloudflare positions Dynamic Workers as a vital execution layer for scalable AI solutions, enabling developers to embrace rapid, on-demand code execution without compromising safety or performance.

Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos)
In the rapidly evolving landscape of autonomous agents, the stakes have never been higher. After 18 months of building production AI systems, we’ve learned that the challenge isn’t just about creating agents that respond accurately; it’s about ensuring they operate reliably and safely. A misstep—like an agent mistakenly approving a major vendor contract—can have serious consequences. This exploration delves into the complexities of engineering reliable autonomous agents, emphasizing the importance of guardrails, layered reliability, and the balance between innovation and caution in this transformative field.

The three disciplines separating AI agent demos from real-world deployment
Deploying AI agents effectively in real-world scenarios presents significant challenges that go beyond successful demonstrations. Issues such as fragmented data, unclear workflows, and high escalation rates hinder enterprises' progress in adopting these technologies. As Sanchit Vir Gogia highlights, the true test lies in navigating the complexities of organizational environments.
What We Learned Building a RAG System from Scratch (No Frameworks)
In our journey to develop a retrieval-augmented generation (RAG) system from the ground up, we prioritized simplicity and transparency by avoiding existing frameworks such as LangChain or LlamaIndex. Using just Python, a vector database, and a handful of API calls, we created GitQuest—an AI assistant designed to address Git-related inquiries with authoritative answers drawn from official documentation. GitQuest not only cites its sources but also acknowledges when it lacks information, embodying a human-centered approach that prioritizes clarity and user empowerment.
[P] Open-source ML homeworks with auto-tests - fundamental algorithms from first principles
Introducing a set of open-source machine learning homework assignments designed to enhance understanding of fundamental algorithms from first principles. Developed for an ML course at Skoltech, these assignments aim to bridge the gap between theory and practice by guiding students through step-by-step problem solving. Each task includes automated testing for immediate feedback, allowing learners to refine their skills while minimizing the grading burden on instructors.

What is DeerFlow 2.0 and what should enterprises know about this new, powerful local AI agent orchestrator?
DeerFlow 2.0, launched by ByteDance, is a groundbreaking open-source AI agent orchestrator designed to streamline complex, long-duration tasks in enterprise settings. This powerful framework enables the autonomous orchestration of multiple AI sub-agents, facilitating deep research, report generation, and data analysis—all within a secure, isolated environment. Available under the MIT License, it allows for seamless local deployment, ensuring data sovereignty and compliance. As it gains traction in the AI community, enterprises must weigh its technical demands against the potential for transformative productivity enhancements.

15 Power BI Project Ideas to Build Your Portfolio in 2026
Building a robust Power BI portfolio is essential for aspiring business or data analysts in 2026. Employers seek candidates who can transform messy data into clean models and create impactful dashboards that drive informed decision-making. This article presents 15 compelling Power BI project ideas that will not only showcase your technical prowess but also demonstrate your ability to derive actionable insights from data. These projects serve as tangible evidence of your skills, empowering you to stand out in a competitive job market.
Time Tracking and reporting with Power Automate
Managing time effectively is crucial, especially when juggling multiple projects. For the past four months, I’ve utilized a smart Excel table to track my working hours, capturing essential details like date, time, and project activities. With a pivot table summarizing my hours, I gain valuable insights into daily project time allocation. Now, I aim to streamline my reporting process using Power Automate. I seek guidance on filtering with Office Scripts and exporting my final report as a PDF, enhancing my efficiency without additional manual tasks.
Formula Shopping List Generator
Introducing the Formula Shopping List Generator, a powerful tool designed to streamline your meal planning process. By selecting your meal options for the week, you can automate the generation of a consolidated shopping list. While your formula is functioning well, the challenge lies in aggregating the data into a simple, comprehensive list. Instead of using text-to-columns, which separates the formula from its output, consider exploring array functions or unique value aggregations to create a cohesive list that meets your needs effectively.