workflow automation
workflow automation on Beyond Market Intelligence: a running collection of 207 stories we have gathered and hand-picked because they are worth your time. Every post here touches on workflow 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 workflow 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.
Alibaba's proprietary Qwen3.7-Max can run for 35 hours autonomously and supports external harnesses like Anthropic's Claude Code
Alibaba's Qwen3.7-Max marks a significant advancement in the AI landscape, boasting 35 hours of continuous autonomous operation. This proprietary model can execute complex tasks, positioning itself firmly in the emerging "agent era," where AI actively plans and adapts over extended periods. By integrating with external frameworks like Anthropic's Claude Code, Qwen3.7-Max offers enterprises a powerful tool for automation and innovation. However, its API-only access raises questions about accessibility, reflecting a shift from Alibaba's historically open approach.
Resolve AI says the AI coding boom is breaking production systems. It wants to fix that.
Resolve AI, a production-operations startup backed by Greylock and Lightspeed, has announced an expansive upgrade to its platform aimed at addressing the challenges posed by the AI coding boom. The new features include always-on background agents and a multi-agent investigation system that improves root cause accuracy by over twofold. This innovative architecture enables specialized agents to work collaboratively, mirroring human teamwork in debugging. As engineers face increasing production complexity, Resolve AI positions itself as a transformative solution.
Kore.ai launches Artemis AI agent platform, expands challenge to Microsoft and Salesforce
Kore.ai has launched its Artemis AI agent platform, marking a significant evolution in enterprise AI technology. Designed to empower organizations to build, govern, and optimize AI agents with remarkable speed and efficiency, Artemis leverages a new intermediary language, Agent Blueprint Language (ABL), to streamline complex processes. This launch positions Kore.ai as a neutral alternative amid fierce competition from giants like Microsoft and Salesforce. By prioritizing AI-driven development, Kore.ai invites enterprises to explore innovative solutions that enhance productivity and foster trust in AI.
Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
In "Designing a Multi-Agent System for Engineering Support at Scale," Leela Kumili presents a compelling case study from Grab’s Central Data Team. They developed a multi-agent AI system to streamline repetitive engineering support tasks within their data warehouse. By differentiating investigation and enhancement workflows through specialized agents and an orchestration layer, the system significantly reduces operational load and enhances resolution speed. This shift allows engineering teams to focus on platform development rather than reactive troubleshooting.
Corti's new Symphony for Speech-to-Text model beats OpenAI at medical terminology accuracy, highlighting the value of specialized AI
Corti is redefining clinical speech recognition with its new Symphony for Speech-to-Text model, achieving an unprecedented accuracy rate of just 1.4% word error rate on English medical terminology—significantly outperforming OpenAI and other generalist models. Designed for real-time dictation and clinical workflows, Symphony allows developers to harness accurate, structured outputs essential for today's healthcare demands. This launch underscores a pivotal shift towards specialized AI solutions, emphasizing that in the medical field, precision matters.
Kimi WebBridge: Hands-on Guide to Kimi’s Browser Extension for AI Agents
Explore the transformative potential of Kimi WebBridge, a groundbreaking browser extension that empowers AI agents to operate seamlessly within Chrome and Edge. Moving beyond simple question-and-answer capabilities, these agents can now perform actions such as opening pages, filling forms, and automating complex workflows. This hands-on guide will walk you through Kimi WebBridge’s features, demonstrating how local AI agents can safely interact with real browser sessions.
How do you manage multi-variable data entry from web portals without constant context switching burnout?
Managing multi-variable data entry from secure web portals can be a significant challenge, especially when faced with the constraints of multi-factor authentication and strict IT security compliance. The manual process of copying data into Excel can lead to overwhelming context switching and workflow bottlenecks. To alleviate this frustration, it’s essential to explore innovative methods that streamline data entry without sacrificing security. For further insights, check out our article, "How to locate the Origin of an Unreferenced Value in a Complex Excel Workbook?
Excel workbook that reads two pasted reports and outputs a categorised breakdown, how would you build it?
Building an Excel workbook to automate your daily breakfast briefing can streamline your workflow significantly. Start by pasting the Meal Plan report into Tab 2 and the In-House Guest report into Tab 3. In Tab 1, you'll create a classification system that automatically cross-references both reports, categorizing guests based on their breakfast entitlements. Consider using XLOOKUP for efficient lookups and explore Power Query for a cleaner daily refresh. For further insights on Excel features, check out our article on "Charts are black and white."
LangSmith Engine closes the agent debugging loop automatically — but multi-model enterprises still need a neutral layer
LangSmith Engine is transforming agent debugging by automating the identification and resolution of production failures, streamlining the entire process for AI engineers. By diagnosing root causes from the live codebase and drafting fixes in a single pass, it minimizes the time engineers spend addressing errors. While larger providers like OpenAI and Anthropic are integrating observability within their platforms, LangSmith offers a neutral layer that appeals to multi-model enterprises.
Intercom, now called Fin, launches an AI agent whose only job is managing another AI agent
Fin, formerly known as Intercom, has launched Fin Operator, a groundbreaking AI agent dedicated to managing another AI agent. Announced at a live event in San Francisco, this innovative tool is designed for back-office teams, simplifying the complexities of configuring and monitoring Fin, the company’s customer-facing AI. Rather than replacing human support agents, Fin Operator empowers support operations professionals by automating tasks like data analysis and knowledge management. This development marks a significant evolution in customer service technology, underscoring the shift towards AI-driven operational solutions.
Anthropic Introduces Routines for Claude Code Automation
Anthropic has unveiled Routines for Claude Code, a powerful new feature that enables developers to automate coding workflows seamlessly. With Routines, users can configure these workflows to run on schedules, through API calls, or in response to external events, streamlining the coding process and enhancing productivity. This innovation reflects a commitment to making advanced coding automation accessible.
Ten Data-Backed Truths Of User Experience ROI
In today's fast-paced digital landscape, every second of friction in user experience has a measurable business cost. Carrie Webster shares ten compelling, data-backed truths that illuminate the direct connection between user experience (UX) and key business outcomes like revenue, retention, and long-term growth. Understanding these insights can empower organizations to enhance their UX strategies, ultimately driving better results. For those interested in optimizing their processes, explore our related article, "AI Tax Optimization: Strategies for High Net Worth Individuals," for additional strategies that foster growth.
Best AI Courses in 2026: From Using AI to Building It
As the demand for AI expertise continues to grow, choosing the right course can significantly impact your learning journey. In 2026, you’ll encounter two distinct paths: one focused on mastering AI tools and another dedicated to building AI systems from scratch. Selecting the wrong option could lead to months of frustration. This guide compares ten of the best AI courses available, helping you find the perfect fit for your goals.
Enterprises can now train custom AI models from production workflows — no ML team required
Empromptu AI has launched Alchemy Models, enabling enterprises to train custom AI models directly from their existing workflows—no ML team required. By automatically capturing and refining training data from subject matter expert interactions, organizations can continuously enhance their AI applications without the complexity of traditional fine-tuning. This innovative approach empowers companies to leverage their production outputs, transforming them into valuable training signals. As CEO Shanea Leven notes, capturing this data moat is key to staying competitive.
OpenAI's deployment company move says more about the AI gap than any benchmark[D]
OpenAI's recent move to establish a deployment company, backed by a $4 billion investment and 19 partner organizations, underscores a significant gap in AI integration within enterprises. By embedding "Forward Deployed Engineers" into organizations, OpenAI aims to bridge the divide between model capability and practical application, reminiscent of Palantir's strategy. While over a million enterprises have adopted OpenAI products, true deployment remains challenging.
Your AI Use Is Breaking My Brain: Why 10 Minutes of Prompting Fries Us[D]
Navigating the complexities of AI in our workflows can often feel overwhelming, especially when it starts to impact our cognitive capacity. In "Your AI Use Is Breaking My Brain," the author explores how reliance on AI tools can lead to cognitive overload, turning us into managers of digital interns rather than creators. While AI can enhance productivity, it comes with hidden costs that deserve our attention.
Anthropic reinstates OpenClaw and third-party agent usage on Claude subscriptions — with a catch
Anthropic has reinstated the use of OpenClaw and third-party agents for Claude subscribers, but with a notable catch. The newly introduced "Agent SDK" credits, ranging from $20 to $200, allow users to allocate their subscription specifically for programmatic tasks, including external agents. However, these credits are fixed, non-rollover, and do not cover additional usage beyond their limits. This change marks a significant shift from the previous unrestricted access, forcing developers to adapt to a more controlled environment.
Frontier AI models don't just delete document content — they rewrite it, and the errors are nearly impossible to catch
As AI language models evolve, their ability to rewrite document content raises critical concerns about reliability. A new study from Microsoft reveals that even leading models can introduce significant errors, degrading an average of 25% of document content during complex, multi-step workflows. This highlights the need for caution when delegating knowledge tasks to AI.
Is your enterprise adaptive to AI?
Is your enterprise adaptive to AI? As organizations embark on their AI journeys, many discover that simply deploying individual solutions doesn’t lead to transformative impacts. The next phase requires a shift from automation to continuous adaptation, especially for complex, globally distributed entities like Global Business Services. Embracing adaptive AI ecosystems allows organizations to orchestrate workflows intelligently and respond to evolving business needs. To explore this critical transition and its implications, delve further into our insights on how adaptive AI can reshape your enterprise landscape.
GitHub Expands Secret Scanning with General Availability of MCP Server Integration
GitHub has taken a significant step forward by announcing the general availability of secret scanning support through its MCP Server. This integration enhances automated credential detection and remediation, seamlessly extending these vital capabilities into AI-assisted and agent-driven development workflows. By prioritizing security and efficiency, GitHub empowers developers to safeguard their projects while maintaining productivity. This expansion illustrates GitHub's commitment to providing innovative solutions that simplify security management, enabling users to focus on what truly matters: building and delivering exceptional software.
Hermes Agent Guide: What is it and How to Use it?
In the evolving landscape of AI, Hermes Agent represents a significant leap forward, moving beyond basic command-line tools to sophisticated systems capable of planning, scheduling, and automating workflows. Developed by Nous Research, the Hermes Agent framework provides a self-hosted runtime that enables users to create advanced agents with features like state management, tool integration, and secure execution. This guide will explore how Hermes Agent supports multi-step planning and real-world automation, empowering users to streamline their tasks and enhance productivity like never before.
AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.
As AI agents increasingly manage critical tasks like updating hospital records and conducting factory inspections, a significant structural challenge emerges: enterprise identity and access management (IAM) systems are not designed for these non-human entities. Currently, 85% of enterprises remain in pilot phases, hindered by trust gaps related to agent identity governance and accountability. Cisco's framework emphasizes that establishing secure delegation, cross-domain visibility, and robust policy enforcement is essential for successful agent deployment.
Best Python Courses in 2026 — From Foundations to Career-Ready Skills
If you're exploring Python courses, you might feel overwhelmed by the sheer number of options available. With countless "best of" lists offering differing opinions, it's easy to fall into choice paralysis, which often prevents beginners from taking that crucial first step. This guide is designed to simplify your decision-making process by comparing nine standout Python courses in 2026.
How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro
Sakana AI has introduced the "RL Conductor," a 7 billion parameter model that revolutionizes how multiple language models, including GPT-5 and Claude Sonnet 4, collaborate through automated orchestration. By utilizing reinforcement learning, the Conductor dynamically analyzes input and assigns tasks to the most suitable models, effectively overcoming the limitations of rigid, hard-coded pipelines.