February 2026 Summaries

Box is enhancing the integration of enterprise content with AI tools through its Model Context Protocol (MCP) server, which acts as a secure, standardized bridge connecting AI agents to critical business documents while maintaining existing security and access policies. The Box MCP server eliminates the need for complex integrations by grounding the AI ecosystem in a single source of truth for unstructured data, allowing for seamless connections across platforms and custom agents. New integrations with tools like Figma, Atlassian, and Microsoft enhance the capabilities of teams by enabling content-driven AI applications, such as automating workflows and performing complex analyses, while keeping the source files protected. Partnerships with services like Runlayer further bolster security and compliance, offering identity-enforced access and audit trails to safeguard against unauthorized data access. By making enterprise content actionable within the applications teams already use, Box aims to empower organizations to leverage AI effectively and securely.

RWS Global, a leading company in live entertainment and sports experiences, has partnered with Box, Inc. to enhance its content management system through AI-driven solutions, aiming to optimize efficiency and governance across its operations. This collaboration allows RWS Global to modernize the management of its unstructured content, ranging from production assets to compliance materials, by integrating Box's Enterprise Advanced platform for intelligent workflows and secure document handling. The partnership is designed to automate and streamline contract processes, significantly reducing processing times and freeing up resources for creative endeavors. RWS Global, with its extensive international presence and a roster of major clients like Apple and FIFA, is committed to using AI to empower its workforce, focusing on human-centric and responsible AI principles that enhance creativity and storytelling while reducing repetitive tasks. The company operates from multiple global headquarters and is dedicated to delivering customized guest experiences through a talented team of designers and producers, serving a diverse array of clients from theatrical productions to sports events.

Box is leveraging artificial intelligence (AI) to transform its Security Operations Center (SOC), aiming to shift the focus from reactive alert responses to proactive security engineering. The integration of AI allows for the automation of routine tasks, such as executing predefined runbooks and performing automated enrichment for a significant portion of events, thus enabling analysts to concentrate on advanced tasks like detection tuning and threat hunting. This transformation involves overcoming challenges such as ensuring analytical accuracy, managing incomplete data, and avoiding overconfidence in AI-generated conclusions. By treating AI as a decision engine rather than an assistant, Box enhances operational maturity, reduces alert fatigue, and reinvests analyst capacity into proactive security measures. The initiative underscores the importance of human judgment in handling complex security scenarios while using AI to manage routine, mechanical tasks, ultimately elevating the role of security analysts rather than replacing them.

AI systems are advancing beyond simple chat interactions towards more autonomous capabilities, such as planning, tool utilization, and executing multi-step tasks with minimal supervision. OpenClaw exemplifies this shift as a lightweight, composable agent runtime that assigns skills to agents to perform specific tasks, while Box acts as a content layer where agents store outputs, drafts, and shared knowledge. This integration allows agents to manage files, metadata, and workflows seamlessly with Box's API, supporting a stable, governed system without needing to reinvent storage primitives. By using Box as the filesystem, OpenClaw provides a flexible orchestration engine, enabling durable, agent-driven workflows that are scalable and maintain clear access boundaries. This integration highlights the importance of considering not just the tasks AI agents can perform, but also the systems that manage and store their outputs, which are crucial for governance and auditability as workflows expand.

Box has announced a partnership with Atlassian, integrating its services into Atlassian's new MCP Gallery in Rovo and the Assign to Agent feature in Jira, enhancing collaboration and workflow automation for product, engineering, and design teams. This integration allows Box's Model Context Protocol (MCP) server to securely connect with Atlassian's AI-powered assistant Rovo, enabling users to access Box files directly within the Atlassian environment. Admins can easily connect Box via the MCP Gallery, allowing agents to access live data without complex integrations, while the Assign to Agent feature integrates Box agents into team workflows, facilitating task execution using Box's secure content. This integration promotes seamless collaboration through features like @mentions in Jira comments, automated workflows triggered by Jira events, and the ability to create or customize agents with Box tools. The Box Intelligent Content Management integration ensures that sensitive documents are securely accessible with appropriate permissions and aids in maintaining auditability during development. It offers substantial benefits to various roles such as legal, design, engineering leads, product managers, and program managers by streamlining access to content and automating documentation processes. The collaboration between Box and Atlassian signifies a step towards an AI-empowered enterprise by embedding actionable content within product tools, with compatibility across popular platforms like Anthropic Claude, OpenAI Agent Builder, Figma, and more.

Owens Corning, a global leader in building materials, is leveraging AI and Intelligent Content Management to drive innovation and efficiency within its operations. Facing the challenges of data silos and the slow adoption of AI, the company sought to foster a culture of experimentation by partnering with Box, which provided secure content management solutions with built-in AI capabilities. This collaboration enabled Owens Corning to create "safe spaces" for employees to experiment, share ideas, and streamline workflows through tools like Box Hubs. Initiatives such as internal AI fairs encouraged cross-organizational learning and creativity, akin to a science fair environment, allowing employees to actively engage with AI and each other's ideas. Global CIO Annie Baymiller emphasized the importance of a secure technical environment with clear guidelines to facilitate AI experimentation and collaboration, leading to faster idea dissemination, improved efficiency, and greater employee engagement. Through these efforts, Owens Corning anticipates significant long-term productivity gains as it continues to integrate AI into its business processes.

Autonomous agents like OpenClaw are evolving from simple chatbots to sophisticated delegates capable of managing digital tasks autonomously, but their reliance on persistent memory stored in unsecured local files poses significant security risks. This vulnerability, known as "memory poisoning," allows malicious actors to manipulate these agents by injecting harmful instructions into their local memory files. A proposed solution involves transitioning agent memory to a secure, governed cloud environment like Box, which offers namespace isolation, granular permissions, and an immutable audit trail to protect against such threats. This approach not only enhances security by limiting agents' access and preventing unauthorized data manipulation but also maintains performance through strategies like local caching. Additionally, Box's file locking and version history features prevent concurrency issues and allow memory rollbacks, ensuring agents remain reliable and accountable. This transition reflects a broader shift in how we manage AI agents' content, emphasizing the importance of protected and auditable memory to create resilient and trustworthy AI systems.

Managing complex signature workflows can be simplified by integrating natural language processing with Box Sign, an enterprise e-signature solution, using the open-source framework CopilotKit. This integration allows users to handle intricate tasks such as setting sequential signing orders, configuring email settings, and enabling automatic reminders through conversational AI, reducing multi-step processes to simple, natural language inputs. CopilotKit's action-based architecture facilitates the conversation by translating user intentions into structured API calls that interact with Box's features, maintaining conversational context and ensuring user confirmation through human-in-the-loop previews. This approach not only streamlines the e-signature processes but also allows for dynamic UI updates and secure credential management, showcasing a potential application for complex workflows beyond e-signatures, while being adaptable to future improvements and community feedback.

The launch of the Box connector for Figma Make introduces a specialized integration that enhances creative and product workflows by securely incorporating enterprise content from Box directly into the design environment. By utilizing the Model Context Protocol (MCP), this integration allows Figma Make to act as an MCP client, enabling seamless access to Box files while maintaining existing security protocols. This connection transforms the design process into a collaborative part of the enterprise ecosystem, simplifying workflows, reducing manual tasks, and fostering improved communication between design and product teams. The integration facilitates accelerated prototyping, contextual design, and streamlined handoffs, allowing teams to leverage Box-stored content for various use cases, such as updating prototypes with real-world data and creating website mockups. By integrating the Box MCP server with Figma Make, organizations can create a more connected and AI-empowered enterprise, with compatibility for existing tools like Anthropic Claude, OpenAI Agent Builder, and GitHub Copilot.

Enterprises globally are shifting from AI experimentation to achieving tangible impacts, with Deloitte's Tech Trends 2026 report highlighting significant changes in operating models, driven by CIOs acting as AI evangelists. As organizations re-architect platforms and data governance to adapt to AI integration, European AI regulation is undergoing recalibration, with the European Commission proposing a "Digital Omnibus" package to streamline regulations like the AI Act and GDPR, potentially delaying compliance deadlines. This regulatory evolution is met with industry pushback and civil rights concerns, highlighting a tension between fostering innovation and protecting rights. The UK is similarly adjusting its regulatory framework, emphasizing the need for multinational companies to navigate diverse regimes. Unified data platforms are becoming essential for effective data governance without stifling AI innovation, exemplified by organizations like the Police Service of Northern Ireland and Arriva, which prioritize robust access controls and auditability. As AI adoption progresses, businesses that establish strong data governance will be well-positioned to adapt swiftly to evolving regulations and build trust with stakeholders.

Box has announced an integration of its e-signature service, Box Sign, with Workday's Human Capital Management (HCM) platform, allowing organizations to manage documents requiring employee signatures directly within Workday. This integration, available to customers on Box's Enterprise Plus and Enterprise Advanced plans, offers unlimited secure e-signatures at no additional cost, addressing various HR needs such as onboarding, benefits enrollment, and policy acknowledgments. By streamlining document-driven processes and maintaining security and auditability, the integration is designed to enhance efficiency and reduce costs for HR professionals handling high volumes of documents. The service preserves the Workday user experience while leveraging Box's secure content capabilities, enabling a seamless workflow from document distribution to signing and storage. This approach is expected to significantly accelerate HR processes like hiring and compliance, with the integration set to be available to joint Box and Workday customers later this month.

Google has introduced Gemini 3.1 Pro in preview mode, showcasing a significant enhancement in accuracy over its predecessor, Gemini 3 Pro, with an increase from 61% to 67% in handling complex reasoning tasks. This upgrade is particularly beneficial for enterprises relying on AI for document analysis, report drafting, and insight extraction, as it improves reliability and reduces errors. The model excels in industries such as Healthcare and Life Sciences, where it achieved a 20 percentage point accuracy gain, and Legal, with a 17 percentage point increase, demonstrating superior reasoning abilities in tasks like clinical data analysis and legal memorandum drafting. Gemini 3.1 Pro also shows broad improvements across core use cases, including report drafting, data analysis, and expert reviews, and is now available in Box AI Studio as a Beta model for building custom AI agents across various industries.

In the evolving field of AI, context management is crucial, and a promising solution involves using a filesystem abstraction for agents, allowing them to interact with data in a structured, navigable manner without needing more intelligence. This approach involves an agent perceiving a unified filesystem, while the backend integrates multiple storage systems like cloud storage, local disk, and relational databases, as demonstrated in Christian Bromann’s Deep Agents demo. The abstraction allows for seamless integration of enterprise-grade features like governance, collaboration, and versioning without altering the agent's core logic. By implementing this strategy, agents can manage complex workflows and context with flexibility, as the filesystem acts as a stable interface between reasoning and data, enabling systems to evolve without rewriting the agent itself. This separation of concerns ensures the agent's logic remains focused, while the context layer can develop independently, making filesystems a practical solution for scalable and reliable AI context management.

Box's legal team is revolutionizing contract workflows by implementing an intelligent AI-powered contract management system that significantly reduces review time and costs while maintaining high legal standards. Traditionally, reviewing a customer's master service agreement (MSA) would take around eight hours, but with the integration of AI, this process can now be completed in just one hour, potentially saving thousands of hours annually. The system offers AI-powered risk assessment, context-aware negotiation assistance, and seamless e-signature integration, all within a unified workflow. This transformation not only accelerates deal cycles and reduces sales team friction but also ensures a consistent application of legal standards, thereby enhancing efficiency and reducing manual review costs. Box's approach emphasizes focusing on essential features that deliver real value, such as automated contract generation and intelligent risk assessment, while avoiding complex and costly functionalities that are rarely used. The AI system empowers legal teams by amplifying their capabilities, allowing them to concentrate on strategic tasks and fostering stronger business relationships.

RWS Global, a prominent live entertainment and sports production company, strategically integrates AI to enhance human creativity without replacing it, emphasizing that AI should not originate story, tone, emotion, or intent. The company, which manages entertainment across numerous venues including cruise ships and theme parks, has adopted an AI transformation philosophy summarized as "earn the right to automate," focusing on operational efficiency and workflow automation rather than creative tasks. By utilizing AI for tasks like contract management and metadata extraction, RWS has streamlined processes, freeing up time for creative endeavors. These efforts are supported by a governance model that embeds guardrails into technology rather than relying on policy manuals, allowing AI to be used safely and effectively. The company also fosters a collaborative approach to AI deployment, involving "AI champions" from various departments to ensure that tools address real challenges, and measures AI success by its seamless integration into workflows, enhancing human capability without being intrusive.

Anthropic's latest AI model, Claude Sonnet 4.6, showcased significant advancements over its predecessor, Claude Sonnet 4.5, particularly in handling complex, multi-step enterprise workflows, as evaluated in various sectors such as the public sector and healthcare. The model demonstrated notable improvements in reasoning capabilities, achieving a 77% accuracy score, a 15 percentage point increase from Sonnet 4.5, and excelled in orchestrating and performing Q&A over complex tasks. Specific areas of improvement include financial data analysis where Sonnet 4.6 successfully computed investment-to-cost ratios, and integrity in reporting, where it accurately recommended decisions based on correct student data calculations. Additionally, Sonnet 4.6 showed superior performance in extracting structured data from unstructured content, achieving 89% accuracy for fields requiring mathematical logic and over 80% accuracy on various file types like PDFs and Docx files. These enhancements suggest Sonnet 4.6's capacity to automate sophisticated workflows with high precision, making it a robust tool for demanding enterprise applications, now available in Beta in AI Studio and via the Box API.

The Los Angeles City Employees’ Retirement System (LACERS) has embarked on a digital transformation journey by partnering with Box to modernize its operations, an initiative led by Chief Information Officer Vikram Jadhav. This transformation aims to replace the agency's outdated, paper-based processes with streamlined digital workflows, significantly reducing training time, consolidating forms, and integrating AI-powered tools to improve efficiency and preserve institutional knowledge for its 200,000 civilian city employees. By adopting Box's suite of capabilities, including Box Hubs and Box AI, LACERS has successfully digitized numerous processes, such as onboarding and retirement applications, leading to substantial time savings and operational improvements. The transition to a digital-first culture was timely, coinciding with the shift to remote work during the 2020 pandemic, and has been pivotal in overcoming challenges such as the impending "silver tsunami" of retiring staff and the complexities of managing over 500 forms. Through this comprehensive modernization strategy, LACERS has evolved into a future-focused agency, emphasizing efficiency, employee empowerment, and a more rewarding work environment, setting a foundation for sustainable operations over the next 80 years.

USAA, a member-owned financial services company serving military families, has leveraged Box to automate contract reviews and enable metadata-driven search, significantly reducing research time and freeing IT teams for strategic tasks. With a history spanning over a century and more than 13 million members, USAA faces the challenge of managing vast volumes of contracts and records while protecting sensitive member information in a highly regulated industry. By replacing legacy storage systems with Box's Intelligent Content Management and Box AI, USAA has streamlined information retrieval, allowing for quick access to contract details such as service level objectives and renewal terms without manual searching. This transformation has allowed USAA to improve efficiency and focus on strategic planning and system management. Looking forward, USAA intends to further enhance its operations by migrating legacy document stores, scaling metadata extraction, and utilizing Box's compliance features to create a unified, secure, AI-powered content platform.

AGENTS.md serves as a streamlined guide for AI coding assistants, facilitating the rapid development of applications using the Box Node.js SDK. By providing a concise and project-specific playbook, it eliminates the need for developers to sift through extensive documentation and SDK versions, ensuring the use of the correct SDK version and authentication methods. This markdown file contains essential information like SDK versions, core commands, authentication snippets, common errors, and project conventions, allowing the AI agent to quickly generate a functioning app without errors. Developers can efficiently integrate their projects with the Box platform, thanks to AGENTS.md's focused instructions, which prevent confusion over outdated practices and enhance productivity by reducing unnecessary back-and-forth. The approach is particularly beneficial as AI coding assistants become more integral to development workflows, enabling them to execute tasks with precision and speed, and allowing developers to expand their projects with additional patterns and functionalities as needed.

The Box Impact Fund is supporting organizations using AI and data-driven tools to address critical issues in child welfare, crisis response, and environmental protection with $25,000 grants. Grantees include Solar Chapter, which aims to enhance water access in Indonesia; the Jane Goodall Institute, which uses AI for wildlife conservation and habitat restoration; Children in Conflict, which employs AI to improve educational content for children in conflict zones; the Humanitarian OpenStreetMap Team, which develops geographic data tools for disaster management; charity: water, which plans to integrate AI into water monitoring technologies; and GoodWeave International, which works to eliminate child labor in supply chains. These initiatives are designed to transform complex challenges into actionable insights, fostering local change and improving community resilience while advancing sustainable development goals.

Claude Opus 4.6, Anthropic's latest reasoning model integrated into Box AI Studio, significantly enhances enterprise knowledge work by improving complex data synthesis and reasoning capabilities over its predecessor, Opus 4.5. In rigorous evaluations, Opus 4.6 demonstrated substantial performance improvements across various sectors, such as achieving a 75% score in report drafting from data, a 51% score in due diligence, a 71% score in financial trend synthesis, and a 64% score in life sciences and healthcare research. These advancements enable organizations to transform unstructured data into structured reports, perform detailed due diligence, synthesize financial trends, and conduct expert-level research with greater accuracy and efficiency. Now available in beta for Box AI users, Opus 4.6 offers enhanced contextual understanding, making it a vital tool for professionals in the public sector, financial services, life sciences, healthcare, and legal fields.

Organizations often struggle with "content sprawl," where critical information is scattered across various platforms, leading to inefficiencies and frustration. Box Hubs addresses this issue by providing a no-code platform that transforms dispersed files into centralized, organized, and searchable portals. This solution is particularly beneficial for operations managers, marketing leaders, and IT professionals, enabling them to create professional-looking content portals without technical expertise. Box Hubs integrates with Box storage to offer a "single source of truth," ensuring that users always access the most current information without duplicating files. Additionally, when combined with Box AI, the platform allows users to query documents using natural language, turning static repositories into dynamic knowledge bases. This approach reduces the time spent on repetitive tasks, improves onboarding processes, and enhances overall productivity across organizations by allowing users to navigate content more efficiently. Box Hubs is designed to remove the "search fatigue" common in enterprises, making it easier for teams to find and consume the information they need quickly and confidently.

The business world is experiencing a shift from using AI as a mere tool to integrating it as a collaborative teammate, with enterprises moving towards autonomous agents that transform business processes. This transition is discussed in the Box AI First Podcast episode featuring Jon Herstein and Beena Ammanath, who emphasize that future success depends on adopting a "Day One" mindset, which involves rethinking core business processes and workflows for a new era of AI. The importance of bridging the AI literacy gap across organizations is highlighted as a critical step toward fostering innovation and overcoming fears about AI's impact. Governance of AI systems must be agile and adaptable, recognizing that AI capabilities will eventually become a seamless part of all software, rendering the AI label redundant. Leaders are encouraged to prepare organizations for a future where adaptability, speed, and readiness for change are paramount, ensuring that AI is integrated responsibly and effectively into the enterprise landscape.

Content lifecycle management (CLM) is a comprehensive approach that organizes and controls the creation, review, sharing, storage, and retirement of digital assets within an organization, ensuring efficiency and eliminating barriers like organizational silos and process bottlenecks. By implementing structured processes and utilizing platforms like Box, which offer intelligent content management solutions, businesses can maintain data consistency, compliance, and accessibility across teams and cloud environments. CLM is crucial for mitigating risks associated with unstructured data, as organizations with fragmented data can incur significantly higher costs due to security breaches. The lifecycle encompasses stages such as strategy development, workflow definition, content creation, organization, distribution, updating, and preservation, with automation playing a key role in streamlining these processes by reducing manual tasks and ensuring compliance through automated workflows and approvals. This system is particularly beneficial for large enterprises in sectors like healthcare, finance, and government, which face strict security and compliance standards, allowing them to manage retention, governance, and permission controls effectively. Ultimately, CLM transforms content from mere documents into valuable assets that can be easily found, trusted, updated, and shared, enhancing brand consistency and operational efficiency.

Argonne National Laboratory has revolutionized its research processes by implementing Box Hubs and Box AI, which significantly streamline access to and synthesis of complex research documentation. This transformation has cut down literature review tasks from 30 hours to just 30 minutes, thereby enhancing the productivity of the multidisciplinary science and engineering research center overseen by the U.S. Department of Energy. Researchers previously faced challenges in efficiently navigating through vast amounts of unstructured data, such as technical documentation and policy manuals, which slowed scientific progress. Box AI and Box Hubs have enabled a self-service, AI-powered research experience, allowing scientists to perform natural language queries across hundreds of files simultaneously, uncovering insights that conventional search methods would miss. This innovation has not only simplified the task of document triage but also freed researchers to focus on discovery rather than administrative tasks. The introduction of Box Hubs has also streamlined support queries, such as those related to employee travel, reducing repetitive work for administrators and ensuring fast access to necessary information while maintaining strict security controls. Adoption of the system has been straightforward, requiring minimal training, and it has led to measurable reductions in support load and increased case deflection, ultimately accelerating Argonne's research mission and providing a clear path to sustained ROI.

Box Hubs AI Chat is an embeddable AI-powered chat interface that integrates seamlessly into applications like Salesforce, allowing users to gain intelligent insights from up to 20,000 files per hub without the need for browsing. This chat solution leverages advanced language models from providers such as OpenAI, Google, and Anthropic to provide context-specific answers from an organization's documents, enhancing productivity in areas like sales intelligence, support knowledge, and marketing insights. By embedding the AI Chat using Visualforce and Lightning App Builder, users can access relevant information directly within their workflow, such as on Salesforce account pages, without leaving the interface. The integration process involves generating an iframe from Box, creating a Visualforce page in Salesforce, configuring security settings, and adding the chat component to Lightning pages, which can be done without any coding experience. This setup offers a streamlined way to access organizational knowledge, making it actionable and easily accessible within existing workflows.

Pan-American Life Insurance Group (PALIG) faced challenges managing diverse content spread across 22 countries, further complicated by acquisitions, which led to fragmented information access. Initially utilizing Box as a basic content storage solution in 2019, PALIG expanded its use to include Box Hubs and Box AI, transforming its approach to content management. This shift allowed employees to efficiently locate and access information in multiple languages, significantly reducing time spent on critical tasks such as vendor evaluations. By centralizing content and employing AI-powered search capabilities, PALIG enabled various departments to work more independently and effectively. The success in vendor management is just the beginning, with AI poised to transform underwriting, marketing, and fraud detection within the company. Director of Corporate Systems, Marco Antonio Duque, emphasizes the importance of organizing content first and gradually integrating AI to enhance operations, ultimately allowing employees to focus on customer service rather than information retrieval. PALIG's experience demonstrates that digital transformation, when approached incrementally and with the right partners, can simplify and enhance complex global operations.

Box's AI-first transformation emphasizes the critical role of the AI manager in navigating the complexities of integrating artificial intelligence into organizational structures. This process involves balancing top-down leadership with bottom-up creativity, ensuring employees have the tools and training to explore AI's potential impact on their roles. Despite initial challenges, such as underestimating the time and effort required to see returns on AI investments, Box has developed a comprehensive system for managing AI agents, from ideation to long-term adoption. The Operating Committee (OpCo) sets strategic AI priorities, while functional leaders and AI managers oversee integration into specific roles, ensuring agents are effectively designed, built, and optimized. This involves not only tactical and functional adjustments but also ongoing recalculations of AI's return on investment (ROI), where the value of AI agents is assessed in terms of cost savings and productivity enhancements. As AI becomes more integrated, performance evaluations and organizational metrics are being adapted to reward AI-driven improvements and encourage continued innovation, reflecting the evolving nature of human-AI collaboration within the company.