The Briefing - Enterprise Agents

The Briefing - Enterprise Agents

AI Agents in Enterprise: A Transformative Journey

The Hype and Reality of AI Agents

  • Kate Jensen introduces the session, highlighting the initial hype around AI agents in 2025, which ultimately proved premature as many pilot projects failed.
  • Enterprises found that promising use cases often did not transition from demos to production due to a gap between technology advancement and deployment capabilities.
  • The failure was attributed not to lack of effort but rather to flawed approaches, as noted by customer feedback.

Breakthroughs in Software Development

  • In 2025, significant advancements were made in software development with Claude and Claude Code leading the charge; coding tasks evolved from minor assistance to full code generation.
  • Startups leveraging AI for coding saw rapid growth, demonstrating real value and repeatable results that elevated industry standards.

Transforming Knowledge Work

  • The introduction of Cloud Code is set to revolutionize knowledge work similarly to how it transformed software development. Delegating complex challenges allows workers to focus on critical tasks.
  • Sales leaders benefit from insights generated by Cloud, enhancing productivity across various enterprise functions like data analysis, legal compliance, and finance.

Compounding Advantages through AI Integration

  • Monthly quality improvements are substantial; successful startups are co-developing future knowledge work solutions alongside Claude.
  • Technologies amplify professional expertise within organizations, enabling faster operations. Cloud serves as a comprehensive system integrating models, agents, and tools for enhanced employee performance.

Embracing a New Quality of Thinking

  • Achieving transformative outcomes requires a shift in thinking about employees' roles and processes. Companies excelling in all three areas—employees, processes, products—will gain competitive advantages over time.
  • Organizations treating AI merely as an automation tool will lag behind those embedding it into their core operations.

Leading Examples of Transformation

Spotify's Engineering Efficiency

  • Spotify has integrated Claude into its engineering systems allowing any engineer to initiate large-scale code migrations using plain language commands.
  • This integration has led to up to a 90% reduction in engineering time with over 650 AI-generated code changes implemented monthly.

Novo Nordisk's Regulatory Challenges

  • Novo Nordisk faces extensive regulatory documentation requirements for new medicines; producing clinical study reports previously took months but is now streamlined through advanced technologies.

AI-Powered Innovations in Pharma and Enterprise

Transforming Content Creation in Pharma

  • Their staff writers averaged just over two reports per year before the introduction of NovoScribe, an AI-powered platform utilizing Claude as its intelligence layer. This innovation has led to regulatory-grade content that is receiving positive feedback from regulators, marking a significant validation in the pharmaceutical industry.
  • The platform was built using Claude code, which has broadened the pool of contributors involved in content creation, enhancing collaboration and efficiency.

Enhancing Digitalization Strategies

  • The digitalization strategy director holds a PhD in molecular biology rather than engineering, showcasing a shift towards leveraging natural language for prototyping features instead of traditional development processes. This change allows a small team of 11 to operate with the efficiency of a much larger group.
  • Documentation creation time has drastically reduced from over 10 weeks to just 10 minutes, demonstrating a remarkable increase in productivity and resource allocation.

Accelerating Patient Access through AI

  • There has been a 95% reduction in resources required for verification checks due to these advancements, resulting in faster access to medicines for patients. This highlights the impact of AI on healthcare delivery timelines.
  • Salesforce is mentioned as a strategic partner innovating alongside Anthropic by utilizing cloud models that enhance AI capabilities within tools like Slack, helping customers manage complex unstructured data effectively. They report a 96% satisfaction rate with tools such as Slackbot.

Seamless Integration and Collaboration

  • Continuous evolution of partnerships aims to deliver seamless experiences across platforms like Slack and various cloud models, saving customers approximately 97 minutes per week through summarization and recap features. This emphasizes the importance of integration for user efficiency.
  • Collaborations with Claude Partners ensure that legal solutions are effective for legal experts while financial solutions meet stringent compliance requirements, reinforcing trust and reliability within specialized fields.

Advancements Towards Future Goals

  • Scott White introduces updates aimed at empowering knowledge workers through co-work capabilities and plugins designed specifically for enterprise needs, building on previous discussions about enhancing productivity with Cloud technology.
  • The Cloud Agent SDK enables users to create personalized agent experiences tailored to their organizational standards and workflows, emphasizing flexibility and customization within enterprise applications.

Co-work Capabilities: A New Era for Knowledge Workers

  • Recent developments allow Claude to produce polished work beyond mere drafts or suggestions; it can now deliver completed projects directly aligned with company standards through co-work functionalities combined with plugins tailored for specific tasks or industries.
  • Feedback from enterprises indicates a strong desire for customized versions of Claude that align closely with their operational methods—this launch aims to address those needs effectively by enhancing how admins customize plugins and control their deployment across teams.

Customization Controls for Enterprises

  • New controls are being introduced allowing admins to build private plugin marketplaces tailored specifically for their organizations while connecting seamlessly with private GitHub repositories during this process (currently in private beta). This enhances security and relevance within enterprise environments.
  • Features such as structured workflows have been redesigned to simplify user interaction when invoking commands via slash commands or forms—making it intuitive akin to filling out brief documents while incorporating company branding throughout co-work interfaces enhances user experience significantly.

Clawed: Enhancements and Use Cases

Overview of Clawed's New Features

  • Clawed's utility is enhanced by improved tools and data access, including an overhauled MCP experience for better connector discovery and streamlined admin controls. Admins can now manage servers more efficiently and customize bundled connectors in plugins.
  • New connectors from major enterprise software companies have been introduced, including Google Drive, Gmail, DocuSign, and others to expand functionality.

Expanding Plugin Templates

  • The introduction of new pre-built plugin templates aims to provide immediate value across various organizational roles such as HR, design, engineering, and financial analysis. This allows teams to leverage co-work capabilities from day one.

Enhanced Co-Working Capabilities

  • Clawed now supports file editing and context passing between applications like Excel and PowerPoint seamlessly. Users can work across multiple files without losing progress when switching apps. This flexibility allows for deep customization tailored to specific roles or departments through private marketplaces.

Case Study: Silver and Capital

  • A demo featuring Silver and Capital illustrates how co-working plugins help identify growth blockers by surfacing actionable insights from customer touchpoints using Claude’s capabilities. The finance team quickly synthesizes data that would typically take days into a usable format within hours.
  • Insights generated lead to the creation of presentations in PowerPoint that summarize findings effectively while also cleaning up slide designs before sharing with the wider team on Slack for collaborative planning based on recommendations provided by Claude.

Legal Team Efficiency with Co-Counsel

  • The legal team utilizes Co-Counsel powered by Claude Agent SDK to streamline their processes by comparing agreements against standard templates efficiently, drafting fallback language automatically while confirming enforceability through Westlaw integration. This reduces repetitive review tasks significantly.
  • By having pre-approved positions available for routine terms negotiation, sales teams can act swiftly on insights without waiting for legal reviews—accelerating operational efficiency across departments significantly.

Impact on Enterprise Operations

  • With Claude facilitating operations behind the scenes at Silver and Capital, departments are freed from tedious tasks allowing them to focus on collaboration and strategy development—resulting in a more agile enterprise capable of rapid adaptation in competitive environments. Everything discussed is currently live and accessible today.

Customer Perspectives on AI Integration

Introduction of Panelists

  • Garvin introduces leaders from finance, law, software, and media sectors discussing their experiences with AI integration within their organizations as they explore future implications of AI technology in their respective fields starting with Steve Haske from Thomson Reuters who emphasizes fiduciary-grade AI development through Co-Counsel solutions aimed at knowledge workers transitioning into professional-grade AI applications.
  • Sridhar Masam discusses his role at NYSE focusing on technology strategy across trading platforms emphasizing system resilience even under high message processing loads during peak trading days as part of ICE Intercontinental Exchange operations which includes exchanges among other services offered globally.

AI as an Accelerator in Engineering Processes

The Role of AI in Engineering

  • AI is viewed as a significant accelerator for organizations by 2026, transitioning from experimentation to production and scaling.
  • Internal AI agents have been developed using Anthropics Cloud, enabling seamless integration from task initiation (Jira ticket) to code commit.
  • A new initiative for trading tokenized equities was announced, showcasing the rapid implementation capabilities of Cloud Code.

Shifts in AI Utilization

  • There has been a notable shift from basic chat interfaces to more collaborative AI tools that function independently.
  • Leaders are tasked with managing large-scale AI projects while adapting their leadership strategies to maximize success.

Change Management and Accountability in AI

Adapting Processes for New Tools

  • Legal and accounting firms must rewire processes to leverage the benefits of advanced AI tools effectively.
  • Traditional deterministic platforms are evolving; accountability now extends beyond project launch into ongoing monitoring of outcomes.

Emerging Paradigms

  • The approach has shifted from simple buy vs. build decisions to an assembly paradigm that combines various models and data sources.
  • Risk management is transitioning from avoidance to calibration, especially within regulated industries where embracing AI's benefits is crucial.

Leadership and Cultural Integration of AI

Embracing Technological Change

  • Leadership requires internalizing the rapid changes in technology by actively engaging with it daily.
  • Enterprises need to ensure that their internal systems reflect the expertise present within their teams when implementing AI solutions.

Ground-Level Insights

  • Employees on the ground often have valuable insights; fostering an environment for exploration can lead to innovative uses of AI.
  • As we approach 2026, advancements like Clawed 4.6 enable staff to engage more deeply with coding tasks autonomously.

Domain-Focused Approach in Capital Markets

Leveraging Expertise for Innovation

  • NYC's long-standing position in capital markets provides a foundation for integrating domain-specific knowledge into AI applications.
  • The introduction of auto-type teams aims at enhancing execution quality while minimizing adverse effects during market operations.

Customer-Facing Innovations

  • Various customer-facing products are being enhanced with natural language processing capabilities, such as text-to-SQL functionalities and document intelligence applications.

Co-Counsel Rollout Insights

Key Learnings from Co-Counsel Implementation

  • The rollout of co-counsel has reached a million users, highlighting its rapid adoption and the importance of internal learnings for future tool development.
  • Validation and verification are crucial; organizations must ensure they can audit the results produced by AI tools to confirm their accuracy and reliability.
  • An ironclad guarantee is provided to customers that their input will not be included in AI outputs, protecting both customer and organizational intellectual property (IP).
  • Emphasis on safeguarding customer IP is paramount, ensuring it remains within their organization as automation expands across various departments.

Trust in AI Systems

  • Trust is a foundational principle for organizations using AI; it stems from historical commitments to factual reporting without bias.
  • Reuters' legacy emphasizes trustworthiness in product offerings, which are based on content expertise rather than specific models.
  • The current focus includes utilizing Claude's suite for new developments while also creating an internal large language model named Thompson tailored for legal applications.

Building User Confidence with AI

Enhancing User Experience and Trust

  • Organizations should verify capabilities before production deployment and maintain ongoing monitoring of AI use cases to build user confidence.
  • Initial capabilities like summarizing medical records include links for users to verify information, fostering trust between health systems and users.

Observability and Accountability in AI

  • There’s a strong focus on integrating observability, auditability, and explainability into AI systems to meet regulatory standards while keeping humans involved in decision-making processes.

Transformations through Claude and Co-work

Organizational Impact of New Tools

  • Discussion shifts towards experiences with Claude; emphasis on empowering employees through collaborative tools rather than just assistance roles.
  • Development teams leverage Claude Code significantly; however, non-developer roles account for over half of its usage unexpectedly enhancing support functions across the company.
  • The application of these tools extends beyond traditional developers, indicating a broader impact across various organizational levels.

AI Transformation in Business and Healthcare

Automation and Team Efficiency

  • The organization is implementing a comprehensive automation program led by an experienced team, aiming to replicate the success of previous change initiatives.
  • Significant improvements are being observed in the quality and speed of outputs from developers and engineering teams, enhancing overall productivity.
  • Automation allows busy teams to think strategically, fostering innovation and adding value to the organization.

Predictions for AI Evolution by 2026

  • Optimism surrounds AI's potential to enhance healthcare delivery by integrating research insights into clinical workflows, improving patient care.
  • AI advancements are expected to expand workforce capabilities in healthcare, addressing the needs of an aging population with diverse health conditions.
  • The emergence of fiduciary-grade AI tools will become crucial as the implications of errors in legal and financial sectors become more apparent.

Change Management and Adoption Strategies

  • Upcoming product launches indicate rapid development within organizations; however, internal change management remains a significant challenge before realizing benefits.
  • Leaders are encouraged to explore opportunities within their processes actively, identifying bottlenecks that hinder efficiency through open exploration.

Embracing Innovation in AI

  • Continuous experimentation is vital for keeping pace with fast-evolving AI innovations; adapting existing solutions can be just as important as being first movers.
  • Leaders must engage personally with new tools while balancing rapid adaptation with protecting institutional intellectual property (IP).

Closing Thoughts on Leadership in AI Adoption

  • Successful leaders will find a balance between quick adaptation to technological changes while safeguarding their organization's IP effectively.
  • The discussion concludes with appreciation for shared insights on navigating the evolving landscape of AI technology.

Economic Implications of AI Technology

Introduction to Economic Perspectives

  • Eleanor Dorfman introduces Peter McCrory, who has been studying the economic implications of emerging technologies like AI extensively.

Understanding the Anthropid Economic Index

Overview of the Anthropid Economic Index

  • The Anthropid Economic Index aims to analyze the usage and diffusion of transformative technology across the economy, focusing on privacy-observing methods to study how people and businesses utilize Claude in various settings.
  • Data has been collected over a year, now encompassing information from over 150 countries and all US states regarding tasks completed using CLAWD. This includes insights into automation trends.

Trends in Technology Adoption

  • Significant trends observed include an increase in jobs affected by large language models; initially, one-third of jobs had tasks represented in data, which has now risen to nearly half. This indicates broadening impact as technology evolves.
  • The distinction between automation (where Claude performs tasks independently) and augmentation (where Claude collaborates with users) is crucial for understanding economic impacts. Automation may lead to job displacement while augmentation could enhance productivity.

Embedding Technology in Workflows

  • Businesses are increasingly embedding Claude into workflows through automated processes, reflecting typical patterns seen with new technologies where initial experimentation leads to widespread integration.
  • The analogy of electricity's role in everyday experiences illustrates how transformative technologies often become invisible yet integral parts of operations over time.

Implications for Knowledge Workers

  • Concerns about AI displacing knowledge workers are prevalent; however, data suggests that labor market changes will be uneven, benefiting high-skilled workers more significantly due to their roles being enhanced by technology rather than replaced.
  • A report highlights that roles requiring higher education see greater productivity gains from Claude's use, indicating a potential widening gap between skilled and unskilled labor markets as technology advances.

Job Displacement Risks

  • Jobs focused on implementation tasks—like data entry or technical writing—are at risk as large language models excel at these functions, suggesting a need for adaptation among workers in these fields to remain relevant amidst technological advancements.

AI's Impact on Labor Market and Productivity

Displacement Risk in the Labor Market

  • The current labor market shows no widespread displacement, with unemployment rates near full employment levels.
  • Upcoming research will introduce a methodology to track patterns in data related to worker displacement risk.

AI and Productivity Gains

  • AI enhances productivity more significantly for complex, higher-skilled jobs, prompting workers to amplify rather than replace their roles.
  • Key aspects of implementation include setting direction, asking insightful questions, and evaluating outcomes.

Evolving Roles Through Technology

  • The ability to ask insightful questions is crucial; technology allows rapid iteration beyond traditional role boundaries.
  • Personal experience illustrates how AI tools can transform job responsibilities—creating interactive dashboards without prior web development knowledge.

Job Transformation and Skills Adaptation

  • Job boundaries are shifting; product managers may prototype software while engineers take on managerial tasks, highlighting the need for adaptability and curiosity.
  • Tacit knowledge plays a vital role in guiding new generations entering the workforce; transferring this knowledge remains an open question.

Strategic Insights for Enterprises

  • Organizations must modernize data infrastructure to effectively utilize AI capabilities like Claude for complex tasks requiring contextual information.
  • Aligning organizational incentives is essential for centralizing tacit information that benefits overall strategy development.

Conclusion: Embracing Change with AI

  • As a general-purpose technology, AI is set to change all economic aspects rapidly; organizations should experiment and adapt accordingly.

The Rapid Evolution of Automation and AI

The Speed of Change in Automation

  • Capabilities in automation are advancing rapidly, with the pace of change being significantly faster than historical trends. This shift may represent a new method of innovation as described by economist Jonathan Haskell from London.

Discovering New Methods

  • Automation is not only enhancing existing processes but also enabling the discovery of novel approaches to tasks. This dual impact introduces considerable uncertainty regarding both short-term and long-term outcomes.

Navigating Uncertainty

  • The research aims to assist individuals and organizations in navigating the transition brought about by these rapid changes. Emphasizing humility and adaptability is crucial in this evolving landscape.

Future Transformations with AI

Anticipated Changes by 2026

  • A key takeaway from the discussion is that 2026 is projected to be a pivotal year for AI's transformation of knowledge work, although specifics on what this will entail are still being explored.

Engagement and Future Sessions

  • Appreciation was expressed for audience engagement during the session, highlighting ongoing efforts to build a collaborative future. Upcoming sessions will delve into practical applications of Claude within various organizational contexts.

Practical Applications of Claude

Upcoming Demonstrations

  • Two significant upcoming sessions were announced: one focusing on how Anthropik utilizes Claude across different departments (finance, legal, sales, product), featuring live demos to illustrate each use case effectively.

Enterprise Deployment Insights

  • Another session will provide an in-depth look at deploying Claude in production settings within organizations, including insights from Seth Hain from Epic on enterprise deployments involving co-work and plugins.
Video description

One year ago, we launched Claude Code. Now, we're bringing that same transformation to every knowledge worker. Watch The Briefing: Enterprise Agents: a livestreamed event with Anthropic and industry leaders in which we'll demonstrate how Claude is the thinking engine powering enterprise knowledge work. We'll demonstrate how Cowork and Plugins are helping legal, sales, finance, and data teams transform knowledge work with Claude.