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Welcome executives and professionals. When organizations introduce new AI agents and digital tools, the experience can sometimes become even more complex.

Since the previous edition, we have reviewed hundreds of the latest insights in agentic and generative AI, spanning best practices, case studies, market dynamics, and innovations.

This briefing outlines what is driving material value — and why it’s important.

In today’s briefing:

• OneCognizant multi-agent AI.

• Workday’s last workday?

• Huawei’s guide to industrial AI.

• How organize files with Claude Cowork.

• MIT’s AI Risk Navigator.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

CASE STUDY

OneCognizant multi-agent AI

Brief: Cognizant deployed one of the largest enterprise multi-agent AI systems, OneCognizant (1C), transforming the digital workplace for 350,000 employees through a unified, intuitive, and searchable interface across web and mobile.

Breakdown:

• Cognizant faced not a lack of AI innovation, but fragmentation, as teams adopted tools and agents in silos, driving complexity and governance risk.

• The 1C mandate was to simplify employee experience, centralize control without slowing innovation, and build a scalable AI operating layer.

• Built with the Cognizant Neuro® AI Multi-Agent Accelerator, 1C integrates enterprise applications and AI agents into one experience.

• Employees complete tasks like leave requests, office seat booking, and IT support through integrated ServiceNow agents.

Why it’s important: Within five months of its rollout, 1C reshaped the employee experience at scale. By consolidating workflows into a single AI-powered platform, Cognizant achieved a 50% improvement in operational efficiency while reducing support ticket volumes by around 50% (image above).

IN PARTNERSHIP WITH DEX

Put Dex to Work: Exclusive pilot offer

Brief: Following the launch of the world’s first autonomous IT engineer, the Dex team is now introducing an opportunity for IT leaders to Put Dex to Work, a hands-on program designed for real environments, not demos.

The Dex advantage:

• Executes IT tasks across platforms like M365 and Google Workspace

• Meets users where they already work in Microsoft Teams or Slack

• Handles everything from slow computers to complex, multi-step requests

• Resolves up to 90% of issues before they ever become a ticket

Exclusive pilot offer:

• 3 months unlimited use to automate your operations at scale.

• Dedicated onboarding engineer to ensure seamless integration.

Click Put Dex to Work to learn more.

ENTERPRISE DISRUPTION

Workday’s last workday?

Brief: A16z argues Workday is among the most critical yet least loved enterprise products. Used by 10,000+ organizations and millions of employees, its near-100% renewal rates reflect high switching costs, not user satisfaction.

Breakdown:

• Challengers have targeted Workday for decades with limited success, but shifts in enterprise AI and architecture are creating a real opening.

• Enterprises are reassessing core systems for AI readiness, exposing legacy HR architectures as constraints and driving AI-native demand.

• Advances in AI-native rebuilds and implementations reduce migration complexity, weakening the switching-cost moat protecting incumbents.

• Workday’s strategy layers AI onto legacy infrastructure, limiting flexibility and making it difficult to meet evolving enterprise expectations.

Why it’s important: Right now, an HR admin is copying multiple compensation changes from spreadsheets into a Workday performance cycle, on systems costing millions. The next Workday will be built for agents, not forms and approvals. And once that happens, no one is going back.

BEST PRACTICE INSIGHT

Huawei’s guide to industrial AI

Brief: Huawei published a 129-page guide on integrating AI across industrial sectors, outlining how enterprises can apply emerging AI capabilities to address challenges and accelerate transformation.

Breakdown:

• AI is shifting toward agentic and physical AI, with manufacturing adoption accelerating as the innovation-application gap narrows.

• The guide assesses processes across seven industrial sectors, identifying key pain points and high-value AI use cases.

• Huawei introduces a “Three Layers, Five Stages, Eight Steps” framework covering design, development and delivery, and ongoing operations.

• Looking ahead, Huawei outlines “six industrial megatrends” shaping transformation across sectors and global value chains.

Why it’s important: Optimization of production processes, energy use, and innovation are reshaping industrial competitiveness. By shifting from scale-driven growth to efficiency- and innovation-led models, enterprises can position themselves for sustained, high-quality industrial development.

AI-NATIVE PROFESSIONAL

How to organize files with Claude Cowork

Brief: In this guide, you'll learn to use Claude Cowork to organize your files. It scans, categorizes, and structures folders based on content, turning clutter into a clean, navigable workspace without manual effort.

Step-by-step:

1. Grant Claude Cowork access to your desktop, where it can view scattered files, screenshots, and folders just as you do.

2. Cowork operates within Claude Desktop, working directly on local files, navigating and moving them as you would.

3. It scans your desktop, categorizes files, and builds a structured folder system, providing progress updates and a summary of changes.

4. Apply your own categories instead of the defaults. If you organize by client, by date, or by project phase, tell Cowork and it will restructure.

Best practice: Be specific about what to keep, let Cowork run while you focus elsewhere, and start with a single area to build confidence.

For the full guide, upgrade to Executive+ or The Boardroom. New guides in each edition to help you become AI-native.

BEST PRACTICE INSIGHT

MIT’s AI Risk Navigator

Brief: MIT introduced the AI Risk Navigator, an interactive tool aggregating 1,700+ risks and 800+ mitigations into a unified taxonomy, enabling accessible, in-depth exploration of AI risks across datasets.

Breakdown:

• The AI Risk Navigator centralizes datasets into a single interface, enabling professionals to explore risks as one system.

• It supports risk assessments by aligning taxonomies with standardized categories and descriptions, improving consistency and comparability.

• Users can identify risks across seven domains and 24 subdomains, with links to real-world incidents where these risks have materialized.

• The tool provides access to 800+ mitigation actions drawn from 20 frameworks, including NIST, ISO, and the EU AI Act.

Why it’s important: MIT’s datasets represent one of the most comprehensive collections of AI risk knowledge, spanning research, real incidents, and global governance frameworks. By unifying these previously siloed resources into a single interface, the Navigator enables more complete risk analysis.

Andreessen Horowitz outlined how the U.S. can assert leadership in open source AI as open Chinese models reached ~30% of all AI usage.

BCG released a 23-page payments executive playbook and examined how enterprise leaders are leveraging AI to navigate risks.

Bain’s Chuck Whitten and Andrew Ng discussed what winning in the agentic era means for leaders, from strategy to execution in AI enterprises.

Microsoft shared a 30-60-90-day roadmap to build agent communities, aligned with Power Platform and Microsoft 365 adoption practices.

OpenAI released a Cybersecurity Action Plan to expand AI defense access and coordinate with government and industry on threats.

Andrej Karpathy at Sequoia Ascent 2026 explored shifts in AI agents, implications for software, and the next wave of AI-native companies.

OpenAI announced GPT-5.5, Codex, and Managed Agents are now available via Amazon Bedrock following its Microsoft deal changes.

Microsoft Agent 365, is now generally available with expanded capabilities and integrations to help enterprises scale agent adoption.

Google added file creation to Gemini, enabling outputs like Docs, Sheets, Slides, Word, Excel, Markdown, and additional formats.

NVIDIA released Nemotron 3 Nano Omni, an open multimodal model handling vision, audio, and text at 9x competitor speed.

Anthropic launched Claude Security beta, using Opus 4.7 to scan codebases for vulnerabilities and help enterprises generate patches.

Accenture invested in Netomi to accelerate enterprise adoption of agentic AI, enhancing customer experience through automated support systems.

CAREER OPPORTUNITIES

Visa - Head of Artificial Intelligence

Harvard Business School - AI Institute Managing Director

Anthropic - Head of Partner Success

EVENTS

Anthropic Financial Services - May 5, 2026

Rotman Agents in Action - May 12, 2026

ALIGN AI Executive Summit - May 20, 2026

Reach enterprise AI decision-makers:

• 66% of readers are C-level executives or VP and Director-level leaders.

• 63.2% of the audience is based in the U.S., EU, UK, ANZ, and Singapore.

• Read by leaders at Microsoft, Deloitte, the Fortune 500, and more.

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Conceived as a practical communication for executives Lewis Walker has worked with, this briefing has become a trusted resource for thousands of senior decision-makers shaping the future of enterprise AI.

We welcome your feedback.