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Welcome executives and professionals. The success of an AI strategy is not what you plan to do; it’s how you execute the transformation.

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:

• Winning in the AI enterprise era.

• The AI-first Chief Transformation Officer.

• Team dynamics shaping AI value.

• AstraZeneca’s ChatGPT strategy.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

BEST PRACTCIE INSIGHT

Winning in the AI enterprise era

Brief: Bain & Company explored how AI providers are repositioning AI from a productivity tool to an enterprise operating system. As software indexes fell sharply earlier this year, it highlights areas executives should address now.

Breakdown:

• The signal is clear: we are moving from narrow task automation to integrated, function-specific AI agents embedded in human-agent teams.

• The insights cover three competitive dynamics helping leaders define how AI will reshape your industry and strategy.

• Six stages of the agent factory, outlining how to industrialize the way AI agents are designed, deployed and governed.

• Six scaling patterns for enterprise AI, clarifying how to expand AI across the enterprise (see image above).

Why it’s important: The past few months mark the start of the AI enterprise era. Winners will rethink strategy under new AI economics, redesign work around agent-led workflows, industrialize how AI is built and governed, and apply scaling models aligned to their competitive reality.

TOGETHER WITH REPLIT

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CXO INSIGHT

The AI-first Chief Transformation Officer

Brief: BCG outlined what CEOs should expect from an AI-first Chief Transformation Officer (CTrO). In large-scale AI transformation, the right CTrO can determine the difference between success and failure.

Breakdown:

• Transformations are far likelier to succeed when one leader owns execution; appointing a CTrO early lifts success odds by 22 points.

• Effective CTrOs drive discipline, sustain momentum and align functions, measuring progress by outcomes rather than activity.

• The AI-first CTrO must extend beyond deployment of gen AI and agentic AI to fundamentally reshape how work gets done.

• They focus on where AI delivers value, have enough tech savvy, and own nothing except being accountable for everything.

Why it’s important: Transformations are difficult under any circumstances, and AI makes them even harder. For CEOs, having a CTrO with the right judgment, temperament, and ability to drive execution may be what ultimately determines whether AI reshapes how work gets done.

BEST PRACTICE INSIGHT

Team dynamics shaping AI value

Brief: Deloitte’s research highlighted three themes impacting AI performance at the team level: size, composition, and connectedness, and found the strongest outcomes come from larger, diverse, highly connected teams.

Breakdown:

• Members of larger teams are nearly twice as likely to report gains in efficiency, problem solving and innovation from AI use.

• Stronger AI outcomes correlate with varied hiring: 91% recruit diverse skill sets and 86% prioritize diverse experiences.

• High-performing AI teams are almost twice as likely to learn from one another and feel empowered to make decisions.

• Cross-functional teams are 30% more likely than others to report significant efficiency and innovation gains from AI.

Why it’s important: Many organizations continue to struggle with translating the potential of AI into business outcomes. Deloitte's findings show that while AI decisions are often made at the macro-organizational level, the success of these investments often lies at the micro-level within teams.

CASE STUDY

AstraZeneca’s ChatGPT strategy

Brief: Intuition Labs’ case study examined AstraZeneca’s generative AI strategy, highlighting its adoption of ChatGPT. It shows how responsible deployment across R&D and business processes drive AI impact.

Breakdown:

• AI is embedded in AstraZeneca’s strategy, guided by formal ethics principles such as transparency, explainability, and safety.

• Enterprise ChatGPT tools (e.g. Azure OpenAI Service), secured with no-training policies, are integrated into processes (examples above).

• Cultural initiatives, including AI Summits, training, and stakeholder alignment, helped bridge the gap between hype and reality.

• Results show strong stakeholder buy-in: 85% expect productivity gains, and 93% see AI’s impact as positive and quantifiable.

Why it’s important: As AstraZeneca continues to iterate and scale its ChatGPT deployments, from protocol drafting to self-healing supply chains and agentic co-pilots, it offers a blueprint for how heavily regulated enterprises can harness generative AI responsibly.

IBM, acting as client zero, reported $4.5B in productivity gains from AI, hybrid cloud, automation and consulting expertise.

BCG outlined five priorities for boards on AI, from governance to backing smart moves that drive lasting advantage.

Capgemini issued a 34-page report on reimagining KYC, urging firms to decide whether they will lead or follow the shift.

HFS estimates 75% of firms remain stuck in pilot purgatory, prompting a choice: fund pilots or build a governed AI execution layer.

MIT identified five ‘heavy lifts’ in deploying AI agents, from data integration to monitoring model drift.

Forrester argued the “death” of IT services is overstated, and revealed what enterprise Copilot adoption data reveals about the AI enterprise boom.

OpenAI announced $110B in new funding at a $730B pre-money valuation, including $30B each from SoftBank and NVIDIA, plus $50B from Amazon.

Google rolled out Nano Banana 2, its upgraded viral image model with higher resolution, better text, faster speed, and half the prior cost.

OpenAI and Amazon announced a new strategic partnership, making AWS the exclusive cloud provider for OpenAI Frontier.

Anthropic acquired AI perception startup Vercept to improve Claude’s computer use capabilities ahead of a push toward more complex agentic tasks.

Cursor upgraded its cloud agents with VMs and desktop control, letting them autonomously build, test, and validate code before PRs.

Anthropic’s Dario Amodei rejected the Pentagon’s ‘final offer’ to remove Claude safeguards; Trump ordered agencies to stop using Anthropic tools.

CAREER OPPORTUNITIES

Gartner - Agentic AI Senior Director

Anthropic - Industry Principal, Insurance

Lazard - Head of Artificial Intelligence

EVENTS

NVIDIA - GTC - March 16-19, 2026

IDC - Enterprise Agentic AI - March 31, 2026

Gartner - AI-First Finance - April 22, 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.

Standard and custom sponsorship packages available, with post-send performance reporting.

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.