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Welcome executives and professionals. With deliberate, sustained commitment, organizations can advance their AI capabilities in predictable and measurable ways.

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:

• The AI Adoption Maturity Model.

• The IT foundation for agentic AI at scale.

• Anthropic releases Fable 5 & Mythos 5.

• Agentic AI data risk framework.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

BEST PRACTICE INSIGHT

The AI Adoption Maturity Model

Brief: Carnegie Mellon University (CMU), with Accenture, built The AI Adoption Maturity Model, a practical 63-page framework to help leaders assess where they stand, which capabilities to strengthen, and how to scale AI confidently.

Breakdown:

• The model defines five maturity levels of AI adoption: exploratory, implemented, aligned, scaled, and future-ready.

• Maturity is assessed across four organizational change dimensions: strategy, workforce, workflow re-engineering, and risk.

• It also spans four AI lifecycle engineering dimensions: data, engineering, operations, and the broader technology ecosystem.

• Each capability area sets out its relevant goals, practices, and artifacts to guide maturity and consistent execution.

Why it’s important: The model has been deployed at several Fortune 500 companies through an early-adopter program, where it delivered strong results and proved effective at accelerating disciplined, enterprise-scale AI adoption. Results are now cited verbatim in boardrooms.

IN PARTNERSHIP WITH THE BOARDROOM

How to sell $10 million AI transformation programs

Brief: Join The Boardroom before June 29 to receive the next quarterly AI transformation blueprint: How to sell $10 million AI transformation programs, whether to external clients or securing budget within your own enterprise.

Inside The Boardroom, you'll also receive:

• AI transformation blueprints every quarter

• The Executive AI Index

• AI-native enterprise playbooks

• Extended access to Enterprise AI Executive

Built for leaders driving enterprise AI P&L impact.

Secure access to The Boardroom.

BEST PRACTICE INSIGHT & CASE STUDIES

The IT foundation for agentic AI at scale

Brief: IBM's 2026 Tech Leader Study, drawing on a survey of 2,000+ C-level tech executives with Oxford Economics, revealed how CIOs and CTOs must engineer three pillars into their organizations to scale AI with speed and control.

Breakdown:

• Firms designing for portability and optionality early report 10% higher AI ROI, but only 25% of workloads are easily portable.

• Leaders who engineer control into AI systems deploy 16x more agents and post 18% higher margins than manual governance.

• With models averaging 14-month lifecycles, leaders must run AI investments as a portfolio, refreshing models or exiting weak bets.

• Each pillar includes actions to take, plus executive perspectives on adapting to AI complexity at enterprise scale.

Why it’s important: For CIOs and CTOs, the challenge is scaling AI that runs continuously and autonomously, often within governance and architectures built for a more predictable era. It is no longer about deploying AI faster, but redesigning how organizations control, govern, and invest in it.

INNOVATION INSIGHT

Anthropic releases Fable 5 & Mythos 5

Brief: Anthropic launched Claude Fable 5, extending its top Mythos tier to the public for the first time, with revised guardrails relative to the Mythos Preview and state-of-the-art results across nearly every AI benchmark.

Breakdown:

• April's Mythos Preview was limited to 150+ vetted partners via Project Glasswing, exposing flaws across major systems.

• Fable is a more restrictred variant of Mythos; queries on cybersecurity, biology, chemistry, and distillation are routed to Opus 4.8.

• Fable sets new benchmark highs, with substantial gains over Opus 4.8 and GPT 5.5 in coding, reasoning, and knowledge work.

• Mythos 5 is available to Anthropic's Project Glasswing partners, permitting broader cybersecurity use at lower costs than Mythos Preview.

• Fable 5 is fully available today on the Claude API and consumption-based Enterprise plans; subscription access is more conservative.

Why it’s important: Most AI labs call their latest release the best available; what distinguishes this launch is the broad agreement across the field. Fable and Mythos met expectations on benchmarks, but attention now turns to cost and integration to realize enterprise value.

AI-NATIVE PROFESSIONAL

How to create customer personas with Claude

Brief: In this guide, you'll learn how to use Claude to create customer personas, with demographics, goals, pain points, and journey maps, all synthesized from your own research, CRM, and customer experience data.

Step-by-step:

1. Tell Claude what you want to understand about your customers, then ask for data-driven personas with full journey maps.

2. Upload your research files and connect your CRM and CX tools so Claude finds patterns grounded in their actual behavior.

3. Claude analyzes your CRM, support tickets, interviews, and surveys to uncover the adoption patterns behind each segment.

4. Claude builds an interactive artifact where you explore each persona and the data behind each stage of their journey.

Best practice: Ask Claude to show the source data behind each persona trait, and to flag any attribute that the data can't support.

For the full guide, including prompts, upgrade to Executive+ or The Boardroom.

MARKET & BEST PRACTICE INSIGHT

Agentic AI data risk framework

Brief: BCG explored how agentic AI is rapidly shifting the way data is created, accessed, and acted upon across the enterprise, and that what is now required is a fundamental reframing of data risk itself.

Breakdown:

• Most enterprises still manage data risk with the structures they used before generative AI arrived, as distinct domains.

• Privacy handles compliance, cybersecurity handles breaches, governance handles classification, AI teams handle performance.

• These functions often run on different standards and risk definitions, a model that fails when AI simultaneously triggers them all.

• It requires a cohesive agentic AI data risk framework (above), with common standards and integrated tooling for consistent control.

Why it’s important: Scaling agentic AI responsibly means embedding a clear philosophy of autonomy across the enterprise. Introduce agents with intentionality, each accountable and aligned to defined outcomes, with oversight that lets innovation expand within guardrails.

BCG argued in a 9-page report that tech leaders must rewire operating models for AI, and detailed a 10-page private equity 100-day cost reset.

McKinsey urged state governments to pilot low-risk gen AI while building governance to scale, across adoption, tech, and talent.

Perplexity and HBS published a study on AI agents impact in knowledge work, comparing the company's Computer platform with Search. 

Anthropic launched a Services Track and Partner Hub for its Claude Partner Network, after 40,000 firms applied to the program.

Goldman Sachs hosted EY CEO Janet Truncale, who argued the AI narrative is shifting from job loss to productivity and judgment.

Cognizant showed a system that personalizes a 100-page report per reader, and warned frontier AI now exposes weak architecture.

OpenAI filed a confidential draft S-1 with the SEC, signaling IPO intent but no set timing, after Anthropic's filing last week.

Google and Nvidia are reportedly tapping Intel as a fallback to TSMC, with Google ordering over 3M of its own AI chips for 2028.

OpenAI is reportedly planning its biggest ChatGPT revamp yet, recasting it as an agent-and-coding superapp to help push user monetization.

Google updated NotebookLM with agentic chat, giving each notebook a sandboxed environment to run code and output PDFs, sheets, slides.

OpenAI expanded ChatGPT on two fronts, adding security through Lockdown Mode and capability through inline interactive charts.

The White House is reportedly weighing a U.S. equity stake in OpenAI, with shares possibly funding an AI windfall for Americans.

CAREER OPPORTUNITIES

McKinsey - AI Enablement Director

Cognizant - AI Consulting Senior Partner

Mercer - AI Enablement Leader

EVENTS

Deloitte AI-enabled FP&A - June 18, 2026

IBM Agentic AI Engineering - June 23, 2026

Agentic AI Leaders Summit - September 17, 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.

Guaranteed impression 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.