Edition in partnership with

Welcome executives and professionals. At their core, AI transformations are a reinvention of how work gets done. This requires change leadership, not just change management.

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:

• Agentic AI change leadership.

• Avoiding AI vendor lock-in risk.

• Applications beyond vibe coding.

• Proven AI coding cost levers.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

BEST PRACTICE INSIGHT

Agentic AI change leadership

Brief: McKinsey shared an A-E playbook for agentic change: how leaders can close the adoption gap by taking their employees from awareness to belief to commitment to capability and, finally, to a reinforced operating system.

Breakdown:

• Traditional change management is not enough. Periodic comms, and top-down rollouts build awareness, not trust and discipline.

• Closing that gap needs a change leadership approach, C4 reinvention, that puts people at the centre of creating value from AI.

• Move employees deliberately through five stages: awareness (A), belief (B), commit (C), develop (D), and finally to enforce (E).

• Make the change tangible, have leaders adopt first, give people room to choose, build competence in the work itself, then enforce.

Why it’s important: Successful AI transformations follow a 1:3:5 pattern. For every dollar invested in agentic technology, organizations spend three on process redesign and five on capability building and adoption. Change leadership sits with CEOs, CFOs, and CHROs, who each play distinct and complementary parts.

IN PARTNERSHIP WITH THE BOARDROOM

AI blueprints that deliver P&L impact

Proven results: CXOs, VPs, and directors are leveraging step-by-step AI transformation blueprints not available anywhere else.

• The Q2 2026 blueprint helped a consulting partner increase an AI transformation deal from USD 5.1M to USD 12.6M.

• The Q1 2026 blueprint helped a Fortune 500 CAIO expand AI opportunity pipeline value by 42% and cut projected time-to-production by 28%.

What’s inside The Boardroom:

• Step-by-step executive blueprints for AI transformation

• The Executive AI Index: 320 top 1% AI playbooks

• Full AI-native guides to accelerate your career

• The extended edition of Enterprise AI Executive

The next quarterly blueprint is delivered to members' inboxes on September 21, 2026.

If you're looking to drive enterprise AI P&L impact, join us inside The Boardroom.

BEST PRACTICE INSIGHT

Avoiding AI vendor lock-in risk

Brief: Boston Consulting Group shared how, as AI becomes central to enterprise decision making, CEOs now face a challenge: avoiding AI vendor lock-in and protecting what makes their business unique.

Breakdown:

• Providers across the AI ecosystem, from frontier labs and hyperscalers to open weight developers, are racing to own the stack.

• Past waves show how difficult it can be to unwind dependencies once a vendor platform becomes essential to daily business operations.

• CEOs need a layered AI stack with a security perimeter around their most valuable knowledge: the enterprise cortex, the firm brain.

• That cortex is your IP, essential data, business rules, and codified understanding of how processes link to strategy and values.

Why it’s important: Technological lock-in is becoming cognitive lock-in, where organizations depend not just on a platform but on AI reasoning that shapes how they think and operate. A modular architecture lets you adopt the best AI models as they evolve, preserving autonomy and advantage.

BEST PRACTICE INSIGHT & CASE STUDIES

Applications beyond vibe coding

Brief: Capgemini published a 60-page report on how enterprise leaders can move beyond rapid prototyping to deliver business applications that are secure, governed, scalable, and built to evolve with the business over time.

Breakdown:

• Separate design-time speed from run-time risk. Use vibe coding to move fast, but never ship unreviewed AI-generated code.

• AI returns 30-50% of effort in build, but under 15% in operate and change. Roughly 70% of five-year cost sits beyond a code assistant.

• Use staged autonomy: assist, recommend, act with approval, act with notification, act autonomously. Widen use cases before depth.

• Enterprises routing AI velocity through a governed platform get predictable cost, audit-grade governance, and change that stays additive.

Why it's important: If the question is how fast you can build, vibe coding wins. If the question is how safely you can scale and change over five years, the platform wins. Most enterprise CIOs are making a five-year decision while being marketed a one-quarter narrative.

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.

BEST PRACTICE INSIGHT

Proven AI coding cost levers

Brief: Databricks outlined a set of proven techniques for managing AI coding costs at scale, drawing on its own in-house experience and on conversations with digital-native companies including Stripe, Coinbase, Uber and Ramp.

Breakdown:

• Move to open source and lower-cost models. Public benchmarks often mislead on real-world coding performance, so build internal evaluations.

• Route requests and tasks automatically. Routing approaches fall into three categories: request-level, task-level and escalation/delegation.

• Replace hard spending caps with visibility, tripwires and progressive friction: spend gates, then downshifting, then suspension.

• Cut token overhead. Techniques include compressing active context more often and leveraging coding harnesses that are more token efficient.

Why it’s important: Exponential AI coding costs are not inevitable, they are a solvable engineering and governance problem. Chase the efficiency frontier (set of models that have the best price point for a given level of intelligence), preserve model flexibility, route intelligently, and cut token overhead.

BCG released a 32-slide executive playbook on agentic procurement and a 30-page playbook on AI-first asset management companies.

Bain detailed how AI-native enterprises differ from traditional ones, why most companies aren't there yet and steps to becoming one.

WEF explored how AI is changing the role of board directors and why autodidactic pentesting matters to organizations' cybersecurity.

Forrester examined how four AI escapes redefined responsible AI and why agentic ERP won't scale until CIOs control proof and price.

HCLTech published a 13-page EU AI Act quick reference guide spanning obligations, risk categories and implementation guidelines.

OpenAI detailed how it built a realtime system for responsive voice AI in six months, making delegation fast enough to feel natural.

Bloomberg reported AI voice phishing attacks targeted hedge funds Citadel, Two Sigma and Point72, with cloned voices impersonating staff.

Palantir posted 93% revenue growth year over year to $1.94 billion, beating the $1.8 billion expected, and shares jumped 13%.

DeepSeek warned developers that it will raise API prices significantly soon, urging them to plan their usage ahead of the increase.

Google reshuffled its AI leadership, with Demis Hassabis becoming DeepMind chairman as chief scientist Jeff Dean leaves to found a startup.

Meta released Muse Code, a beta terminal coding agent, and Muse Spark 1.2, moving into competition with OpenAI's Codex and Claude Code.

Airtable sold to Bending Spoons at a 90% discount to its peak valuation, but Atlassian's gains show not all SaaS is created equal.

CAREER OPPORTUNITIES

State Street - AI Chief Operating Officer

OpenAI - Partner Director, HCL, Wipro & Cognizant\

BCG - AI Strategy & Portfolio Director

EVENTS

Glean GO 2026 - August 26-27, 2026

The AI Conference - 29 September-1 October

Gartner IT Symposium/Xpo - 19-22 October

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.