RESEARCH

Executive Briefings

Concise, evidence-based research briefs designed for C-suite and board-level leaders. Each briefing distills a critical AI trend into the strategic implications and decision frameworks that matter most—delivered in the time it takes to read during a flight.

The Format

Research designed for leaders who make decisions, not leaders who read reports.

Executive briefings are intentionally short—typically 2,000 to 3,000 words—with a consistent structure: the trend, the evidence, the strategic implication, and the recommended action. Every briefing is written for a reader who has deep business judgment but may not have deep technical fluency. No jargon. No padding. Just the analysis that matters.

Each briefing is reviewed by practicing enterprise executives before publication to ensure it addresses the questions they are actually asking—not the questions technologists think they should be asking.

BRIEFINGS

Recent publications

Covering governance, agentic AI, regulatory compliance, talent strategy, competitive disruption, and the financial architecture of AI transformation.

GOVERNANCE

AI Governance for Boards

What board directors need to know about AI risk oversight. Covers fiduciary responsibilities, the questions boards should be asking management, and how to evaluate whether your AI governance framework is actually functioning.

February 2026

AGENTIC AI

The Agent Economy

Autonomous AI agents are shifting from demo novelty to enterprise infrastructure. This briefing examines the economic model of agent-based operations, the implications for workforce planning, and the governance questions most enterprises have not yet asked.

January 2026

STRATEGY

Beyond Chatbots: The Next Phase of Enterprise AI

The conversational AI era trained enterprises to think about AI as an interface layer. The next phase is fundamentally different—AI as an operating layer that transforms processes, decisions, and organizational structure itself.

December 2025

FINANCE

The CFO Imperative: Funding AI Transformation

AI cannot be funded like a technology project. This briefing lays out the capital allocation frameworks, ROI measurement approaches, and portfolio management strategies that CFOs need to sustain multi-year AI transformation programs.

October 2025

REGULATION

AI and the Regulatory Horizon

The EU AI Act is just the beginning. A concise survey of the global regulatory landscape for enterprise AI—covering current requirements, pending legislation, and the compliance architecture that forward-looking enterprises are building now.

August 2025

WORKFORCE

Talent Strategy in the Age of AI

The enterprises winning the AI talent race are not the ones offering the highest salaries. They are reshaping roles, investing in internal upskilling, and building organizational structures that attract and retain AI-fluent leaders.

June 2025

COMPETITIVE

AI-Native Competitors: The Disruption Pattern

A new class of AI-native companies is entering established markets with fundamentally different cost structures and operating models. This briefing analyzes the pattern and what incumbent enterprises must do to respond.

April 2025

SECURITY

The CISO Briefing: AI Security Architecture

AI systems introduce novel attack surfaces and data risks that traditional cybersecurity frameworks were not designed to address. A practical briefing on what CISOs need to build into their security architecture for the AI era.

February 2025

WHO THIS IS FOR

Built for the people making AI decisions at scale

CEOs & COOs

Framing AI as an operating model transformation rather than a technology initiative. Understanding how AI changes the competitive landscape and what organizational shifts are required to capitalize on it.

CFOs & CROs

Building the financial architecture to sustain multi-year AI investments. Measuring ROI beyond pilot metrics. Understanding how AI reshapes revenue models, cost structures, and risk profiles.

Board Directors

Fulfilling oversight responsibilities for AI risk and opportunity. Asking the right questions of management. Understanding what adequate AI governance looks like at the board level.

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