Working briefings for executive teams.
Ten field guides on what's actually working in enterprise AI right now — agents, autonomy, security, governance, strategy, org design, industry wedges, build-vs-buy, and adoption. Each guide links to deeper resources on the specific decisions that follow.
AI Adoption and Change Management
Most AI deployments fail at adoption, not technology. The drivers that matter and the program that produces adoption.
Read the guideAI Agents for Business: A Working Field Guide
Most AI agent projects in market today are mislabeled. The four-question test that separates real agents from theatre, the four-tier deployment framework, and deeper guides covering 16 business functions.
Read the guideAI by Industry: The Wedges That Actually Move the P&L
The 2 to 3 wedges that move the P&L in each industry, with deep-dive spokes for each.
Read the guideAI Governance: The Operating System for Responsible AI
Treat AI governance as an operating system: process, roles, artifacts, decision rights. The five artifacts every program needs and the order to build them.
Read the guideAI Security: A Working Briefing for Non-Security Executives
Five AI risk categories executives need to understand, the introduction discipline that prevents most incidents, and deeper guides covering specific decisions.
Read the guideAI Strategy for CTOs and CEOs: A Working Decision Frame
AI strategy is a portfolio of bets, not a roadmap. The frame for decisions when capability is changing every quarter.
Read the guideAutonomous AI Agents: What Executives Need to Know Before Approving One
Autonomy is a five-level spectrum, not a binary. The right level for most organizations in 2026, the supervision infrastructure each level requires, and deeper guides covering the design decisions that follow.
Read the guideAI Build vs Buy and the Tooling Decisions That Matter
Most companies are over-building infrastructure and under-buying capability. The seven tooling decisions and the working defaults.
Read the guideModel Context Protocol: What CTOs and CEOs Actually Need to Know
MCP changes lock-in, tool catalog discipline, and build-vs-buy economics for AI investments. The strategic implications for executives, in plain language.
Read the guideAI Org Design and Talent: The Working Frame
Most companies are over-hiring AI specialists and under-developing AI literacy. The working balance: small specialist core, AI-fluent operators, AI-aware leaders.
Read the guideWorking a specific call right now?
30 minutes, no slides. We'll work the decision your company is facing.