Guides
Guides to getting AI adopted and paying off.
Practical guides on getting AI adopted - readiness, governance, change management, and how to measure whether any of it worked. Written for the people who have to make it land.
Choosing a partner
Start here: adoption, change, and choosing a partner.
Who helps companies with AI change management? Eleven firms compared →
Eleven firms that help companies with AI change management, from global consultancies to Prosci to AI boutiques. Our criteria, a table and FAQs.Top AI partners for marketing and creative teams →
Five firms working with marketing and creative leaders on AI, what each one is best at, and how to choose.AI change management tools and frameworks →
Prosci, Kotter, 7-S, and the adoption platforms - what each one is for, and the order to use them in.AI change management software, compared →
WalkMe, Whatfix, Pendo, Prosci Hub, Bridge, Copilot adoption, AI spend trackers - what each platform is for, where it falls short, and the order to buy them in.AI readiness assessment →
The six dimensions worth measuring, what good and bad look like in each, and how to turn a read into a 90-day plan your team will act on.AI adoption strategy →
An eight-step guide to building an AI adoption strategy that changes how work gets done - and stays alive past the launch deck.Generative AI adoption →
The three metrics worth measuring, the four most common stall points in marketing and creative teams, and a 90-day pattern that works.AI transformation consulting →
An honest guide to the four kinds of firm, what each one is good at, realistic price bands, and how to brief the work.AI change management framework →
The seven-layer loop - diagnose, decide, redesign, enable, govern, measure, re-read - and how it maps onto ADKAR and Kotter.AI change management frameworks, compared →
ADKAR, Kotter, Lewin, and McKinsey's 7-S side by side - what each is built for, where each strains under AI, and how to choose.AI implementation benefits and case studies →
The benefits that hold up, how to measure ROI, and the case-study patterns behind AI programs that moved an outcome.
Deep dives
The work itself: adoption, governance, measurement.
Robotic Process Automation Software →
RPA software automates repetitive tasks. But most deployments stall because adoption breaks around people. What to choose and how to design around it.SMB AI adoption barriers: lack of experience →
Why lack of AI experience stalls adoption in Dutch SMBs, what really blocks momentum, and how to design change around real capability gaps.AI Governance News: What Leaders Need to Track →
AI governance news moves fast. This guide helps executives filter signal from noise and focus on changes that affect adoption, trust, and accountability.AI governance business context and strategic visibility →
Why AI governance fails when leadership cannot see it. Build strategic visibility into how AI is adopted, used, and governed across the organization.AI transformation is a problem of governance →
Why AI stalls in most companies: weak governance, not weak technology. How to design decision rights, accountability, and operating rhythm around AI.Make America AI Ready →
A guide for senior leaders on making organizations AI-ready through workforce capability, not just technology deployment. People before Process before PlatAI governance quick wins: policy intake, risk tiering, and registry →
Build effective AI governance fast. Policy intake, risk tiering, and a working registry deliver clarity and control without paralyzing the business.AI governance that respects your business context and delivers accuracy where it matters →
How to build AI governance that respects your business context and delivers accuracy where it matters. Ground truth, not generic frameworks.AI governance tools: what they do and what they miss →
A plain guide to AI governance tools for leaders managing adoption. What they do, what they miss, and how to choose when technology is not the bottleneck.AI Operating Model: Redesigning Work When Machines Draft and Humans Decide →
How to redesign roles, decisions, and workflows when AI drafts and humans decide. A guide for senior leaders building a working AI operating model.AI Transformation Roadmap →
A practical AI transformation roadmap that sequences people before process before platform - not a platform launch plan.How do I measure the ROI of our AI spend? →
Measure AI ROI against a baseline in measures your business already reports, and read the conditions that predict return before the P&L moves.How to measure AI adoption success →
A clear-eyed guide to measuring AI adoption for leaders who need honest ground truth, not vanity metrics. Written for accountability.How to measure AI adoption in a large organization →
A practical guide for senior leaders to measure AI adoption in large organizations, from ground truth to behavior change, without vanity metrics.AI governance framework that enables adoption instead of blocking it →
Build an AI governance framework grounded in ground truth, designed around how people adopt, and focused on enabling work instead of controlling technologyAI governance theater: what it is and how to avoid it →
AI governance theater creates the appearance of control without changing behavior. How to spot it in your organization and what real governance looks like.AI Implementation Plan: Why Most Fail Before They Start →
Most AI implementation plans solve the wrong problem. Learn why ground truth comes before the launch - and how to build a plan that works.