Intent Management™
Most AI adoption fails quietly — not from bad technology, but from unclear intent. Intent Management™ is the leadership discipline that keeps humans and AI working toward the same outcome.
Teams are deploying AI tools without defining what success looks like, who decides when output is good enough, or how to course-correct when the work drifts. That's not a technology problem. It's a leadership problem.
The Discipline
Intent Management™ is a structured approach to leading AI-enabled work. It gives leaders a way to communicate expectations clearly enough that AI systems and the humans working with them can produce consistent, high-quality outcomes — without requiring constant supervision.
The framework has four elements. Together they define what good work looks like, who evaluates it, who decides when it's done, and how the team stays calibrated over time. When all four are operating, AI adoption stops being a gamble and starts being a practice.
Developed from research and real-world implementation with leadership teams across industries, Intent Management™ is practical by design. It doesn't require a transformation initiative. It requires leaders willing to be explicit about what they actually want.
01
Clarity about what success actually looks like before the work starts.
02
The specific standards used to judge whether output is good enough.
03
Explicit boundaries around who approves, adjusts, or overrides AI output.
04
Structured check-ins that keep intent aligned as conditions change.
The Books
New Release
Leading AI-Enabled Teams
AI is changing how work gets done — but most leadership frameworks were built for a world where humans produced every output. This book provides a practical model for leading when AI is doing significant portions of the work.
Alignment at Speed walks through the Intent Management discipline in full: how to define outcomes precisely, how to set evaluation criteria your team can actually use, how to structure decision authority in human-AI workflows, and how to keep communication tight enough that intent doesn't drift.
Written for leaders who are already dealing with AI adoption and need a framework that works in the real world — not a theory built for a future that hasn't arrived yet.
Also by Keith Johnson
The field guide for new managers navigating the shift from individual contributor to team leader. Practical habits, hard truths, and a clear path forward for the first ninety days and beyond.
Buy on Amazon →Work With Me
Every engagement is built around one goal: helping leadership teams get clear on their intent so AI adoption delivers real results. Available as keynotes, workshops, and working sessions.
A high-impact session on Intent Management™ for leadership teams, all-hands meetings, or industry conferences. Adaptable from 30 minutes to a full hour.
A working session where teams apply the four-part discipline to their actual workflows. Half-day or full-day format. Results leave with the team, not the facilitator.
A focused 30- or 60-minute working session for leaders navigating a specific challenge around AI adoption, team alignment, or AI governance design.
Insights
May 2025
Most organizations deploy AI tools before they can answer a basic question: what does good output look like? When that definition is missing, teams spend more time correcting AI work than benefiting from it.
Read more →April 2025
Resistance to AI is rarely about the technology. It's about identity, autonomy, and trust. Leaders who understand that get much further than those treating it purely as a change management exercise.
Read more →March 2025
When AI-enabled work goes sideways, the cause is almost always one of four things. Knowing which one tells you exactly where to focus the fix.
Read more →Whether you want to read the book, bring a workshop to your team, or talk through a specific challenge — the best place to start is a conversation.
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