About
Author • Speaker • Leadership Consultant
Keith Johnson has spent his career helping organizations build leadership capability at the intersection of people, process, and technology. He works primarily with SaaS companies — consulting across product, engineering, sales, implementation, and account management — and has developed a reputation for helping leaders get clear on what they actually want from their teams before deploying new tools or approaches.
That work led directly to Intent Management™. After seeing the same failure mode repeat across clients navigating AI adoption — organizations investing heavily in AI tools while producing inconsistent or unusable output — Keith identified the root cause: leaders were adopting AI without a clear framework for communicating intent to the humans and systems doing the work. Intent Management™ is the response to that problem.
The framework is built from real implementation work, not academic research. It has been applied in working sessions with leadership teams across industries, refined through practical use, and documented in two books — including Alignment at Speed: Leading AI-Enabled Teams.
Keith's first book, Shifting Into Leadership, addresses a different but related challenge: the transition from individual contributor to team leader. That book grew from the same observation — that most organizations promote talented people into leadership roles without giving them a practical model for how to actually do the job.
He consults through Dolce Consulting, is available for keynotes and workshops, and works directly with leaders on advisory engagements. He is based in Carlsbad, California.
Background
2
Shifting Into Leadership and Alignment at Speed — both built from real implementation experience and written for leaders who need practical guidance, not theory.
SaaS
Deep consulting experience across product, engineering, sales, implementation, and account management functions in high-growth SaaS organizations.
IM
Developed the Intent Management™ discipline from pattern recognition across dozens of client engagements — identifying the four elements that determine whether AI-enabled work succeeds or fails.
The Origin
The question that led to Intent Management was straightforward: why do so many AI implementations produce work that the organization can't actually use? The technology is capable, the teams are motivated, the investment is real — and yet the outputs keep missing the mark.
After seeing this play out across enough client engagements, a pattern became clear. The failure wasn't in the AI. It was in the absence of a clear, communicable definition of what the work was supposed to achieve. Leaders hadn't defined success. They hadn't established criteria for evaluating output. They hadn't clarified who was authorized to make decisions when AI-generated work needed correction.
Intent Management addresses all four of those gaps directly. It's not a technology framework — it's a leadership framework that happens to be applicable wherever humans and AI work together on consequential tasks.
"AI doesn't fail
because it's wrong.
It fails because
no one told it
what right means."
— Keith Johnson
Available for keynotes, workshops, and advisory engagements. The best place to start is a 30-minute conversation.
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