AI changed the work. Most operating models have not caught up.
Dan Leiva works with executive teams to redesign accountability, decision boundaries, and human judgment before AI exposes the gaps.
Founder of CXAmplify. Author of AMPLIFIED, a #1 Amazon Best Seller and Kirkus "Get It" Review recipient.
01
Unclear ownership
No one can name who owns the outcome when an AI-assisted workflow fails.
02
Weak decision boundaries
AI acts, recommends, or escalates without clear rules for when human judgment is required.
03
Hidden human burden
Teams absorb the monitoring, validation, and rework created by automation.
The Operating Problem
The AI challenge is no longer only technical.
AI is changing who decides, who owns outcomes, and how customers experience the business. Most organizations are still managing AI as a tool deployment. That is where the risk starts.
The CXAmplify Point of View
CXAmplify helps leaders redesign the operating model around the work AI now touches.
The work is not to automate faster.
The work is to clarify what changed.
Decision boundaries
Define where AI acts, where people decide, and where leadership owns risk.
Accountability architecture
Name ownership across product, engineering, operations, legal, and leadership.
Human judgment systems
Protect the points where experience, ethics, trust, and context matter.
Customer experience design
Connect automation decisions to the actual customer journey.
Ways to Work with Dan
Three ways to work with Dan
Explore Speaking
Speaking
Keynotes and executive sessions for leaders already inside the AI operating model problem.
Advisory
Senior operating counsel for CEOs, CX leaders, product leaders, service leaders, and AI platform leaders.
Explore Advisory
Consulting
Focused support for organizations redesigning governance, customer experience, and accountability around AI-enabled work.
Explore Consulting
The Book
AMPLIFIED is the operating playbook behind the platform.
AMPLIFIED helps leaders understand what changes when AI enters the work.
The book focuses on accountability, human judgment, trust, decision boundaries, and the operating systems leaders need to build before automation scales.
#1 Amazon Best Seller
Kirkus "Get It" review