Hold On to Your Purse Strings. Your AI Assistant Has Ideas.
AI agents need clear authority, approval boundaries, and accountable owners before deployment. Delegating the work does not delegate the accountability.
Your AI Agent Needs a Way to Challenge the Assignment
AI agents need a way to pause, challenge an assignment, and escalate consequential decisions before persistence becomes an expensive mistake.
AI Is Changing the Shared Services Equation
In an AI-first world, the opportunity may lie in connecting data across the organization, redesigning work, and governing AI workflows as they become operating assets.
AI Made the Interview Better. What About the Rest of Hiring?
AI improved interview consistency and hiring outcomes without replacing human judgment. But the larger hiring system still determines how much value survives.
The AI Pilot Is Over. Now Comes the Leadership Test.
Responsible AI leadership starts before launch and continues through ownership, decision boundaries, human oversight, monitoring, and incident response.
What Happens When Big Brother Uses AI?
AI surveillance can make managers feel more informed while making work worse. The real issue is not the technology, but the leadership philosophy behind it.
AI Does Not Eliminate the Bottleneck. It Moves It.
AI can make one task dramatically faster without making the business any faster. Leaders must measure end-to-end flow, not isolated output.
My Dad Almost Taught Me a $3,985 Lesson About Technology Strategy
Companies often buy impressive technology before defining the problem. A $4,000 espresso machine and a $15 milk frother show why fit matters more than features.
AI Cannot Use the Knowledge You Just Laid Off
Companies may be laying off the very people their AI strategy needs to succeed. AI can scale output, but it cannot replace the institutional knowledge, judgment, and creativity businesses are cutting.
Stop Cutting Your Way to Growth
McLaren repaired its operating model before committing capital to growth. That sequence offers a lesson for leaders treating AI and cost cutting as substitutes for management.
AI Has a Reality-TV Problem
AI success stories often show the polished result while leaving the difficult work off camera. Seven questions help leaders separate technical capability from repeatable business value.
When Process Intelligence Starts Taking Action
When process intelligence feeds agents that can act, process discovery becomes part of the operating control system.
The Agent Did Its Job. The Process Still Failed.
Agent capability and process capability are becoming separate variables. Completed tasks do not automatically create business value.
The Real Work of AI Happens in the Middle
AI creates capacity, but transformation requires leaders to redesign complete processes and turn that capacity into measurable outcomes.
Not Every Process Needs an Agent
RPA, workflow automation, machine learning and AI agents solve different problems. Start with the work, then choose the technology.
What If the AI Isn’t the Problem?
Anthropic, Zillow, Rite Aid and a healthcare algorithm show why AI failures often begin in the process surrounding the technology.
Before You Make Your Business Logic Reusable, Make Sure It's Worth Reusing
AI can make existing business logic reusable. The process question comes first: is that logic worth preserving?
Is AI Taking Our Jobs?
AI may eliminate work, but leaders still have to design how tomorrow’s skilled workforce gets developed.
When Process Mapping Gets Cheap, Judgment Gets More Valuable
AI can make process mapping dramatically faster. The harder question is whether the map reflects how the business actually works.
Everyone Wants to Operate on Your Process
A process map is not a diagnosis. Strong process improvement still requires context, investigation, and judgment.
Human in the Loop Is Not a Control Strategy
Putting a person somewhere inside an agentic process does not, by itself, create control.
AI Agents Are Changing the Process, Not Just Automating It
The opportunity is not simply to automate more steps. It is to reconsider the architecture of the work itself.
What Are You Amplifying?
Why AI can make a strong process better and a weak process fail faster.
Don’t Pave the Cow Path
AI can make inefficient work faster. That does not make the work worth doing.
Start With the Problem, Not the Technology
“Where can we use AI?” sounds strategic. It may be exactly the wrong question.