Your teams are not failing in the sprint. They're failing two sprints earlier.
Every time a sprint goes sideways, leadership asks:
"What happened in execution?"
Wrong question.
Most delivery failures don't start in build. They start
upstream, in the work you thought was ready but wasn't.
The Pattern Leaders Keep Missing
Here's what I've been seeing across every client engagement,
every industry, every methodology: Organizations adopt fast. They execute slow.
And the gap between the two is massive.
Look at these numbers:
|
Domain |
Adoption Rate |
Success/Scale Rate |
The Gap |
|
AI implementations (McKinsey) |
88% |
10% |
78 points |
|
AI production deployment (Stanford) |
78% of businesses |
Low deployment |
~60-70 points |
|
Automation initiatives (Stonebranch) |
98% |
Persistent challenges |
50+ points |
|
Agile transformations |
80%+ adoption |
10-30% effective |
50-70 points |
This isn't coincidence. This is readiness debt at scale.
What's Really Happening
The pattern looks like this across every organization I work
with:
- Adopt
quickly because modernization pressure demands it
- Skip
readiness because upstream preparation takes time
- Fail
during execution as readiness debt compounds
- Declare
success anyway while quietly missing business outcomes
"We're doing Agile."
"We implemented AI."
"We completed the sprint."
But the business impact never materializes.
That's not execution failure. That's readiness failure.
Loud Failure vs. Quiet Failure
Most leaders can spot loud failure:
- Project
cancelled
- Team
disbanded
- Initiative
shut down
But quiet failure? That's everywhere, and it's invisible.
Quiet failure looks like this:
- Initiative
declared "successful" but delivers no measurable outcome
- Framework
adopted but discipline lacking
- Teams
busy but not effective
- Technical
success but business failure
The organization doesn't admit failure. It redefines success
downward. Motion replaces progress. And the gap between adoption and results
keeps widening.
Why This Keeps Happening
Multiple independent sources—across AI, automation, Agile,
and ERP transformations—confirm the same root cause:
Implementation failures stem from inadequate upstream
preparation, not technology limitations.
Forty-six percent of AI initiatives fail between
proof-of-concept and production. That's not a technology issue. That's a
readiness gap between "works in theory" and "scales in
practice."
Automation studies highlight orchestration and governance
gaps. That's upstream ownership failure.
Agile struggles rarely stem from stand-ups or
retrospectives. They stem from unclear backlog ownership, unfinished decisions,
and poor readiness discipline.
Different domains. Same pattern.
No one owns readiness before execution begins.
The Leadership Discipline That Closes the Gap
This is exactly why I created the 2-1-0 Execution
Mantra. It's not just for Agile. It applies to any execution methodology.
2 means two units of work ready ahead.
Product owns this.
1 means one unit fully designed and
decision-complete. Architecture or enablement owns this.
0 means zero blockers when execution
begins. Delivery owns this.
If you're not 2 ahead, 1 ahead, and 0 blocked, you're
transferring risk into execution.
And execution is the most expensive place to discover risk.
The Real Executive Question
Stop asking:
- "What's
the velocity?"
- "Why
did we miss the sprint?"
- "Can
we commit to more?"
Start asking:
- "Is
the work truly ready before we commit?"
Because that 78-point adoption-execution gap isn't a
methodology problem. It's a readiness discipline problem.
Until leadership owns readiness upstream, execution will
continue to absorb avoidable risk.
The Bottom Line
Your organization doesn't struggle because it adopts too
slowly. It struggles because it executes before it's ready.
Adoption is easy. Execution is hard. Discipline is
what separates the 88% who adopt from the 10% who scale.
Before your next portfolio review, ask yourself one
question:
Why are we allowing unready work into execution?
That's where predictability begins.
What's one thing your team committed to this sprint that
wasn't truly ready? I'd love to hear your stories—hit me up in the
comments or reach out directly.