The Operating Model
for the Execution Layer
Define and govern
The structural conditions
under which work is executed
From entry to
completion
The entire execution lifecycle
By people, AI agents,
or both
The execution participants
The Operating Model
for the Execution Layer
Define and govern
The structural conditions
under which work is executed
From entry to
completion
The entire execution lifecycle
By people, AI agents,
or both
The execution participants
The Operating Model
for the Execution Layer
Define and govern
The structural conditions
under which work is
executed
From entry to
completion
The entire execution
lifecycle
By people, AI agents,
or both
The execution participants
Every organization operates through business-specific Operating Models.
The underlying Execution Layer provides the structure through which people and AI agents execute work.
Every organization operates through business-specific Operating Models. The underlying Execution Layer provides the structure through which people and AI agents execute work.
Conditions
Work Outgrew Its Structure
Organizations still rely on tools and practices designed for a world where work had natural stopping points.
As the volume of work increases, including through AI-driven execution, traditional ways of organizing work no longer provide sufficient structure.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture; it requires one.
AI does not create that execution architecture; it requires one.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture;
it requires one.
Work Without Limits
Work keeps entering regardless of what is already in progress.
Decision Backlog
Decisions accumulate faster than they can be resolved. Undecided work slows things down.
Incomplete Work
Work advances through escalation rather than through structure.
Conditions
Work Outgrew Its Structure
Organizations still rely on tools and practices designed for a world where work had natural stopping points.
As the volume of work increases, including through AI-driven execution, traditional ways of organizing work no longer provide sufficient structure.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture; it requires one.
AI does not create that execution architecture; it requires one.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture;
it requires one.
Work Without Limits
Work keeps entering regardless of what is already in progress.
Decision Backlog
Decisions accumulate faster than they can be resolved. Undecided work slows things down.
Incomplete Work
Work advances through escalation rather than through structure.
Conditions
Work Outgrew Its Structure
Organizations still rely on tools and practices designed for a world where work had natural stopping points.
As the volume of work increases, including through AI-driven execution, traditional ways of organizing work no longer provide sufficient structure.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture; it requires one.
AI does not create that execution architecture; it requires one.
AI agents are increasingly becoming part of how work is executed. They operate within the same execution architecture as people — one that governs how work enters, who is responsible, what completion means, and how work moves between people.
AI does not create that execution architecture;
it requires one.
Work Without Limits
Work keeps entering regardless of what is already in progress.
Decision Backlog
Decisions accumulate faster than they can be resolved. Undecided work slows things down.
Incomplete Work
Work advances through escalation rather than through structure.
Structural Shift
A Fundamental Shift in
How Work Is Handled
Strengthening execution requires a structural shift.
Control does not come from better prioritization or more tools.
It comes from clear rules for how work enters and how it gets done.
Commitments hold because the structure holds.
Structural Shift
A Fundamental Shift in
How Work Is Handled
Strengthening execution requires a
structural shift.
Control does not come from better prioritization or more tools. It comes from clear rules for how work enters and how it gets done.
Commitments hold because the structure holds.
Structural Shift
A Fundamental Shift in
How Work Is Handled
Strengthening execution requires a structural shift.
Control does not come from better prioritization or more tools.
It comes from clear rules for how work enters and how it gets done.
Commitments hold because the structure holds.
One Operating Model
Implemented individually. Installed collectively.
Team
Every team member implements the Operating Model, supported by the team’s shared Execution Rules for work that crosses between people.
Organization
Everyone across the organization implements the Operating Model, supported by the organization’s Shared Execution Rules governing work between teams and organizational units.
One Operating Model
Implemented individually.
Installed collectively.
Team
Every team member implements the Operating Model, supported by the team’s shared Execution Rules for work that crosses between people.
Organization
Everyone across the organization implements the Operating Model, supported by the organization’s Shared Execution Rules governing work between teams and organizational units.
One Operating Model
Implemented individually.
Installed collectively.
Team
Every team member implements the Operating Model, supported by the team’s shared Execution Rules for work that crosses between people.
Organization
Everyone across the organization implements the Operating Model, supported by the organization’s Shared Execution Rules governing work between teams and organizational units.
Stability
How Operating Models
Continue to Hold
The implementation of an Operating Model takes place over time.
Reinforcement Follow-up Sessions are an integral part of every OTC engagement. They support the continued implementation of the Operating Model in the actual work environment.
Through reinforcement, the Operating Model is applied, tested, and strengthened over time, helping the structure become an integral part of how work is executed.
Without reinforcement,
the structure erodes.
With reinforcement,
the structure holds.
With reinforcement,
the structure holds.
Organizations that have worked with OTC include
Stability
How Operating Models
Continue to Hold
The implementation of an Operating Model takes place over time.
Reinforcement Follow-up Sessions are an integral part of every OTC engagement. They support the continued implementation of the Operating Model in the actual work environment.
Through reinforcement, the Operating Model is applied, tested, and strengthened over time, helping the structure become an integral part of how work is executed.
Without reinforcement,
the structure erodes.
With reinforcement,
the structure holds.
Organizations that have worked with OTC include
OTC International
The Operating Model
for the Execution Layer
OTC International
The Operating Model
for the Execution Layer
OTC International
The Operating Model
for the Execution Layer