The New Leadership Skill: Orchestration
- Roland Kümin
- 21 hours ago
- 2 min read
The next generation of sales leaders won’t just manage people.
They will orchestrate people, agents and technology.
For decades, sales leadership was largely about people: hiring talent, setting targets, coaching performance and building teams that could consistently deliver revenue.
Technology supported the system. People did the work.
Agentic AI changes that assumption.
When software starts doing the work
Agents can increasingly research accounts, enrich data, identify signals, prepare meetings, analyze opportunities, draft outreach and trigger actions.
Work that previously required hours of human effort can now be performed — or prepared — by software.
That creates a different management challenge.
A sales leader may soon run an organization where work is distributed across employees, external providers, traditional software and AI agents.
The question is no longer simply:
Who should do this?
It becomes:
How should this work be done?
By a human?
By an agent?
By an agent with human approval?
By an external platform?Or should the process disappear altogether?
That is orchestration.
Sales leaders don't need to become engineers
But they do need enough technological understanding to know what is possible — and enough process expertise to know what is useful.
Technology knowledge alone isn't enough. An engineer can build an impressive agent that solves the wrong problem.
Process knowledge alone isn't enough either. Knowing what should change without being able to translate it into a working system increasingly limits what can be achieved.
The real opportunity lies where Sales, RevOps and Engineering meet.
Build vs. Buy becomes a leadership decision
Historically, a sales leader identified a need, evaluated vendors and bought a tool.
Now there is another credible option:
Build the capability.
Not necessarily an entire software product. Perhaps just the workflow your organization needs.
That means leaders increasingly need to decide:
What should we buy because others can do it better?
What should we build because it contains our unique logic?
Where should we combine external infrastructure with our own intelligence?
And what should we stop doing altogether?
These are no longer just technology decisions.
They determine how the revenue organization operates.
Human judgment moves upward
There is an interesting paradox.
As AI performs more operational work, human judgment becomes more important at the points that matter.
Someone still has to define the objective, determine what good looks like, establish boundaries, decide where humans remain in control and take responsibility when the system gets it wrong.
The human role moves from executing every step toward designing, supervising and improving the system that executes it.
This changes what we should look for in leaders.
The strongest sales leaders of the Agentic Age won't necessarily be AI experts or software engineers.
They will be people who can connect disciplines.
They understand customers and commercial processes. They understand enough technology to see what has become possible. And they can turn that understanding into systems that actually work.
They are not just managers.
They are architects and orchestrators.
We spend a lot of time asking how much human work AI will replace.
For leaders, there is a more important question:
If AI can perform an increasing share of the work, who will redesign the way the work gets done?
That is not primarily an AI skill.
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