The TJC Executive Brief | Issue 03: Before You Scale AI, Clarify Who Decides.

By Dr. Tannya L. Jenkins | T. Jenkins Consulting

Before expanding what AI can do in your organization, answer a leadership question:

Who has the authority to decide—and who remains accountable for the outcome?

In Issue 01, we explored alignment. In Issue 02, we examined sequence. The next step is clarifying decision authority.

A workflow may move quickly while leaving important questions unanswered. Who verifies the evidence? Who approves an external message? Who resolves an exception? Who decides when the work must stop?

These questions belong in the operating model before execution expands.

1. Name the accountable leader.

Delegating a task does not transfer leadership accountability to a tool.

Every AI-supported workflow needs a named human owner who understands the intended outcome, reviews material exceptions, and accepts responsibility for the work.

Start with one question:

Who owns this outcome from beginning to end?

If the answer is unclear, clarify ownership before adding more automation.

2. Define what AI is authorized to do.

“Help with business development” is a broad assignment. It leaves too much room for interpretation.

A clearer assignment defines the permitted work:

• Research a prospective organization using approved sources.

• Separate verified facts from assumptions and unknowns.

• Recommend a relevant executive relationship.

• Prepare an outreach draft for human review.

• Obtain approval before sending an external communication.

Researching, recommending, preparing, and executing carry different responsibilities. Leaders should define the authority required at each stage.

Capability alone does not establish permission.

3. Establish when to stop and escalate.

A useful operating model explains what happens when the workflow encounters uncertainty.

Conflicting sources, an unclear recipient, sensitive information, or an action outside the approved scope should trigger a defined response.

Specify:

• What condition requires escalation?

• Which leader receives the exception?

• What evidence must accompany it?

• What work may continue while a decision is pending?

A pause at the right moment protects the quality of the next decision.

What this looks like in practice

Consider an illustrative prospect-development workflow.

AI prepares a company brief and drafts an introductory message. The accountable leader checks the sources, assesses the business fit, verifies the recipient, and approves the final communication.

If the research contains conflicting information, the workflow pauses for review. If approval has not been given, the message remains a draft.

The work has a clear owner, a defined scope, and an explicit approval point.

Your executive takeaway

Choose one workflow before introducing another tool.

Write down four things:

The outcome. The accountable owner. The permitted actions. The escalation point.

Then ask whether the people and AI supporting that workflow can follow those instructions consistently.

Where is your organization expanding AI execution faster than it is clarifying decision authority?

Start the conversation with T. Jenkins Consulting. Schedule a consultation to examine how ownership, decision rights, and human accountability fit into your organizational strategy.

People. Strategy. Culture. Impact.

T. Jenkins Consulting
Executive Leadership | Organizational Strategy | Leadership & Culture Transformation

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The TJC Executive Brief is a weekly perspective from Dr. Tannya Jenkins exploring leadership, organizational strategy, culture, transformation, and the work of building organizations that work as one.