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Sovereign Agentic Enterprise (SAE) Lite Assessment

Conversations become tense;  people avoid the topic or express anxiety about job security

Team members are skeptical but somewhat curious; concerns outweigh interest

People are open but unsure how AI applies to their actual work

Team actively discusses practical applications and asks implementation questions

Team enthusiastically debates which tasks to delegate vs. which require human judgment

a1.1

1.1 Team Psychology & OpennessWhen AI tools are discussed in your organization, what typically happens?

Being the person who personally does all the difficult manual work

Demonstrating deep expertise in hands-on execution of tasks

Balancing individual execution with some coordination responsibilities

Ensuring high-quality outcomes are achieved, regardless of how

Designing systems and orchestrating resources (human or AI) to achieve strategic goals

a1.2

1.2 Recognition & Value SystemIn your organization, professional respect is primarily earned by:

No clear direction; leaders contradict each other or avoid the topic

Each department pursues its own AI initiatives with minimal coordination

General direction exists but feels fragmented across different groups

Mostly unified strategy with occasional inconsistencies

Single coherent strategy clearly communicated and evident in daily decisions

a1.3

1.3 Leadership Vision & AlignmentHow unified is your leadership team’s vision for AI?

Technology is blamed and shelved; the team returns to old methods

People blame each other or the tool; little productive discussion occurs

Informal discussions happen but no structured learning or documentation

Team conducts reviews to understand what went wrong and tries again

Treated as learning opportunity with documented insights shared organization-wide

a1.4

1.4 Learning & Experimentation CultureWhen AI-assisted projects fail or produce poor results:

Zero dedicated time; must be done on personal time outside work hours

Minimal time (1-2 hours per month) if you can squeeze it in

Occasional training sessions or workshops a few times per year

Moderate dedicated time (10-20% of schedule) for AI projects

Substantial allocation with dedicated roles, lab time, or formal budgets

a1.5

1.5 Time & Space for AdoptionHow much time does your team have to learn and implement AI tools?

Hours worked and time logged; presence matters most

Number of tasks completed manually; activity volume is key

Mix of activity and outcomes without clear priority

Quality and completion of deliverables; outputs matter most

Strategic impact, efficiency gains, and scalable outcomes are rewarded

Sovereign Agentic Enterprise (SAE) Lite Assessment

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