Question 1 / 18
Our executive team has a practical understanding of common AI assistants such as ChatGPT and the kinds of work they can and cannot support.
Executive tool awareness
A.G. Operations
AI Adoption System
Question 2 / 18
Our executive team understands how tools such as Claude may be used for writing, analysis, document review, or longer-context reasoning.
Executive tool awareness
Question 3 / 18
Our executive team understands how Genspark or similar AI research tools may be used for source discovery, topic exploration, or current-information research.
Executive tool awareness
Question 4 / 18
We have a realistic view of how familiar our employees are with AI tools, including where confidence is high and where support is needed.
Team tool capability
Question 5 / 18
We understand which teams are already using AI for drafting, summarizing, research, analysis, customer communication, or workflow support.
Team tool capability
Question 6 / 18
We know whether employees can choose appropriate AI tools based on task type, information sensitivity, and the need for human review.
Team tool capability
Question 7 / 18
We have enough visibility into informal or unsanctioned AI use to understand the practical risks and opportunities already present in the organization.
Shadow use visibility
Question 8 / 18
Employees have a clear, low-friction way to ask whether an AI tool or use case is approved before they use sensitive or client-related information.
Shadow use visibility
Question 9 / 18
We can distinguish between approved workplace AI tools, public AI tools, research tools, and systems of record when setting policy and guidance.
Tool governance and enablement
Question 10 / 18
We can channel employee AI experimentation into safe, useful adoption instead of relying only on restriction, ambiguity, or after-the-fact correction.
Tool governance and enablement
Question 11 / 18
Our core operational data is reliable, accessible to the right people, and owned by clear business stakeholders.
Data maturity
Question 12 / 18
Our high-value workflows are documented well enough to identify bottlenecks, handoffs, repeat work, and automation opportunities.
Workflow maturity
Question 13 / 18
We have clear rules for responsible AI use, approvals, accountability, and escalation.
Governance maturity
Question 14 / 18
We understand privacy, permission, regulatory, vendor, and sensitive-data risks related to AI adoption.
Security and compliance
Question 15 / 18
Our software stack and process owners can support realistic AI pilots without major disruption.
Integration readiness
Question 16 / 18
Leaders are aligned on why AI matters, where it should start, and how adoption decisions will be made.
Leadership sponsorship
Question 17 / 18
Teams have enough time, support, and psychological safety to test new AI-enabled ways of working.
Change capacity
Question 18 / 18
We can define success measures for AI pilots and stop work that does not create enough value.
ROI and value discipline