Where Are You on the Path to Becoming an Agentic Enterprise?

What best describes the business impact of your AI initiatives today?

We are primarily experimenting and have not yet demonstrated measurable business impact We have early use cases showing promising efficiency or productivity improvements We have production AI initiatives tied to measurable operational or commercial outcomes AI delivers measurable impact across multiple workflows, such as cost reduction, cycle-time improvement, margin improvement, or revenue growth

What happens when AI generates a recommendation?

It is manually reviewed every time It informs decisions, but outcomes are not consistently tracked Outcomes are monitored and measured Approved actions can be executed automatically within defined boundaries

How is AI connected to your business systems and workflows?

AI tools operate independently from core systems Some integrations exist between AI and business systems AI is connected to key workflows and operational processes AI is embedded across systems and workflows, allowing governed actions to occur within business processes

How does your organization govern and control AI?

No formal governance or controls exist today Informal reviews, approvals, and usage controls are used Defined governance, permissions, oversight, and usage monitoring exist Governance, permissions, auditability, and usage/cost controls are embedded directly into operational workflows

What best describes your organization’s AI priorities over the next 12 months?

Identifying promising use cases Launching our first production deployments Scaling successful initiatives across functions Increasing autonomy and measurable operational impact

What best describes your organization’s data environment?

Data is fragmented across systems and teams Some systems are connected, but AI access to trusted business context remains limited AI can access governed data and context across most core systems AI operates from a unified, governed view of enterprise data and business context

What is your biggest obstacle to scaling AI today?

Identifying high-value use cases Securing executive alignment, ownership, and adoption Integrating successful AI initiatives into operational workflows Expanding autonomy while maintaining governance and control

Where would you most like AI to create measurable business impact over the next 12 months?

Reduce operating costs Improve productivity or cycle times Increase revenue or improve customer outcomes Improve decision quality or reduce risk Transform a specific high-value workflow

What is the biggest barrier preventing AI from delivering greater business value today?

Data and enterprise context Integration with systems and workflows Governance, permissions, or risk controls Adoption, ownership, or organizational change AI cost, usage visibility, or unclear unit economics Difficulty proving measurable ROI