AI Maturity Evaluation

Interactive Assessment

AI Maturity Evaluation

Answer six questions about your organization's AI adoption and see where you stand across the five-level framework.

Question 1 of 6 How broadly is AI used across your organization today?

Only a few individuals experiment with AI tools Several teams use AI for drafting, research, or summarization AI is embedded into recurring team workflows AI agents execute bounded work across multiple systems AI operators own measurable outcomes with oversight

Question 2 of 6 How connected are your AI tools to business systems and data?

Mostly standalone chat tools with copy/paste workflows Approved AI tools can access selected documents or knowledge bases AI can retrieve and prepare data from core business applications AI can safely take action inside approved systems AI coordinates work end-to-end across systems and teams

Question 3 of 6 What level of task execution can AI perform?

Suggests ideas or drafts, but people do all execution Prepares structured outputs for people to review and submit Completes multi-step tasks with human approval checkpoints Acts independently within defined limits and escalation rules Plans, executes, monitors, and improves complete processes

Question 4 of 6 How mature are your AI governance and risk controls?

Little formal guidance beyond individual judgment Basic acceptable-use policies and approved tool lists Workflow-specific approvals, quality checks, and data rules Continuous monitoring, audit logs, and exception handling Enterprise governance tied to strategy, safety, and outcomes

Question 5 of 6 How do you measure AI value and performance?

Anecdotal productivity stories Team-level tracking of time saved or content produced Defined KPIs for quality, speed, cost, and risk Operational dashboards with alerts and human review AI performance is managed like a business capability

Question 6 of 6 Which AI enablement practices are currently in place?

Role-based AI training and prompt/workflow playbooks Approved data access patterns and security review Reusable AI workflow templates or internal tools Human approval checkpoints for important decisions Monitoring, audit trails, and escalation paths