AI Readiness Self-Assessment

1
Please enter your email address to receive your results:* This field is required.
example@example.com
2
Does your organization have a documented AI strategy that aligns with business goals and includes timelines for adoption?* This field is required.
No strategy exists
Informal discussions or high-level intent only
Strategy document in place but limited execution
Clear, resourced strategy with regular reviews
3
How well is data managed for AI use (quality, accessibility, governance)?* This field is required.
Data scattered, poor quality, no central access
Basic catalogs exist but silos remain
Structured data governance with some cleaning processes
High-quality, governed data lakes/pipelines ready for AI
4
To what extent do employees have AI skills or training access?* This field is required.
No formal training or awareness programs
Ad-hoc learning, few people involved
Regular internal sessions or external courses for key teams
Ongoing upskilling, certifications, role-specific paths
5
Is there a defined governance structure for AI projects (roles, oversight committee)?* This field is required.
No governance in place
Informal reviews by existing IT/legal teams
Dedicated AI governance group or policy
Formal committee with cross-functional input and escalation
6
How does your organization address ethical risks and bias in AI systems?* This field is required.
Not considered systematically
Basic awareness, occasional checks
Ethics guidelines and some audits
Regular bias testing, impact assessments, responsible AI framework
7
Are EU AI Act requirements (risk classification, transparency, human oversight) mapped to your AI use cases?* This field is required.
Unaware or not applicable yet
Basic understanding but no mapping
Risk categories identified for current systems
Full compliance roadmap, documentation, and monitoring in place
8
Do you experiment with agentic AI (autonomous, goal-oriented systems beyond simple prompts)?* This field is required.
No exposure or pilots
Basic pilots with tools like ChatGPT agents
Small-scale agentic workflows in one department
Structured agentic applications with tool integration and oversight
9
How mature are your agentic AI safeguards (human-in-the-loop, monitoring, rollback)?* This field is required.
No safeguards defined
Manual checks only
Basic monitoring and intervention points
Automated observability, ethical guardrails, escalation protocols
10
Is there cross-functional collaboration (business, IT, legal, ethics) on AI initiatives?* This field is required.
Siloed efforts
Occasional joint meetings
Regular working groups
Integrated teams with shared accountability
11
How do you measure AI impact (ROI, productivity, risk reduction)?* This field is required.
No metrics tracked
Anecdotal success stories
Basic KPIs in pilots
Defined dashboards, benchmarks, continuous improvement
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