A 5-question diagnostic for Malaysian business leaders. Receive a focused playbook for each dimension, plus a consolidated strategy recommendation based on your full profile.
Question 1 of 50%
Question 01 — Strategic Ownership
Who owns AI strategy in your organisation, and how formally is it defined?
This question is about leadership ownership and documentation — not about whether any AI tools are being used.
A
No one owns it — AI has not been discussed at a leadership level.It is not on any agenda, plan, or meeting.
B
It comes up in conversation but no one is formally accountable.Interest exists but ownership and budget are unassigned.
C
A senior leader is informally championing AI but it is not yet documented.Direction exists but there is no written plan or approved budget.
D
AI strategy is documented, board-approved, and has a named executive owner.Includes budget allocation, KPIs, and a review cadence.
Optional — add context about your situation
Question 02 — Data Readiness
How would you rate the quality and accessibility of your company's data?
AI outcomes are only as good as the data feeding them. Consider whether your data is structured, clean, and accessible.
A
Data is scattered across spreadsheets, emails, and paper.No central system; hard to retrieve reliably.
B
We use software systems (ERP, CRM, etc.) but data is siloed.Different systems don't talk to each other.
C
Data is mostly centralised but quality and completeness vary.Some cleaning and labelling work needed before AI use.
D
We have clean, well-structured, and accessible data pipelines.Ready to be used for analytics or AI model training.
Optional — add context about your data environment
Question 03 — Workforce AI Literacy
How would you describe the overall level of AI awareness and capability across your workforce?
Think organisation-wide — not just your IT team or any individual champions.
A
Most employees have little to no awareness of AI tools or their relevance.The topic has not been communicated or introduced company-wide.
B
Employees are generally aware of AI but have not been trained to use it.People know it exists but lack practical skills or guidance.
C
Some departments have received AI training and are beginning to apply it.Awareness is patchy — strong in pockets, absent elsewhere.
D
AI literacy is systematically built across the organisation with ongoing training.All functions have role-specific AI skills and internal champions.
Optional — add context about your team
Question 04 — Use Case Clarity
How clearly has your company defined the specific business problems it wants AI to solve?
This is about internal clarity — whether AI opportunities have been mapped to concrete processes, costs, or outcomes in your own business.
A
We have not mapped any business problems to potential AI solutions.No structured thinking has been done on where AI fits.
B
We have a general sense of where AI could help but nothing specific.Ideas are vague — "automate admin" or "use AI for marketing" — without detail.
C
We have identified 1–3 specific use cases linked to measurable outcomes.Each has a clear problem statement, but prioritisation and resourcing are not finalised.
D
We have a prioritised use case roadmap with ROI estimates and named owners.Each initiative has a business case, success metric, timeline, and accountable lead.
Optional — describe any use cases you have in mind
Question 05 — Risk & Governance
How does your company approach AI risk and governance?
In Malaysia, data privacy (PDPA), cybersecurity, and responsible AI use are growing areas of regulatory focus.
A
We have not considered AI-related risks or compliance at all.No policies on data use, vendor access, or model outputs.
B
We are aware of risks but have no formal policies in place.Leadership acknowledges the topic but hasn't acted.
C
We have basic data protection policies that partially cover AI.PDPA compliance is managed but AI-specific rules are absent.
D
We have a formal AI governance framework covering policies, audits, and vendor risk.Covers data use, model audits, vendor risk, and ethical guidelines.
Optional — add context about your compliance environment
Your AI Readiness Report
Consulting Playbook
A focused recommendation for each dimension, anchored in your full readiness profile.