“Indonesia's enterprise AI market has 18 months of runway. Which 10 companies do you prioritise — and what's the go-to-market motion that actually closes?”
Prompt clarity, context richness, and the quality of follow-up questions to the AI analyst.
Knowing what to hand to AI versus what requires independent human judgment.
Catching planted errors, AI hallucinations, or biased framing before they reach the recommendation.
Own-voice synthesis in the final output — not recycled AI output with a name attached.
Deck structure quality: clear position, quantified impact, concrete implementation plan.
Each dimension is scored 0–20. Total AIQ Score is 0–100 and determines the candidate’s profile: from AI-Avoidant to Strategic Collaborator.
Send this case to candidates in these roles to see who can actually think alongside AI — not just discuss it in theory.
The candidate receives a real scenario from the industry. They write a planning memo — their initial analysis before AI is introduced.
An AI analyst named after a fictional consultant role-plays as their data partner. The candidate asks questions, challenges assumptions, and navigates planted errors.
A structured 3-slide deck: their recommendation, quantified impact, and an implementation plan. Scored live against all 5 dimensions.
I didn't just design this case — I built the product. CXO Copilot is one of the AI products I led at SQE, Sinarmas's digital factory for 40+ group companies. We were solving a real problem: how do you make enterprise AI actually useful for C-level decision-making, not just a demo? This case is drawn directly from the GTM decisions we had to make — which enterprises to target first, which use cases actually close, and how to earn trust in a market that hasn't bought AI before.

VP of Strategy at Sinarmas, leading AI & digital transformation across Mining and Financial Services divisions. Former BCG Manager and Strategy& (PwC) consultant in energy, utilities, and sustainability. Head of CEO Office at Medco Power. MBA from ESADE Business School.