Data & AI lead generation
in Indonesia.

Almost every executive will say AI is a priority, which makes it easy to book meetings that go nowhere. The meetings worth your team’s time have a named business problem, an owner who will be measured on it, data that exists in usable form, and a realistic path from pilot to production.

That is why data and AI campaigns need sharper qualification than a simple “interested in AI” reply.

• Business owners of the problem: COO, head of customer service, head of sales operations, risk or fraud head, supply-chain head.
• Data and technology: chief data officer, head of data or analytics, CIO, IT head, enterprise architect.
• Transformation and innovation: head of digital transformation, innovation or strategy lead.

Targets are approved by you before outreach, together with exclusions and claims we must not make.

• Need: a specific use case (for example forecasting, document processing, customer-service automation, fraud detection, reporting consolidation) rather than general interest.
• Authority: the person owns or sponsors the use case, or formally influences the decision.
• Timeline: a planned pilot, budget cycle or programme start.
• Budget: an allocated budget, an innovation fund or a known approval path.

A meeting is billable only when it meets at least three of four BANT elements, fits the approved profile and role, and actually takes place.

1. Define the use cases you can deliver credibly, the industries where they matter and the roles that own them.
2. Research accounts with relevant signals: data and AI hiring, transformation programmes, new digital channels or regulatory reporting needs.
3. Engage with a use-case-led message in your company’s name.
4. Qualify the use case, owner, data readiness and timing; coordinate the meeting.
5. Hand over a brief so your solution team can open with discovery, not a generic demo.