How long does a typical AI project take?
Scope determines timeline. A focused AI agent or LLM deployment can go live in 6–10 weeks. A full AI strategy engagement with multi-system integration typically runs 3–6 months. We'll give you a realistic timeline in the consultation — not a number designed to close the deal.
We don't have clean data. Can we still start?
Yes — most enterprises don't. Data quality assessment is part of our Diagnose phase. We'll tell you honestly what AI is viable with your current data, what's possible with modest data work, and what would require a longer data foundation investment first.
Do you work with specific AI models or platforms?
We're model-agnostic and vendor-neutral. We work across the major foundation model providers and open-source alternatives, choosing the right fit for your requirements, budget, and data sovereignty needs.
Can you deploy on-premise for regulatory reasons?
Yes. This is a core capability, particularly for banking, government, and healthcare clients. We have extensive experience with on-premise and private cloud AI deployments that meet MAS TRM, PDPA, OJK, and equivalent regulatory frameworks.
What does the free consultation cover?
It's a working session, not a pitch deck. We'll ask about your operations, your data, your current pain points, and your constraints. You'll leave with a clearer view of 2–3 AI opportunities, a rough prioritisation, and an honest assessment of feasibility. No commitment expected.
Do you serve clients outside Asia?
Yes. While our team and operational base is in Asia, we deliver globally. Our Asia-based positioning is an advantage for clients in APAC; for global clients it means strong Asia market expertise combined with international delivery capability.
