Most AI strategy decks recommend things that don't ship. NKKTech consulting is built around what works in production — the architectures, vendors, and timelines that survive engineering contact. Hanoi-headquartered, Singapore-branched, with 30+ AI deployments behind us. We do strategy work other firms can't because we've also built the systems we're recommending.
Strategy work informed by engineering reality. Six engagement types we run.
Where to invest, in what order, with what timelines and team shape. Honest assessment of which AI investments will return in 12 months vs. which are 3-year bets.
Deep technical review of an existing AI deployment or design. Failure-mode analysis, cost projection, scale ceiling. Written deliverable; presented to engineering + leadership.
Honest analysis comparing in-house build, off-the-shelf SaaS, and outsourced engineering. RFP design, vendor scoring, reference checks. We've reviewed offers from 50+ AI vendors so you don't have to.
Pre-acquisition technical DD on AI-heavy targets. Engineering quality, model risk, data governance, regulatory exposure. Investor-grade written deliverable in 2–3 weeks.
Org design for AI capability: ML engineer vs data scientist vs MLOps split, in-house vs offshore vs consultancy mix, hiring profiles, comp benchmarks.
GDPR + EU AI Act, HIPAA, PDPA, PIPEDA, APPI mapping for AI workloads. Gap analysis + remediation plan. Same team that runs our compliant healthcare and fintech deployments.
30-min call to understand the question, your context, what good looks like. Most consulting engagements either start here or don't start at all.
1-page scoping memo with deliverable, timeline, fixed fee. No open-ended retainers; you know the cost going in.
Senior consultant + 1–2 supporting engineers. Weekly checkpoints with you. We work in your timezone when needed.
Written report + executive presentation. Implementation handoff plan if you want us (or others) to execute.
Risk model governance (SR 11-7), AI fraud detection architecture, compliance-aware customer support, AML/KYC automation strategy.
Clinical decision support architecture, HIPAA-compliant deployment patterns, FDA-pathway awareness, research-data platforms.
AI feature build-vs-buy, vendor selection (OpenAI Enterprise vs Azure vs Anthropic), in-product AI roadmap, churn-prediction architecture.
Personalization architecture, recommendation systems, demand-forecasting strategy, fraud + abuse prevention.
Computer-vision QA strategy, predictive-maintenance architecture, edge-vs-cloud decisions, IoT data foundations.
Demand forecasting strategy, route optimization, document automation (BoL, customs forms), warehouse-CV strategy.
Three reasons clients tell us. (1) Cost: senior NKKTech consultants are 40–60% the cost of equivalent US/EU consultancies for the same depth. (2) Engineering reality: we've actually built the systems we recommend; many strategy-only consultancies haven't. (3) Global reach: we contract under Singapore law via NKKTech Global Pte. Ltd. for US, AU, SG, Canadian, and Japanese clients — same procurement experience as a Western vendor, with the cost and execution advantages of Vietnam.
USD 8K–30K for strategy + architecture engagements (2–6 weeks). USD 30K–80K for full technical due diligence or comprehensive AI strategy + team design. Fixed fee; scoped before starting.
Yes. About 25% of our discovery calls end with us recommending the client not build the AI feature — either because off-the-shelf SaaS solves it, because the ROI doesn't pencil, or because the data foundation isn't ready. We'd rather tell you no early than ship something that doesn't work.
Yes, on the same engagement or a follow-on. About 60% of consulting engagements lead to implementation work. We're not obligated; we'll recommend other vendors if we're not the right fit for the build phase.
English (primary for international clients), Vietnamese, Japanese, Korean. Senior consultants for US/AU/SG/UK clients work in English. For Japanese clients, we have native-Japanese senior engineers.
NKKTech delivered our LLM document processing pipeline on time and exactly on budget. The tech lead was available on Slack daily. First offshore team that actually worked the way we expected.
Tony's team understood our legacy PHP system faster than our internal team. Zero downtime migration, exactly as promised. The bilingual PM made communication seamless.
We went from 15 hours/week of manual prospecting to fully automated lead gen in 8 weeks. ROI in 60 days as Tony promised.
NKKTech delivered our LLM document processing pipeline on time and exactly on budget. The tech lead was available on Slack daily. First offshore team that actually worked the way we expected.
Last updated: · Reviewed quarterly for accuracy.
30-minute free discovery call with a senior NKKTech engineer (not a sales rep). We'll review your requirements, scope an engagement, and tell you honestly whether we're the right fit.
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