Most chatbot projects ship a demo that works on five test prompts and breaks on the 50th customer. NKKTech ships bots that survive 12,000+ tickets per month — with retrieval-augmented answers, faithfulness guardrails, human escalation paths, and full observability. Used by mid-market SaaS, fintech, and healthcare clients across the US, Australia, and Singapore. — Looking for a productized SaaS chatbot for VN/JP SMB? Visit nkk.com.vn for our packaged Enterprise AI Chatbot solution.
Production-ready chatbots, not Q&A scripts. Six capabilities every project ships with.
Every response is grounded in your knowledge base: docs, policies, product manuals, past tickets. No hallucinated policies. Faithfulness score ≥0.92 on launch.
Web widget, Slack, MS Teams, WhatsApp Business, Intercom, Zendesk, in-app SDK — same bot, channel-appropriate UI. Bring your stack; we adapt.
Bot knows when it doesn't know. Confidence threshold + sentiment detection + explicit "talk to a human" → seamless handoff with full conversation context.
Refusal patterns for out-of-scope topics (financial advice, medical diagnosis, legal counsel). PII detection and redaction. Audit logs that satisfy HIPAA, GDPR, PDPA.
Auto-detect customer language, respond in kind. We ship with EN/JA/KO/VI/ZH/ES out of the box; additional languages take 1–2 days each.
Dashboard of intent distribution, confidence trends, escalation reasons, CSAT. New eval cases auto-flagged for review. Continuous improvement, not deploy-and-forget.
1 week. Tour the use cases, audit your knowledge base, define the bot's scope and escalation rules.
3–5 weeks. RAG pipeline, intent classification, channel integrations, escalation flows.
1–2 weeks. Soft launch to a small user cohort, eval-driven tuning of retrieval and prompts.
1 week. Full launch, monitoring dashboard, runbook handoff to your support team.
Tier-1 support automation: 60–80% deflection on common questions, escalation for the rest. ROI in 2–3 months at typical SaaS support volume.
Customer service that knows when to refuse (financial advice) vs. when to answer (policy questions). GDPR + PCI-DSS compliant logging.
Symptom-screening bots, appointment scheduling, post-visit follow-up. HIPAA-grade audit trail; never makes diagnostic claims.
Product Q&A, sizing advice, order tracking, return initiation. Plugs into Shopify, Magento, BigCommerce.
Onboarding bots, HR FAQ, IT helpdesk Tier 0. Plugs into Confluence, Notion, SharePoint with respect for access controls.
Course Q&A, assignment guidance, administrative questions. Privacy-aware; no student data leaves your VPC.
For customer support: typical payback in 2–4 months at support volumes above ~500 tickets/month. The savings come from Tier-1 deflection (60–80% of qualifying tickets) and reduced AHT on escalated ones (because the bot's conversation history accelerates human handoff).
We commit to faithfulness ≥0.92 (LLM-as-judge measure that the answer is grounded in retrieved context) and answer-relevance ≥4.2/5 (LLM-as-judge that the answer addresses the user's actual question). Both are tracked release-to-release; deploys are blocked on drops >3%.
Yes. We index Confluence, Notion, SharePoint, Zendesk articles, Intercom Help Center, custom CMS, PDFs, and S3 buckets. The KB stays in its source-of-truth; we sync nightly or in real-time depending on volume.
USD 30K–60K for a standard 6–10 week project. Recurring infrastructure cost is typically $200–$2,000/month depending on volume and LLM tier. We give a fixed-fee quote after a 1-week scoping engagement.
Three defenses: strict faithfulness scoring on every release; LLM constrained to retrieved context with no "general knowledge" fallback; refusal mode for out-of-scope topics. We've shipped chatbots in healthcare and fintech (the two most hallucination-sensitive industries) without a single material hallucination incident in 12+ months of production use.
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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