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Service · AI Chatbots for Business in NZ

AI Chatbots for Business in NZ

Custom-built AI chatbots for customer service, lead capture and internal support, grounded in your documents and integrated to the systems you already use.

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DiscoveryFree, then fixed price
Typical build4 to 6 weeks
Rating★★★★★ 5.0 on Google
BasedAuckland, working NZ-wide

Three kinds of AI chatbot I build

Customer-facing

Embedded on your website, in Messenger or WhatsApp. Answers FAQs, looks up orders, books appointments, hands off to human support when uncertain.

Internal staff Q&A

Lives in Microsoft Teams or Slack. Answers policy, compliance, product or HR questions from your internal documents, with full per-user audit logs.

Sales qualification

Captures inbound enquiry intent, asks qualifying questions, books a meeting or routes to your sales team, with the conversation summary attached to the CRM record.

How I make sure the chatbot stays accurate

The biggest concern most NZ businesses have about AI chatbots is hallucination, the model confidently making things up. I design every chatbot with the same defences:

  • Retrieval-augmented generation (RAG). Every answer is grounded in passages retrieved from your documents at query time. The model is instructed to use only what's retrieved.
  • Refuse-and-escalate. When the chatbot can't find a confident answer, it says so clearly and offers a handoff to a human, rather than guessing.
  • Source citations. Every answer can show the document and section it came from, so users (and auditors) can verify.
  • Confidence routing. Low-confidence answers are flagged and routed for human review before being sent.
  • Tone and policy guardrails. Hard rules about what the bot won't say (pricing it can't quote, advice it can't give, competitors it won't mention).
  • Continuous evaluation. A test set of representative questions runs against every model/prompt change before deployment.

Where chatbots commonly live

  • Website widget. Embedded in any HTML page. Custom-styled to match your brand.
  • Microsoft Teams. Internal Q&A bots with SSO, channel and DM access.
  • Slack. Internal Q&A or workflow-trigger bots.
  • Facebook Messenger / Instagram DM. Customer-facing for retail and service businesses.
  • WhatsApp Business. High-volume customer support and order updates.
  • Zendesk / Freshdesk. Inside your existing helpdesk as a triage/draft-reply assistant.
  • Voice (phone). AI voice agent for inbound call routing and FAQ. Available where the use case justifies it.

Integration examples

  • Retail: Customer asks "where's my order?" → bot looks up Shopify by email → returns tracking link → logs interaction to CRM.
  • Insurance: Claimant asks about a policy clause → bot retrieves from policy PDF → cites section number → escalates to human if claim-specific.
  • Logistics: Internal bot answers "what are the duty rules for shipping X to Y?" from your internal compliance docs, with full audit log per query.
  • Professional services: Inbound enquiry asks about pricing → bot qualifies (industry, size, timeline), books a meeting in HubSpot, attaches transcript.

Frequently asked questions

What kinds of AI chatbots do you build?

Three main categories: (1) customer-facing web/messaging chatbots that answer FAQs, triage support tickets and book appointments; (2) internal staff chatbots that answer policy, product or compliance questions from your internal documents with full audit logs; (3) sales-qualification chatbots that capture lead intent and pass qualified leads to your CRM.

Where can the chatbot live?

Anywhere your customers or staff already are: embedded in your website, inside Microsoft Teams or Slack, on Facebook Messenger, on WhatsApp Business, on Zendesk or Freshdesk, or as a standalone app.

Will it hallucinate?

I design every chatbot with retrieval-augmented generation (RAG), answers are grounded in your documents, not the model's pre-training. The bot is also instructed to refuse and escalate when it cannot find an answer, rather than guessing.

Can it integrate with my CRM and ticketing system?

Yes. Customer-facing bots can lookup the user in HubSpot/Salesforce, check open tickets in Zendesk/Freshdesk, query orders in Shopify, and write new tickets, opportunities or contact records back. Every interaction is logged.

What about data residency and privacy?

Default deployment is AWS Sydney (ap-southeast-2) for ANZ data residency. I can architect on-prem or NZ-only deployments where required. PII is redacted from prompts before they hit the LLM, and full conversation logs are retained per your retention policy.

Want to scope a chatbot for your business?

A free 30-minute strategy call is enough to identify whether a chatbot will pay back, what kind to build, and what it will realistically cost.

Get in touch