inparlor.
Australia

AI Chatbots & AI Agents.

Chatbots, AI agents, and RAG assistants that ship to production, not demos.

Pricing

Custom quote — proposal within 48 hours

fixed project

Indicative AUD conversion; final quotes are issued in AUD against itemised scope.

Why AU buyers choose us

A US-headquartered senior team building software for Australian businesses, with working hours that overlap AEST, quotes in AUD, and the Privacy Act 1988 built into how we handle data.

  • AEST overlap windows for live calls, demos, and sprint reviews — not just async email
  • Quotes and invoices in AUD, GST shown clearly as a separate line, never buried
  • Privacy Act 1988 and Australian Privacy Principles considered in every data model we ship
  • You own the GitHub repo and deployment from day one — no offshore black box, no licence trap
  • Senior engineers only on the build, the same people who scope the work do the work

We design to the Privacy Act 1988 and the 13 Australian Privacy Principles, keeping personal data handling, consent, and breach-notification posture in scope from the data model up. Every quote separates GST as its own line so the price you approve is the price you pay.

What this includes

Deliverables, line by line.

  • Scoping doc that names the one workflow AI will actually improve
  • RAG pipeline over your documents with source-cited answers
  • Chatbot or in-product assistant wired to your data and actions
  • Agent design with defined tools, action boundaries, and approval steps
  • Eval suite that scores accuracy before and after every change
  • Guardrails for prompt injection, PII, and off-topic responses
  • Vector store setup in pgvector or Pinecone
  • Streaming UI built on the Vercel AI SDK
  • Cost and latency monitoring per feature
  • Fallback and human-handoff paths for low-confidence answers, with source code and prompts in your GitHub org
Process

How an engagement runs.

  1. 01

    Use-case scoping

    One week. We separate the chatbot and agent ideas worth building from the ones that sound good in a meeting. You leave with a scoped feature, a cost estimate per request, and a definition of done that is measurable.

  2. 02

    Data and retrieval

    We ingest your documents, chunk and embed them, and stand up retrieval so answers are grounded in your data, not the model's memory. Every answer can cite its source.

  3. 03

    Build and integrate

    We wire the chatbot or agent into your product with streaming responses, the right model per task, and the actions it is allowed to take. You demo it in your own app, not a sandbox.

  4. 04

    Evals and guardrails

    We build a test set of real questions with known-good answers and score every change against it. Guardrails catch injection, PII leakage, and out-of-scope requests before launch.

  5. 05

    Production rollout

    Feature-flagged launch to a small cohort, with cost and latency dashboards live from day one. We tune prompts, retrieval, and agent behaviour against real usage before expanding.

FAQ

What buyers ask before signing.

Ready to start?

Ready to start with AI Chatbots & AI Agents?

Tell us about your business and current numbers. We respond within 48 hours with scope, pricing in AUD, and timeline.

Get a proposal