AI email triage in Taupō.

AI inbox manager – wired into a Taupō workflow, not bolted on the side.

Get a sharp read on AI email triage – built for Taupō.

A 15-minute call. We'll sketch what's worth building first – honest read, even if you don't end up working with us.

What this is

AI inbox manager

Inbox gets the AI treatment – drafts replies, files quotes, escalates the urgent, and snoozes the noise. Your team starts the day at zero, not 200 unread.

Inbox time cut from 2 hours/day to under 30 minutes.

How it helps your Taupō team

What you actually get.

  • Drafts replies in your tone, ready to send
  • Auto-files attachments to the right job folder
  • Detects complaints and pings the right person
  • Weekly digest of what was handled while you slept

Taupō sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI email triage template would catch.

The shape of the result for Taupō teams: Inbox time cut from 2 hours/day to under 30 minutes. Built on Claude, hardened with the rest of the stack as it scales.

Our field notes from Taupō builds.

Hospitality, accommodation, adventure tourism, and trades supporting a building boom. AI helps the small-team operators look big.

We work with teams in

CBDAcacia BayKinlochTurangiWhakatane

What we build

AI email triage, tailored to Taupō businesses.

Built on: ClaudeGmail APIMicrosoft GraphVercel

Common questions

Before you book the call.

How fast could we have AI email triage in production? +

Eight to ten weeks for most Taupō businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What's the smallest engagement you'd take on? +

A two-week paid discovery for Taupō businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Anyone else in this space using AI email triage? +

Plenty. Inbox time cut from 2 hours/day to under 30 minutes. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

What if our Taupō doesn't have any data ready? +

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI email triage specifically, we typically run that work on Claude, Gmail API, Microsoft Graph, Vercel and assume messy starting conditions from day one.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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