AI inbound sales that lives in your stack, not on a vendor's roadmap. Shipped from South Australia.

Whyalla 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 inbound sales template would catch.

What AI inbound sales actually does

An AI agent that picks up every inbound enquiry the moment it lands - qualifies the lead, answers their questions with your real product knowledge, books the meeting, and only escalates the deals worth a human conversation. No more leads cooling off in the inbox overnight.

  • 01 Instant reply on web forms, email, WhatsApp, and Facebook Messenger
  • 02 Qualifies budget, timeline, decision-maker before booking a call
  • 03 Trained on your actual sales playbook - not a generic chatbot
  • 04 Books straight into the right rep's calendar with the right context

Built on: Claude / GPT-4 for conversation Cal.com or HubSpot Meetings Vector store of your sales collateral Slack alerts for hot leads

The pattern across Whyalla engagements we've shipped.

  • Whyalla is a steel town rebuilding around green hydrogen and renewables, and its supplier base is retendering for work it has never done before.
  • Steelworks, iron ore, and a large green energy transition pipeline. Local contractors are writing proposals for new industries, which has sharply increased the documentation load.

We work with teams across Whyalla: Whyalla Norrie · Whyalla Stuart · Whyalla Playford · Whyalla Jenkins.

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How we build AI inbound sales for a Whyalla team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whyalla business, so value lands before the build is finished. Every lead, instantly.

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The outcome for Whyalla teams

The shape of the result for Whyalla teams: An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. Built on Claude / GPT-4 for conversation, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

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

A two-week paid discovery for Whyalla 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.

What's the realistic outcome for Whyalla businesses?

An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What tools do you build AI inbound sales on?

For AI inbound sales we usually reach for Claude / GPT-4 for conversation, Cal.com or HubSpot Meetings, Vector store of your sales collateral, Slack alerts for hot leads. We're tool-agnostic at heart - we pick what your Whyalla team can actually run after we hand the build over, not what looks good on a vendor sticker.

Sketch this with us.

We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.