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Free 45-min audit for Australian retailers

AI Opportunity Audit for Australian Retail & E-com Operators

3 free audits left this month

45 minutes on Google Meet. A 48-hour PDF deliverable. Three to five AI opportunities specific to your store — with the platforms you already run: Shopify, BigCommerce, Klaviyo, Gorgias, Zendesk.

  • No sales pitch. The audit IS the value.
  • First 3 each month: pilot at-cost in exchange for a case study.
  • Built by an Australian engineer (Monash IT, 10+ yrs in production AI).
  • Shopify
  • BigCommerce
  • Klaviyo
  • Gorgias
  • Zendesk

What an audit usually surfaces.

Three findings from the last twelve months, one per vertical. Numbers verified by the client. The audit identifies which patterns fit your operation, not all three at once.

Finding 01 · Inbox composition

$40k

AUD/year support cost no longer scheduled. One AU Shopify DTC retailer, 60% of inbox routed through draft-reply pipeline.

Most tickets are status checks dressed up as questions.

One AU Shopify DTC retailer cleared 60% of its support inbox (status checks, swap requests, stock questions) through a pipeline that drafted replies for the support agent to send in one click or rewrite when needed. The agent stayed in the loop on every reply; the model never auto-sent. Net result: AUD $40,000 a year in support cost the founder no longer schedules.

What we'd build

  • Shopify
  • Gorgias
  • Klaviyo
  • Zendesk
  • n8n
  • Claude API

What it would not solve

If your support volume sits under roughly 200 tickets a month, this is not your fit. The build pays back when the drafting layer materially compresses agent time per ticket, and that needs a steady ticket stream to land against.

Book your audit.

Most calls end with “you don’t need this yet” rather than a proposal. That is the filter.

Can’t find a slot that works? Email admin@raava.com.au and we’ll find a time.

Or email admin@raava.com.au if you'd rather start in writing.

Raava builds on Claude API, LangGraph, PyMuPDF, FastAPI. Production AI infrastructure. Your storefront keeps running Shopify, BigCommerce, Klaviyo, Gorgias, Zendesk. We layer the AI work on top. No rip-and-replace.

  • Claude API
  • LangGraph
  • PyMuPDF
  • SurrealDB
  • FastAPI
  • n8n

What the audit actually delivers

01

45-min Google Meet audit

We map your current operations. Where your support queue piles up. Where post-purchase communication breaks down. Where catalogue work is eating your team's time.

02

48-hour PDF deliverable

A written PDF identifying 3–5 AI opportunities specific to your store. With realistic effort estimates in AUD and clear notes on which platforms each one touches.

03

Tiered proposal

Three options — DIY-with-our-playbook, Raava builds it with your team, or full-service. You pick the one that fits your current stage.

Three calls last quarter that ended without a proposal.

When the math does not work, we say so.

Wednesday 14 April · Healthcare clinic

A 12-clinic Victorian GP network had after-hours volume of four calls a week, all going to voicemail. The audit recommended a casual receptionist at $40 an hour, three evenings. Cheaper than any pilot we would have built. They hired.

Tuesday 28 April · Mid-tier accounting firm

An eight-partner Melbourne firm processing eight briefs a month through manual partner intake. The pilot pays back at thirty briefs a month, not eight. We recommended waiting until volume climbed. No proposal sent.

Monday 11 May · Australian DTC store

A Shopify founder at $400,000 annual revenue, support inbox at thirty tickets a month. The draft-reply pipeline pays back at two hundred plus, not thirty. We told her to hire a part-time agent first.

Questions you should ask before booking

What's the catch?

There isn't one. The audit is genuinely free because it's also how I filter for fit — most calls end with me saying "you don't need this yet" rather than a proposal. It saves both of us time.

Are you trying to sell me something at the end?

Sometimes. If the audit identifies a clear opportunity I can build, you get a tiered proposal in the 48-hour PDF — three options at different price points. If there isn't a fit, you get the audit findings and we part ways. No follow-up sequence.

How long does the audit take?

45 minutes on Google Meet. The 48-hour PDF deliverable arrives by email within two business days.

What if I'm not technical?

Most store operators I talk to aren't. The audit is a conversation about your operations and customer workflow, not a tech review. I translate.

Do you charge for the audit itself?

No. The 45-min Google Meet is free. The 48-hour PDF is free. If we move forward into a build, that's quoted separately and starts at $4,000 AUD for a small AI support pilot.

What tools do you use?

I work with what your store already runs — Shopify, BigCommerce, Klaviyo, Gorgias, Zendesk, and whatever else is in your stack. Anthropic Claude for the AI layer. Custom integrations or n8n for the workflow glue. I don't push a particular platform.

What's the actual deliverable?

A written PDF, 6–10 pages, identifying 3–5 specific AI opportunities for your store. Each one has: the workflow it addresses, realistic effort in days, AUD cost range, and whether it is a quick win or a longer build.

How should I prepare?

Be at a quiet desk with screen-share working. Have a rough sense of where your team spends repetitive time — support volume, catalogue work, post-purchase comms. That is it — no pre-reading, no slide deck, no homework.

Audit conversations stay in Australia. Booking data lives on Cal.com’s Sydney region. Build artefacts live on Australian-region Vercel and Supabase infrastructure. Data residency is a conversation we have on the call, not a footnote.

Ready to book?

Forty-five minutes on Google Meet. A 48-hour PDF deliverable. Three audits left this month.