For operators drowning in work that shouldn’t need a human

AI and Automation That Earn Their Place in Your Business.

A Google Premier Partner. We start with a readiness audit that maps where AI will pay off, and where it won’t, then engineer what gets you there.

I need to:

Pick the one you're here for and the page tunes to it. Or just tell us in the form.
Either way, an engineer replies within one business day.

Built on Google Premier PartnerAWSAzureAnthropicOpenAI
About Juicebox

An independent Perth agency of twenty years, built so brand, build and growth answer to one team.

That is why an automation we build is shipped by the people who already run your site, your CRM and your data, rather than handed off to a separate lab.

Meet the people you’d work with
  • 2005 Founded in Perth, independently owned every year since, and still headquartered here.
  • Perth & Jakarta Two studios serving ambitious brands across Australia and Southeast Asia.
  • Accredited Google Premier Partner, Meta Business Partner, and certified on HubSpot.
  • Ehrenberg‑Bass A corporate sponsor of the Institute, whose evidence base shapes how we plan growth.
The Juicebox team gathered outside the studio in West Leederville.
Most of the team, outside the studio in West Leederville.
5,000+
Advisers now run their practice on Capitaliz, a 21-step methodology we shipped as a SaaS.
Productise IP
Premier
Google Premier Partner, building on AWS, Azure, OpenAI and Anthropic.
Credential
3 phases
Discover & Define, Build & Deploy, Launch & Evolve. No black boxes.
Method
Since 2005
Twenty years independent. We’ve rebuilt ourselves through every platform shift since.
Continuity
Why Juicebox

Most teams weigh us against three options. Here's how we compare.

If you’ve got a real process problem and a budget to fix it, this is where we do our best work.

 
AI point-vendor
Big consultancy
Juicebox
Tells you when not to
The answer is always their product
~ The answer is always a longer engagement
Phase one is a readiness audit with success metrics. If the honest answer is “not yet”, you’ll hear it before you’ve spent the build budget
Builds into what you already run
A bolt-on that lives beside your systems
~ A roadmap; implementation is someone else’s problem
Integrations across your existing systems and data pipelines, with the right LLM for each job, not one model for everything
Someone owns it in year two
Support ticket queue
The team that scoped it has moved on
We monitor, retrain and refine as models change. Most engagements continue for years

AI should make businesses more human, not less. Smarter decisions, faster outcomes, better experiences, and people freed from the work that never needed them.

Meet the team

The engineer who scopes it is the engineer who builds it.

In-house strategists and engineers, from day one. No offshore hand-off, no junior implementation team you meet after signing.

Andre, Group CTO at Juicebox
AndreGroup CTO
Emma, Head of Projects at Juicebox
EmmaHead of Projects
Natasha, Design Director at Juicebox
NatashaDesign Director
Pip, Engineering Manager at Juicebox
PipEngineering Manager
Selected work

Built once. Still running.

Where intelligence went into the business, not into a slide deck.

Insights

Latest news, work, perspectives and recognition.

Thinking and work shaped by what's next, straight from the studio feed.

New work05.07.2026

State Buildings website launch: Redefining a hospitality icon

Studio news29.06.2026

Perth takes on the world at Cannes Lions 2026

Perspectives24.06.2026

What 906 designers told Figma. And what it means for the work we do.

Awards22.06.2026

Kleenheat Spark wins Canstar Innovation Excellence Award

Awards26.05.2026

Australian Web Award Winners 2026: Floating Forest & Kent Removals

New work20.05.2026

Ear Science Institute Australia website launch: research that leads, care that listens

How we deliver AI impact

How it works, and what it costs.

Most intelligence engagements begin with the Diagnostic.

01

Discover & Define

Identify high-impact AI opportunities against your business vision, strategy and operational priorities. We map your existing service design and workflows, find the redundant work, and prepare an AI readiness roadmap with success metrics attached.

02

Build & Deploy

Engineer smarter workflows and automations that fit your customer experience and your operational systems. Bespoke business agents, integration with your existing systems and data, automated workflows, and explicit decisions about where a human stays in the loop.

03

Launch & Evolve

Monitor, train and optimise. We track the success metrics we agreed in phase one, refine the agents, and change the underlying models as better ones ship. The landscape moves; your systems shouldn’t be frozen at launch.

The Diagnostic $15k–$40k An AI readiness audit, opportunity map and recommendation, with success metrics. Fixed scope, and you own the output whether or not you continue. 2–4 weeks
The Foundation $80k–$250k Build the intelligence platform: first AI tools, automated workflows and integrated systems. 3–6 months
The Whole $250k+ Enterprise transformation across operations, customer experience and growth. 4–6 months+

We'll scope and quote against your specifics. Where yours lands is what the first call is for.

In their words

"They devised a strategy based on success metrics and delivered on the implementation of technology and automation which has made us a more profitable business."

Scott Iriks
Managing Director, Easi Group
The engineer who scopes the Diagnostic is the one who builds what follows.
Real, named people, on the first call and every one after.
"The team ‘magically’ turned our 21-step planning IP into an amazing SaaS platform." Craig West Founder · Capitaliz
"Smart brands don’t chase attention. They earn relevance through clarity, creativity, and the systems that help them keep pace." Rhett Ardon Digital Strategy Director · Juicebox

Trusted by leading Australian brands

Skull Island Coca-Cola Kent Removals & Storage Optus Stadium PROK Termi Kleenheat TEDx Ehrenberg-Bass Institute CFIGS
Before you brief us

The questions teams ask before committing to AI.

Where to start, what it costs, and what happens if the answer is “not yet”.

Where do we start, and what does it cost?+
Almost everyone starts with the Diagnostic: a fixed-scope AI readiness audit at $15k–$40k over two to four weeks. You get an opportunity map, a recommendation and the success metrics we’d hold ourselves to, and you own all of it whether or not you continue. Build engagements from there typically run $80k–$250k, and enterprise-wide programmes more.
What if AI isn’t the right answer for us?+
Then the Diagnostic will say so, and that’s a legitimate outcome. Phase one exists to find where AI will make the biggest impact, which necessarily means identifying where it won’t. We’d rather tell you that for $20k than build you something for $200k that nobody uses.
Will this work with the systems we already have?+
That’s most of the job. We integrate across your existing systems and data pipelines rather than replacing them, and we choose the right model for each task instead of running everything through one. We build on AWS, Azure and Google, integrate OpenAI, Anthropic Claude and Gemini, and use LangChain and LangGraph for multi-step agent workflows that hold context.
Is our data safe?+
Designed in from day one, not retrofitted. We’re ISO 27001-certified and follow OWASP practices, least-privilege IAM and automated dependency auditing. Decisions about which data leaves your environment, and which models it touches, are made explicitly in phase one, not by default.
Can’t AI just do this itself now?+
For some things, genuinely yes, and we’ll point you at the tool rather than sell you a project. For anything that touches your real systems and real customers, no. AI can generate a layout in seconds. That’s the problem, not the solution. When everyone pulls from the same tools, the output blurs. The value is in the integration, the judgement and the parts a model can’t see.
Will it replace our people?+
That’s not what we build. Operational AI frees people from low-value, repetitive work so they can do the work that needs them, and we set explicit human intervention milestones as part of the build. AI should make businesses more human, not less.
More from Juicebox

AI is one part. Here’s the rest.

Same in-house team and the same delivery standards across every discipline.

Ready when you are

Tell us the process you'd fix first. We'll tell you whether AI is the answer.

One conversation with the engineer who'd lead the build. No obligation.

Reply within one business day Engineer on the first call Indicative scope + investment An honest answer, including “not yet”
Book a consult