Agentic AI built on operational data.
Six years building the workflows Australian enterprises depend on. Now we’re deploying Google AI inside them.
our data and ai practice
Our work inside more than 200+ Australian and global enterprises have taught us how operations actually work.
Our Google Cloud practice is where that depth meets agentic AI.
why now
The bottleneck is almost never the AI itself. It’s the workflow that was never designed to support it, the data that was never governed, and the vendor that did not understand the operation well enough to bridge the gap.
The organisations making AI work are not doing more experimentation. They are embedding AI into the workflows their teams already rely on. That’s the foundation of the work we’ve been doing across 200+ Australian enterprises.
of enterprise AI pilots fail to reach production.
Why Google Cloud
Google Cloud is the data and AI infrastructure layer for some of the most complex operations on the planet.
It’s where enterprise-grade AI actually runs, and it’s why we built our practice on it.
tech
BigQuery, Looker, Vertex AI, and Gemini were all chosen for a specific job: governing your data, making it accessible, deploying AI on top of it, and automating across it.
This is our stack, not assembled per engagement.
Compatibility
Google brings intelligence to where your data already lives, including data in other clouds and on legacy systems.
You don’t need to rebuild your stack before you start seeing value.
Flexibility
Google Cloud is built on open standards and interoperable APIs, from Kubernetes to BigQuery’s open data formats, so your existing tools and investments aren’t locked out.
You’re not replacing your stack, you’re extending it.
Why Work Perfect
Most organisations have the workflows. What’s missing is the operational depth to make AI act on it correctly, not just automate around the edges.
That’s the difference between an AI programme that stalls after the pilot and one that changes how the business operates.
Most AI partners start an engagement by learning how your organisation works from scratch.
We start from six years of operational depth across 200+ Australian enterprises, so the AI programme is built on how your operation actually functions, not a generic template.
Most programmes split workflow, data, and AI across multiple different vendors.
We cover all three, connecting your operational workflows to BigQuery, Looker, Vertex AI, and Gemini.
The first step
A half-day session with your team. We map your workflows, identify where data and AI creates real return, and build a roadmap you can act on.
Co-funded by Work Perfect and Google Cloud. No obligation to proceed.