Your reporting, assembled from the warehouse.
Google Cloud and BigQuery are where a great deal of enterprise reporting data already lives. The problem is rarely the data — it is that a team rebuilds the same pack by hand every period, under time pressure, and writes the same commentary from memory. Agents that read BigQuery directly turn month-end from a rebuild into a review.
What Google Cloud does
Reads the warehouse directly
No waiting for an extract, no re-keying into a spreadsheet. The agent queries the data where it already lives.
Assembles the recurring pack
The reporting a finance or operations team rebuilds every period, built to the structure they already agreed.
Drafts the commentary
Not just the numbers — the first pass of the narrative. What moved, by how much, and against what. The team reviews rather than starts from a blank page.
Works with what you have
If your data already lives in the Google stack, that is the starting point. Nobody needs a migration to get value.
Connects to
The systems your business already runs on. We prioritise the connectors where your people lose the most time.
- BigQuery
- Looker
- Google Workspace
- Google Analytics
- Cloud Storage
- Pub/Sub
- Salesforce
- Vertex AI
What it has delivered
Why JOURN3Y for Google Cloud
- Built and running in production for the finance function of one of Australia's largest media organisations
- We build agents that produce the reporting, not dashboards that describe it
- We work with the stack you already have rather than proposing a migration first
The work we build on Google Cloud
Deploying the platform is the start, not the finish. We build the agents that do real work on top of it — Finance Reporting and more.
See the agents we buildGoogle Cloud questions
What can AI agents do with BigQuery?
They can read your reporting data directly and assemble the recurring packs a team would otherwise rebuild by hand every period — including a first draft of the commentary, not just the figures. Month-end becomes a review rather than a rebuild.
Does this replace our finance team?
No. It removes the assembly, so the team spends period-end reviewing and explaining rather than copying and pasting. The judgement stays exactly where it belongs — with the people who have it.
Do we need to migrate off Google Cloud?
No, and we would push back if someone suggested it. If your data already lives in the Google stack, that is the starting point. We have agents in production reading BigQuery for the finance function of one of Australia's largest media organisations.
Can agents write back, or only read?
Both, where it is appropriate and safe. Reading is where most of the value is, but we have built agents that take actions in Salesforce and raise tickets off the back of what they find. What an agent is allowed to change is a decision we make deliberately with you, not a default.
Talk to us about agents on Google Cloud
We deploy it, build the agents that run on it, and teach your people to build their own.
Talk to us about agents on Google Cloud.png&w=96&q=75&dpl=dpl_ARd9DoC4YLepaQM16NqynQbv4cJm){kind=logo}