The hardest test of an AI-for-operations platform is whether you would run your own business on it. We do. Before we take a pattern to clients, we prove it on ourselves.
The challenge
Like most growing companies, our operating data lived in spreadsheets and disconnected systems — sales, delivery, finance and recruiting each telling part of the story. Answering a straightforward leadership question often meant a manual pull across several files, and the answer could take days. There was no single source of truth, and reporting consumed real time every week.
The approach
We treated our own company as a client. The goal was simple: one trustworthy model of the business, reporting leaders actually use, and the ability to ask questions in plain language instead of waiting for a report.
What we built, on Google Cloud
- A unified data model on BigQuery — records from our operating systems brought into one warehouse with consistent, conformed definitions.
- Executive reporting in Looker — dashboards for the metrics leadership tracks, refreshed automatically.
- An “ask-your-business” Gemini agent — natural-language questions answered from the approved model, with every number traceable back to source.
The outcome
Questions that used to take days are answered in minutes. Reporting is standardized and largely automated. Most importantly, we now have a single source of truth — and a working reference implementation we can show any client weighing the same move.
Published by Avanciers Digital. This reflects how we work with clients — talk to us about applying it to your business.