AI-Ready Analytics
Make your data usable by AI: clean BigQuery schemas and a semantic layer that AI agents can query reliably, plus hands-on enablement so your marketing team works with AI instead of around it.
AI is only as good as the data you point it at
Every team is experimenting with AI, and most experiments die at the same wall: the data. Cryptic table names, undocumented metrics, five versions of revenue. An AI agent pointed at that produces confident nonsense. We make your analytics stack AI-ready: clean, documented BigQuery schemas, a semantic layer that defines every metric once, and safe read access patterns for AI tools.
Built by a team that runs on AI itself
This is not theoretical for us: our own audits, pipelines and analyses run with AI agents on BigQuery daily. We bring that working experience to your stack: which schema patterns AI queries reliably, where guardrails belong, and how to connect tools like Claude or ChatGPT to your data without exposing what should stay private.
A team that asks its data directly
The end state: your marketing and e-commerce team asks questions in plain language and gets answers from your own data, with the definitions you trust. We pair the infrastructure with enablement sessions, so the capability lands in your team instead of staying a demo. This is for teams that sense AI should be transforming their analytics work and want it grounded in their real data rather than another chatbot pilot.
FAQ
Which AI tools does this work with?
Is our data safe?
Do we need the full BigQuery setup first?
What does enablement look like?
