Turn business questions into governed answers

Turn business questions into governed answers.

Give finance and commercial teams direct access to answers from your existing company data — with agreed definitions, source references and governance built in.

Problem

Conversational data agents have crossed from news to default: they're built into the platforms you already run.

But the gap between a working demo and a trusted production answer is almost entirely a data-readiness problem that sits upstream of the model.

Senior people spend their cycle rebuilding the same number from five extracts, then write commentary in whatever time is left. The data is already there; access to a trusted answer is still slow.

What changes

We configure a governed Conversational Data Agent around one defined data domain.

We strengthen the business context around the data, capture the logic people currently hold in queries or in their heads, and test the agent against real business questions before users rely on it.

What we deliver
One defined data domain
Agreed metric definitions and business terminology
A working conversational data agent
Source-cited answers to representative business questions
QA / accuracy report and production recommendation

Good fit

  • You already have relevant data in BigQuery or GCP
  • Business users regularly ask follow-up questions that dashboards do not answer
  • Analysts spend meaningful time on recurring requests
  • A business and data owner can join the pilot

Not the right starting point

  • No agreed source data
  • No owner for business definitions
  • The goal is a generic AI demo rather than one measurable workflow
  • Security or parent-company policy prevents the required platform access
Review

Bring one data domain and the questions your team keeps rebuilding.

In 45 minutes we map the workflow, data readiness, governance needs and whether a focused pilot is justified.

Aliz Google Cloud