Jovis AI
Why self-service analytics failed—and what to build instead
Giving everyone a dashboard did not remove the question queue. Learn how to design governed exploration around real business decisions.
Articles
What business-data context a useful answer needs
A business answer needs more than a number. Learn how definitions, lineage, time, permissions, and operational history turn data into a decision.
What a good AI-enabled weekly business review looks like
Design a weekly business review that uses AI to surface movement and evidence while keeping judgment, ownership, and decisions with people.
Turn recurring business questions into useful AI agents
Find a repeated, consequential question and turn it into a bounded AI-agent workflow with trusted sources, tests, an owner, and a clear next action.
Trusted AI answers require sources, definitions, and permissions
Use a practical trust contract for business-data AI: approved sources, shared definitions, access checks, inspectable evidence, and known limits.
The hidden cost of waiting for a business answer
Learn how to measure decision latency, separate recurring questions from custom analysis, and reduce waiting without removing data quality controls.
How to investigate pipeline risk before the forecast meeting
Use a repeatable pre-forecast investigation to find stale activity, repeated slips, weak next steps, and customer signals behind the coverage number.
From Slack question to decision: an operations workflow
Turn recurring questions in chat into governed investigations with clear evidence, ownership, and a documented decision.
A practical AI governance checklist for business data teams
Use this checklist to define an agent's job, approved data, permissions, evaluation, monitoring, and accountable owner before launch.
7 leadership questions to answer without a data request
Use these seven questions to move from a changed metric to the records, customer context, risk, and decision behind it.