System
AI around BI and reporting tools
BI tools are good at showing what happened. The cost usually sits in the work to assemble, reconcile and explain the numbers. AI is useful where it drafts narrative, surfaces anomalies and reduces reconciliation effort.
Who this is for
Heads of data, BI leads and finance/operations leaders using Power BI, Tableau, Looker, Qlik or similar tools.
Common problems we see
- Slow reporting cycles and late insight.
- Numbers that do not tie out across reports.
- Manual narrative and commentary work.
- No clear ownership for individual reports.
Useful workflows
- Reporting and insight workflows.
- Reconciliation and checking workflows.
- Monitoring and alerting on key metrics.
- Approval and review on report changes.
What WithPraxis might build
- Narrative drafting assistants for monthly reporting.
- Anomaly and exception flags layered on existing dashboards.
- Reconciliation checks across reporting sources.
- Governed assistants that answer reporting questions from agreed sources only.
Governance and control
Definitions and ownership stay with the data team. AI output is grounded in known measures and is always reviewable.
Where this connects