Analytics
Give the analyst back Tuesday
Reporting cycles eat the week. Automate the preparation, keep the interpretation, and be precise about which is which.
Written by
Founder desk, Agentic Global
Updated
11 July 2026
Reading time
5 minutes
- Setting
- A B2B software company, one analyst, a weekly commercial review
- Freed to
- ask the questions the dashboard was never going to raise on its own
Agents observed doing this work
Databricks Genie · Snowflake Cortex Analyst · Hex Magic
Named for reference only. Capability data is held separately in the registry and sourced from vendors and public material, with provenance on every field.
Open the registryThe situation
The weekly review consumed three days of a four-day analyst week: pulling, cleaning, formatting, and writing a commentary that mostly restated the chart.
What we did
We built the semantic layer first. Without agreed definitions of “active account” and “churn”, an agent will answer fluently and wrongly, which is the worst available outcome.
The agent prepares, checks for anomalies, and drafts a factual summary. It has read-only credentials. The interpretation section is written by the analyst and marked as such on the page, so no reader has to guess which sentences a person stands behind.
What changed
The cycle fell from three days to about half a day. The commentary got shorter and more useful, because the analyst had time to notice that a movement everyone had blamed on demand was actually a broken pipeline.
What to watch for
- Ask whether the tool abstains when the data is thin. Most do not; they answer anyway.
- It will find correlation and describe it as though it were cause.
- Query costs from agentic tools surface a month later. Set a ceiling before the pilot.