Automated Reporting
What is Automated Reporting?
Most B2B revenue teams still have a human who spends Monday morning rebuilding the same report they built last Monday. Automated reporting kills that — the report is a system, not a deliverable. It pulls from the source of truth on a schedule, applies the same logic every time, and lands in the inbox, Slack channel, or shared doc where stakeholders expect it. In 2026 the bar is higher: reports include narrative summaries written by an LLM ("clicks fell 20% this week, primarily driven by a position drop on brand queries"), call out anomalies automatically, and link to the underlying data for the curious. The win is twofold: hours of human time recovered, and consistency that the manual process never had.
Why it matters
- Saves the recurring hours an analyst would otherwise spend rebuilding the same view.
- Removes the inconsistency of "last week the report had a different definition".
- Makes anomalies impossible to miss — a flat number that should be growing fires an alert.
Use cases
- Daily pipeline standup report. Yesterday's new opportunities, closed-won, at-risk deals.
- Weekly SEO/AEO report. Clicks, impressions, top queries, biggest movers, narrative summary.
- Monthly board metrics. MRR, NRR, CAC, magic number, with charts and YoY deltas.
How turgo helps
turgo's reporting agent can generate any scheduled report from the underlying data — with an LLM-written executive summary that calls out what changed and why.
See turgo in action →
