CUTTING REPORTING TIME BY 80% FOR A SAAS STARTUP

The team was spending four hours every Friday pulling numbers from five different tools, pasting them into a Notion template, and writing a paragraph summary for their weekly investor update. Twelve people. Every week. Multiplied across a year, that's over 2,500 person-hours lost to copying and pasting.

The fix wasn't a BI dashboard - they already had one, and nobody read it. What they needed was a narrative, not a table. So we built a pipeline that pulls the raw metrics automatically, feeds them to an LLM with a structured prompt that knows the company's goals, KPIs, and reporting voice, and outputs a draft update in the exact format their investors expect.

The pipeline runs every Friday morning. By the time the team arrives, the draft is sitting in their Slack channel. They spend fifteen minutes reviewing and tweaking, then send it. Total time: from four hours to twenty minutes.

The interesting technical challenge was handling metric drift - months where a number goes up for a good reason vs. a bad reason look identical to the model. We solved this by giving the LLM a structured "context feed" alongside the raw numbers: current quarter goal, last week's note from the CEO, and any flags the team manually sets. The result is summaries that are contextually accurate, not just numerically accurate.

Cost to run: under $3 per week in API calls.