AI Automation
Pulse AI Platform
Automating operations intelligence for a Series A startup.
Overview
Pulse had 12 data sources, 4 dashboards, and no single source of truth. Their ops team spent 14 hours per week compiling reports that were outdated by Monday.
The engagement
Problem, solution, outcome
01
The problem
Manual reporting was error-prone, slow, and consumed the most expensive hours of the ops team's week. Reports reached leadership 72 hours stale.
02
The solution
We built a custom AI pipeline ingesting all 12 sources, normalised the schema, and surfaced weekly operational summaries via a fine-tuned LLM — one minimal dashboard with natural-language summaries and anomaly alerts.
03
The outcome
14 hours of manual work reduced to 20 minutes of review. The system flagged an inventory anomaly in week three. The pipeline scales automatically as new sources are added.