120–150+ hours per reporting cycle. Manual assembly. Heroics instead of a system.
Standards + AI-supported assembly + a pipeline built for reuse, not one-off decks.
Under 15 minutes to produce the cycle. Lean team, decision-ready output.
Every large marketing org has a reporting tax. At enterprise scale it isn’t “make a chart.” It’s reconciling definitions, chasing late inputs, reformatting the same story for different audiences, and hoping nothing breaks the night before leadership looks.
I treated that tax as an operating problem, not a staffing problem.
The real failure mode
Most reporting “transformations” fail the same way: a prettier template, a new BI tool, and the same manual glue underneath. The bottleneck was never the slide software. It was the absence of a production path — clear inputs, fixed definitions, automated assembly, and a human review layer that only touches what still needs judgment.
What we built
- Stable definitions first — what counts, what doesn’t, and which metrics leadership actually decides with.
- A repeatable assembly pipeline — platform data + AI-supported synthesis into a consistent structure every cycle.
- Human review where it earns rent — insight and narrative, not copy-paste and cell formatting.
- Speed as a feature — when the cycle compresses, the team can answer questions while the quarter is still alive.
Quarterly global digital reporting effort dropped from 120–150+ hours to under 15 minutes. Same job, different system.
Why this matters beyond the metric
Time saved is the easy headline. The deeper win is operating leverage: a lean team that can produce executive-grade visibility without burning a week of calendar every cycle. That frees capacity for the work that actually moves performance — diagnosis, bets, and follow-through.
This is the pattern I care about: take a painful, recurring marketing process and turn it into infrastructure. Not a demo. Not a pilot. Something that runs when nobody is watching.