Audiences AIAbout
The firm exists because the missing layer kept being the same one.
Audiences AI designs and builds decision systems: the layer between what a business knows and what it does next. The first two products carry that layer into retail and manufacturing, with a longer industry map queued behind them. Custom engagements build it around decisions that fit neither, and a leadership workshop decides where it should go first.
The record
Before founding Audiences AI, Rohan Talati spent twelve years leading data science and analytics inside large consumer businesses, most recently as Senior Director of Data Science at Macy’s and before that as VP of Analytics at Citi. The operating record across those roles: more than $570M in incremental revenue impact, across 25+ decisions taken out of meetings and turned into running systems.
The pattern that produced this firm showed up in every one of those engagements. The models were rarely the constraint. The decision was: unowned, unmeasured, and remade from scratch every quarter.
How the work runs
The firm operates between leadership setting direction and the technical teams building systems. Decisions get named owners. Artifacts are measurable. Handover is part of the build, because a decision system that needs its builder in the room is a consulting engagement wearing a costume.
| Education | Columbia University, MS in Operations Research |
|---|---|
| Affiliation | Harvard Business Review Advisory Council |