I've used it three ways: leading finance teams as their work changed, building tools I run every day, and testing a product idea with the people who would use it.
Forecasting and planning that used to take people days, so the team could spend that time on the decisions.
Two systems running every day: one for my own network, one inside a retail and membership business.
A prototype for acquisition integration, in discovery with finance and integration leaders. Not for sale.
In my corporate finance roles, I led planning for what we bought, about $800M a year of hardware cost, using AI-enabled forecasting. The aim was to move the team's time from compiling numbers to explaining them and making recommendations.
My network lived in three places, and none of them could tell me who I was letting go cold. Alice reads what I already have and each morning ranks where the next hour is best spent, and why. I built it in eight days.
Read about Alicefrom three sources, with 1,500+ proposed changes, each decided by me.
A retail and membership business had seven systems, each telling a different story. Throughline puts them in one place and gives every recurring decision one page. The software proposes the next step and a person commits it. The hard part has been the team's habits.
Read about Throughlinepoint of sale, CRM, ads, books, payroll and more, with one page per recurring decision.
When a company buys another, its departments each work from their own plan, and nobody can see the whole. PolarAIs is a prototype that gives everyone one shared view of where the integration stands and what each decision costs. I'm testing it in interviews with finance and integration leaders before building further.
Read about PolarAIsIn discovery. Not sold.
I'm excited about AI, and I know where it belongs: on the tasks, with people keeping the decisions and the accountability.