Olive Juice Digital — AI tools built for how you already work.

Case studies

Problem, build, outcome.

Two engagements with very different clients. Same method in both: start from how the team already works, then build the tool to fit.

Chicago restaurant · Craft-led local business

Oliver’s

  • Toast
  • OpenTable
  • Weather feed
  • Hotel-occupancy tracker

Calmer mornings for a restaurant GM

The problem

The general manager didn't need to understand a data pipeline. He needed to know how busy the week was going to be, early enough to staff it and plan around it. The signals already existed, scattered across the systems the restaurant ran on every day and a couple of outside sources.

The build

A foot-traffic forecast that pulls from the tools the restaurant already used (Toast and OpenTable), alongside a weather feed and a hotel-occupancy tracker. The output was shaped around the GM's existing planning routine, not a new dashboard he'd have to learn.

The outcome

The GM plans events and staffing ahead of demand instead of reacting to it on the day. AI-shaped on the inside, outcome-shaped on the outside.

Rare-disease research nonprofit · Mission-driven

Usher III Initiative

  • AI-assisted search
  • Repeatable research process

A repeatable research pipeline toward a cure

The problem

The Usher III Initiative is a rare-disease research nonprofit working toward a cure. A compound that can treat more than one disease reaches more patients, draws more funding, and has a faster path to a treatment. But finding those adjacent diseases is slow, specialized research. The team didn't need a chatbot. They needed a way to run that search again and again.

The build

As an outside consultant, Allie designed and built a repeatable, AI-assisted search process for identifying other diseases the same compound might treat. The goal was a method the team could own and repeat, not a one-time answer handed over at the end.

The outcome

A research method the team can rerun as the science moves, instead of a one-off report. A wider disease application means more patients, more funding, and a faster path to a treatment.

Have a problem shaped like one of these?

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