What it looks like when it runs.

Answering a customer meant digging through documentation and piecing together what that customer had and used. A single question could take 5 to 30 minutes, and the answer depended on who was asking.

An AI system that finds answers in the documentation in seconds and keeps a running record of what each customer has and uses.

Our people handle the technical support and account management work as part of the client's team. AI finds the answer, our associate checks it and replies. It was tested on real work before going live, and it's in daily use.

Associates report that questions that used to take 5 to 30 minutes now take seconds.

Procedures lived in shared documents, requests were typed into a form and sorted by hand, and much of the know-how lived with a few experienced managers. Nearly every question landed in a manager's queue, and new hires depended on whoever was around.

Our associate works inside the client's operation every day, running sourcing and purchasing: vetting suppliers, comparing quotes, and managing purchases. He saw where the bottlenecks were, then designed and built an AI assistant every employee uses from the shared tablets in each location, so nobody needs their own device. It answers from the procedures management has approved for that location, and sends anything that needs a person to the right one.

A procedure only becomes available after management approves it, and updates wait for approval too. Business rules, not the AI, decide what each person can see and who gets alerted. When there's no approved answer, it says so and brings in a person instead of guessing.

Shorten training time, take routine questions off managers' plates, and turn everyday requests into organized work. We'll share the results once they're measured.