A look at the problems we've been brought in to solve, what we built, and what changed. Replace these with your own case studies as projects ship.
A finance team was manually reading every incoming invoice PDF to route it to the right approver and cost center.
An agent reads each invoice on arrival, extracts vendor, amount, and line items, matches it to the right cost center, and routes it for approval — flagging anything unusual for a human.
Manual triage time cut from ~6 hours/week to under 30 minutes.
Inbound leads sat unsorted in a shared inbox; sales followed up with everyone in the order they arrived, regardless of fit.
Leads are scored against the company's actual ICP as they arrive, enriched with public firmographic data, and the best-fit leads are routed straight into the CRM with a summary attached.
Sales now spends first-call time on the leads most likely to close.
One inbox handled billing, bugs, and general questions, all triaged by hand before anyone could respond.
Incoming tickets are classified and routed to the right queue automatically, with draft responses prepared for the most common request types for a human to review and send.
First response time dropped, and the team stopped losing tickets in the shuffle.