Koya places trained AI automation developers into businesses full-time to build internal tools, automate manual workflows, and help your team move faster without adding more headcount.
Our developers build around your actual tools, team, and workflows. The examples below show the kinds of projects they could take on.
These are example builds for wholesale distribution teams. Your developer would scope the real version around the tools, data, and approval steps you already use.
This system reads customer orders from messy channels, turns them into clean line items, checks them against your catalog, then prepares the order for ERP entry or human approval. It is built for teams getting orders through email, PDFs, spreadsheets, WhatsApp, reps, and EDI instead of one clean portal.
The order desk gets a clean approval queue instead of manually retyping orders. Straightforward orders move from "someone has to key this in later" to "ready for review in minutes," while messy orders are flagged before they create stock, pricing, or fulfillment mistakes.
This system helps reps turn inbound quote requests into accurate draft quotes. It reads the buyer's request, identifies the right products, checks stock, applies customer pricing rules, and prepares a quote the rep can review.
Reps spend less time digging through catalogs, price lists, and inventory screens. Quote turnaround moves from "we'll get back to you" to same-day review, with fewer missed items and fewer margin mistakes.
This system watches order history, stock levels, open purchase orders, supplier lead times, and fast-moving SKUs to flag inventory risk before it becomes a customer issue. It is useful for distributors where someone still checks spreadsheets or ERP screens to decide what needs attention.
Inventory review moves from manual spot-checking to a focused exception list. The team sees stock risk while there is still time to reorder, substitute, split shipments, or warn customers.
This system is for distributors and brands selling into large retailers or marketplaces. It reads short-pays, chargebacks, deduction files, and remittance notes, then classifies each issue and prepares the evidence needed to dispute it.
AR gets a dispute-ready queue instead of researching each deduction by hand. Retailer deductions move from "we'll look at it when we can" to a structured recovery process with fewer missed deadlines.
Joshua quickly became a key part of our team. He handles complex automation tasks across several client projects, freeing us up to focus on strategy. The process was smooth, and Joshua's skills and communication have been spot on. We're excited to bring on more developers like him as the business grows.
Koya made the process easy to get started. We were paired with an AI automation developer whose experience and past projects we reviewed in his portfolio. He has now been on our team for 9 months, and I'd definitely recommend Koya to any business looking to improve its operations.
You see the work before any commitment. We handle recruiting, payroll, compliance, and coaching.
On the call we pick one workflow, scope it around your tools, and a Koya developer builds it for free. You decide what happens next.