AI-native ERP
AI-Native ERP for Companies That Make and Ship Products
Most AI-native ERPs are built for finance teams closing the books. ianaiERP also runs the shop floor and the warehouse: production, inventory, planning and accounting on one database, with AI doing the configuration.
An AI-native ERP is designed around AI from the start, rather than a traditional ERP with an assistant added later. In ianaiERP, AI configures the system during implementation, maps and cleans your legacy data, forecasts demand and lead times, drafts BOMs and production schedules, and answers operational questions in plain English. ERP, manufacturing execution (MES), warehouse management (WMS), material planning (MRP), equipment maintenance and HR all share one database.
AI-native ERP vs traditional ERP
What changes when AI is part of the design rather than an add-on.
| ianaiERP | Traditional ERP | |
|---|---|---|
| Who configures the system | AI, during an ~8-week rollout | Consultants, over months |
| Legacy data migration | AI maps, cleans and validates it | Separately quoted project |
| Manufacturing execution (MES) | Often a separate system | |
| Warehouse management (WMS) | Often a separate system | |
| Questions in plain English | Add-on, where available | |
| Customization | No-code configuration | Custom development |
"Traditional ERP" describes the typical legacy setup, not a specific vendor.
What AI does inside ianaiERP
AI-led implementation
AI configures the system, runs the rollout and migrates your data, so you can be live in about 8 weeks instead of a 12 to 18 month project.
Demand and lead-time forecasting
Forecasts read seasonality and supplier lead times to drive demand plans and purchase suggestions.
BOMs and production schedules
AI drafts bills of materials and optimizes production schedules against real capacity on the floor.
Answers in plain English
Ask why margin dropped or what runs out next week, and get an answer drawn from live production, inventory and finance data.
One database
MES, WMS, MRP, finance, HR and equipment maintenance share one database, so there is no middleware or nightly sync between systems.
AI Financial Officer
Investigate financial exceptions, forecast 13-week cash flow, build budgets with accountable owners and organize month-end close.
AI-native ERP by industry and comparison
AI-native ERP: frequently asked questions
An AI-native ERP is an ERP system designed around AI from the start. Instead of adding a chatbot to a legacy product, AI is part of implementation, data migration, planning and day-to-day questions. ianaiERP applies this to manufacturing and distribution, not only accounting.
Rillet and Campfire are AI-native ERPs built for finance and accounting teams, focused on the general ledger, revenue and the close. ianaiERP is an AI-native ERP for manufacturers and distributors, covering production, inventory, warehouse and planning alongside accounting.
ianaiERP typically goes live in about 8 weeks. AI handles configuration and data migration, and rollouts start with one production line or warehouse before expanding.
Yes. Manufacturers move to ianaiERP from NetSuite and QuickBooks, with migration tooling for both. See the NetSuite alternative page for a side-by-side comparison.
ianaiERP is ISO 27001 certified, and a SOC 2 report is available on request.
See an AI-native ERP on your own data
30 minutes with our team, using your products, BOMs and warehouses.