AI-native

What makes an AI-native ERP different

In most business software, AI was added later: a chat window next to the system, or a separate tool that works with exports. MintIQ, as an AI-native ERP, is built the other way around: the AI sits at the core. You set up the system with language, the agents work inside the system itself on live data, and everything they do is recorded.

app.mintiq.com
The difference

AI alongside, or AI at the core

AI alongside

A smart layer on top of the system

  • A chat window or separate tool next to the ERP
  • Works with exports, or with what an integration passes on
  • Gives advice, the acting stays with people
  • A new process remains a configuration project
An AI-native ERP, like MintIQ

The AI is part of the system

  • The assistant and the agents sit inside the system itself
  • They work on the same live data as your people
  • They act within the limits you set, and every action can be read back
  • You describe a new rule or process step in plain language
Onboarding an agent

The way you onboard a new colleague

An agent gets its own instructions, in plain language, and a list of actions it is allowed to take. Nothing more. It runs at a moment someone on your side switches on, for example when an email from a supplier comes in.

Everything an agent does can be read back, so you see which order it changed and why. If something is off, you adjust the instruction, just as you would correct a colleague.

Three examples

What the AI in MintIQ already does today

Delay processed

A supplier emails that a delivery will be late. MintIQ reads the email, updates the date on the purchase order and flags the affected sales orders for the person responsible.

From drawing to request

An incoming email with a drawing or PDF becomes a draft request, with the questions that are still open.

Questions in plain language

A question about items, stock or orders is answered from your own data, without anyone making an export.

Your own pages and dashboards

Your own start screen, made by asking for it

You create a page or report by saying what you want to see. That is possible because the AI in an AI-native ERP sits on the same data as your people. If you like it, you pin it to the start screen, and it stays up to date with the data in the system. Which pages someone sees depends on their role, so the warehouse manager starts the day with something different from the managing director.

MOperations home screen · Monday morningSample data
Asked:"Show me every morning what needs to go out today, how far along we are and which orders are tight."
To deliver today48orders
Picked31of 48 orders
Waiting for delivery6sales orders
Margin this week24,8%on invoiced orders

Orders delivered per day

0204060Mo: 38 ordersMonTu: 42 ordersTueWe: 35 ordersWedTh: 47 ordersThuFr: 51 ordersFriMo: 40 ordersMonTu: 44 ordersTueWe: 39 ordersWedTh: 53 ordersThuFr: 48 ordersFri48

Bottlenecks

  • VO-10482 · [Customer A]5 days laterSupplier emailed a new date, purchase order updated
  • VO-10477 · [Customer B]Stock shortage12 of 40 units in stock, order proposal ready
  • VO-10469 · [Customer C]Waiting for approvalPrice above agreement on one line
What the AI does not do

Inside the system, and open to review

Even in an AI-native ERP, the AI stays inside the system. It does no work outside MintIQ and does not call customers or suppliers. You decide what an agent is allowed to do, you switch it on, and every action can be reviewed.

Let's talk

Have a question, or want to know what MintIQ could mean for you? We are happy to help. Tell us briefly how your order flow works, and we will show you MintIQ with a process that looks like yours. And if we are not the best choice, we will say so.

Email us
hello@mintiq.com
Response time
Within a few hours, 24 at most
Visit us
Amsterdam (HQ) · Prins Hendrikkade 21-E
Utrecht · Stationsplein 32
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