IFS Cloud chatbot
An IFS Cloud chatbot that reads and writes real records
Most things called an ERP chatbot answer questions and stop. NgageChat queries your live IFS Cloud data and then does the thing — raises the fault report, updates the date, releases the order — under your own IFS login.
Which purchase orders from Acme are still awaiting delivery?
Six open POs with Acme Industrial. Three are past their promised date.
| PO | Part | Qty | Promised |
|---|---|---|---|
| 88421 | 74821 | 40 | 28 Jul |
| 88512 | 61190 | 200 | 31 Jul |
| 88604 | 74821 | 40 | 12 Aug |
Push 88421 to 15 September
Confirm update
- PO
- 88421
- Field
- PromisedDeliveryDate
- From
- 2026-07-28
- To
- 2026-09-15
PO 88421 updated
ETag checked before writing. Change recorded against your IFS user.
What is an IFS Cloud chatbot?
An IFS Cloud chatbot is a chat interface that reads and writes real IFS records instead of only answering documentation questions. NgageChat connects to IFS Cloud through standard projections and OData REST, executes as the signed-in user, confirms every write on screen before it commits, and records the whole exchange for audit.
Last reviewed 3 August 2026 · NgageChat by EX10
Three different things get called a chatbot
Which kind do you actually need?
The word covers everything from a help panel to a scripted intent tree to a transactional interface. They are not substitutes for each other.
| Capability | Documentation assistant | Scripted intent bot | NgageChat |
|---|---|---|---|
| Explains how IFS works | Yes | No | Yes |
| Answers from your live records | No | Within scripted flows | Yes — any projection you can access |
| Handles a phrasing nobody anticipated | Yes | No | Yes |
| Creates and updates records | No | Within scripted flows | Yes, after you confirm |
| Runs IFS actions (release, approve) | No | Rarely | Yes, within your permissions |
| Coverage grows without new dialogue design | — | No | Yes — it discovers the API at run time |
Scroll the table sideways to see every column.
Verified against vendor documentation on 3 August 2026. IFS ships two release updates a year, so treat any comparison as dated. Full detail in Does IFS Cloud have a chatbot?
Why this one works
It discovers your IFS instead of assuming it
27 native IFS tools resolve the right projection, learn what each endpoint expects, and execute against your OData REST API — which is why the writes land.
The real data model, plus your fields
Required fields, enums and list-of-values come from a curated index of IFS Cloud rather than guesswork, and your custom fields are read live from your environment.
Your identity, your permissions
Each person signs in through IFS. The chatbot cannot exceed what that person could do in Aurena, because IFS enforces it.
Nothing writes unseen
The complete payload is shown before anything commits, and you can amend a value in the conversation.
Everything recorded
Prompt, tool calls, parameters, results, model, timings and errors — enough to reconstruct what happened.
By area
What you can ask an IFS chatbot to do
FAQ
IFS Cloud chatbot questions
What is an IFS Cloud chatbot?
Does IFS Cloud have a built-in chatbot?
Can an IFS chatbot create records, or only answer questions?
What happened to IFS Aurena Bot?
Do we need to install anything into IFS?
Is a chatbot secure enough for a production ERP?
Early access
See NgageChat answer a question from your own IFS environment
A 30-minute session: bring one real scenario — an overdue work order list, a fault report, a supplier lookup — and watch it run end to end. No slideware.