What Is AI Copilot (ERP Copilot)?
Also known as: ERP copilot, embedded AI assistant, AI assistant for ERP
Definition
An ERP AI copilot is a conversational assistant built into or alongside an ERP that answers questions in plain language, summarises records and drafts actions for a user to approve. It assists the user and does not run the business on its own.
AI Copilot (ERP Copilot) Explained
ERP vendors now ship their own assistants. Examples include Microsoft Copilot features in Dynamics 365 and Business Central, Oracle's AI features in Fusion and NetSuite, SAP's Joule, and Infor's generative AI offerings. They sit inside the vendor's UI, know the vendor's data model and respect the vendor's security, which makes them the natural first step.
A copilot typically does four things: answers questions over ERP data, summarises records such as a long order history, drafts content like emails or descriptions, and proposes actions that the user confirms. It is bounded by the vendor's feature set and cloud model hosting, and by your licence tier.
Gaps appear in real plants. Heavily customised on-prem systems often fall outside the vendor assistant's scope. Questions that span ERP, MES, quality documents and shared drives need a layer across systems. Regulated sites may be unable to send data to a vendor-hosted model, and some workflows need agents tailored to company-specific rules.
A practical approach is to use the vendor copilot for generic tasks inside its UI and add a custom, on-prem layer for cross-system questions and company-specific agents. Check licensing, data residency and what the assistant can actually read before assuming coverage.
Why It Matters
- The vendor copilot is often the lowest-effort starting point, with no integration project.
- Scope limits matter: customised fields, on-prem versions and external systems are often out of reach.
- Data residency and model hosting decide whether regulated sites can use it at all.
- A clear boundary between vendor copilot and custom layer avoids paying for the same capability twice.
In Practice
A controller uses the ERP vendor's copilot to summarise open payables and draft a supplier email, and it works well because the data lives in the standard modules. The same company's planner needs shortages combined with MES scrap data and a quality procedure PDF. That crosses three systems, so a custom on-prem layer answers it, while the vendor copilot stays in use for finance tasks.
Frequently Asked Questions
Is a vendor copilot enough for my ERP?
For standard tasks inside the vendor's own UI, often yes. For customised, on-prem or multi-system questions, a custom layer is usually needed.
Can a copilot change ERP data?
Most draft changes for the user to confirm. Check what each feature can write and whether it uses the user's own permissions.
Does the vendor copilot send my data to the cloud?
Usually the vendor's cloud hosts the model. Review the vendor's data handling terms, particularly for export-controlled or defense data.
Can I add AI to an older on-prem ERP?
Yes. A layer outside the ERP can read through its APIs or database and answer questions with a locally hosted model, without upgrading the ERP.
Related Terms
AI Agent
An AI agent is a system that wraps a language model with tools, memory, and a goal so it can plan a sequence of steps, call external systems, observe the results, and iterate until the objective is met or a limit is reached.
RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) is an architecture that searches your own document store for passages relevant to a question, inserts them into the LLM prompt, and instructs the model to answer only from that retrieved evidence.
Text-to-SQL
Text-to-SQL is the technique of using a large language model to translate a plain-English question into a SQL query, run it against a database, and return the result. On ERP data it needs schema context, read-only access and query validation to be trustworthy.
On-Prem AI
On-prem AI is the practice of running artificial intelligence models on hardware you own and control, inside your own data center or plant, so prompts, documents, and model weights never leave your network.
Human-in-the-Loop (HITL)
Human-in-the-loop (HITL) is a design where an AI system proposes an action, such as creating a purchase order, and a person reviews and approves it before it executes. It keeps accountability with people while automating the preparation work.
Working with AI Copilot (ERP Copilot) in a live environment? Our engineers do this every day - and our AI agents automate most of it.