ERP AI KNOWLEDGE ASSISTANT

Business knowledge.
Inside your ERP.

An ERP-integrated assistant that makes onboarding, process guidance and organisational knowledge accessible within the user’s everyday workflow.

Customer production deployment · Anonymised case study

The challenge

People need reliable access to organisational knowledge while working in the ERP. Switching between applications and searching separate documents adds friction to onboarding and day-to-day process guidance.

HOW THE WORKFLOW CONNECTS

From request to useful response.

START INSIDE THE ERPERP user / conversation

A question in the context of everyday work

COORDINATION

ERP AI Knowledge Assistant

Conversation context · Knowledge retrieval · ERP integration

01

Conversation context

Multi-turn conversations and multimodal input

02

Knowledge retrieval

File search and vector stores for relevant organisational information

03

OpenAI processing

Responses API processing informed by the retrieved context

04

Validation & citations

Response validation and citation handling before delivery

BACK TO THE USERContextual answers inside the ERP

Support for onboarding, process guidance and organisational knowledge.

Simplified architecture illustrating how the ERP conversation connects to knowledge retrieval, AI processing and response handling.

FROM QUESTION TO GUIDANCE

Bring the knowledge closer to the work.

01

Ask within the existing workflow

The user starts a conversation inside the ERP. Instead of moving to a separate application, they can ask for onboarding help, process guidance or information from organisational knowledge.

02

Connect the question to relevant knowledge

Conversation context and knowledge retrieval work together to inform the response. File search and vector stores help locate relevant material rather than relying only on a model’s general knowledge.

03

Process the request with OpenAI

The integration uses the OpenAI Responses API as part of the assistant workflow. Multi-turn context supports follow-up questions, while the implementation also includes multimodal input capabilities.

04

Return a response with supporting context

Response validation and citation handling sit between AI processing and the ERP response. Citations help users understand the information behind an answer; they do not replace checking important decisions against the original source.

IMPLEMENTATION

What we built.

01

An assistant in the ERP

Bring a conversational interface into the existing ERP workflow, with support for multi-turn context.

02

Retrieval from knowledge

Use file search and vector stores to retrieve relevant information for the user’s question.

03

Responses with context

Connect OpenAI processing to response validation and citation handling before returning an answer in the ERP.

What this demonstrates

A delivered customer integration connecting ERP, knowledge retrieval and AI processing. The workflow illustrates how existing business software can provide AI assistance without requiring users to move to a separate application.

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APPLYING THIS TO YOUR BUSINESS

Your knowledge.
Your ERP workflow.

Start with the questions your team needs answered most often.

For a similar implementation, we would map the intended users, knowledge sources and ERP touchpoints first. Onboarding instructions, process documentation and internal guidance are practical areas to explore.

The project scope should define who may access which information, how knowledge is maintained, and how response quality will be evaluated. Those decisions shape the integration and rollout for your business.

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Put AI into a workflow
that matters.

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