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Solution Overview Introduction

Ai-Butler Biz

Daily profit and loss for small and mid-sized manufacturers | Ontology knowledge DB + LLM (RDF RAG)

AI that explains your profit and loss, every morning

Not just what changed? → but why, where and when it changed
Management decisions based on Daily P&L rather than a month-end roll-up

RDF Triples5M+
Instances3M+
IP5 patents filed

The limits of conventional ERP reporting vs Ai-Butler Biz

Legacy ERP (month-end, account-centric)

Late to tell you
• Focused on totting up results (late to tell you)
• Hard to trace causes (why / where / when)
• Reliant on tacit knowledge held by individuals
• Managed piecemeal, department by department

Ai-Butler Biz (Daily P&L, with explanations)

Cause-centric
• Detects daily P&L changes & explains the cause
• Traces them through events and cost drivers
• Turns knowledge into structure via an ontology
• Answers questions on the spot through a chatbot

5 Key Cost Drivers

Spec
Volume
Defect
Yield
Innovation
Features Features

How it works (Ontology RDF RAG + Daily P&L)

1

Shop-floor and business data

PLM·BOM·MES SCM·QMS·ERP

2

Event extraction

Change Event ID mapped to cost drivers

3

Ontology knowledge DB

RDF/OWL · SPARQL GraphDB

4

LLM dialogue and reasoning

Qwen·Llama3 RAG Q&A

5

Daily P&L

Explains the cause Suggests what to do

Cause-based decisions Why, where and when, explained at once
Minimal losses Early warning on defects, yield and volume
Knowledge made your own Tacit know-how turned into an ontology

Value for small and mid-sized manufacturers (End-Customer Benefits)

1
One-day cycle Problems found sooner
2
Standardized explanations Cost drivers connect the floor to head office
3
Knowledge that stays Kept even when staff change

Quick Matrix: what sets it apart

Item Typical ERP Ai-Butler Biz
Cycle Monthly / quarterly Daily
Viewpoint Accounts Events / drivers
Explanation Reports Explanation + dialogue
Knowledge Documents / people Ontology DB