Before01
Company profile
- Vast, complex MES data
- 5-10 min per lookup
- No IT support at night
AX Solution
LLM Assistant
The smartest work assistant — one that talks with your in-house data
OVERVIEW
Instead of turning questions into SQL,asking is enough to get an answer
Company data and documents move into a workplace where one line of plain language is enough to reach them.
KEY FEATURES
Four capabilities that make up the LLM assistant
From real-time data intelligence through the model hub and visualisation to the user-based agent.
Capability Index04
Assistant Capability
01 / 04
01
Real-time data intelligence
Unified AI model hub
Visualizing complex data
User-based AI agent
Without any complex query language such as SQL, internal databases and documents are analyzed instantly from a natural-language question, so business teams can derive real-time insights without a data specialist and dramatically improve decision-making speed.
Management Scope
- Natural-language query
- Instant insight
- Conversational interface
- Business intelligence
- Intelligent search/discovery
- Data precision
Natural-language question and answer
Ask about field data or documents in everyday language and the AI answers accurately, straight away
SYSTEM ARCHITECTURE
How it is built
Plain language is interpreted, the answer is found in company data and returned.
Learning vast enterprise data intelligently to support business decisions.
Customer service
Manufacturing/supply chain
Human resources (HR)
Sales/marketing
Banking/finance
Education
Customer service
Manufacturing/supply chain
Human resources (HR)
Sales/marketing
Banking/finance
Education
The AI answers from the data and the manuals, with evidence.
- Production and quality data
- Equipment state
- Manuals and work standards (SOP)
- Maintenance and fault history
- Questions from the floor
AI Agent
- Intent interpretation
- Search across data and documents
- Answer and action with its evidence
- Decision time
- Time spent searching
- First-response accuracy
- Data utilisation
EFFECT
Business impact
What it leaves behind — in decision time, search time, first-response accuracy and data usage.
BUSINESS OUTCOME
Questions and answers,turned into results
- TIME
Shorter decisions
Scattered indicators and history are gathered into one answer with its evidence, so a call that used to need a meeting is made on the spot.
Decision time · evidence · reporting steps
- FIND
Less time searching
Standards, manuals and past records are searched in plain language and answered with the passage itself, not the file it lives in.
Search time · coverage · precision
- STEP
More accurate first response
The standard procedure and what was done in the same situation before are offered together, so the first move holds up whoever is on shift.
First response · procedure · repeat queries
- DATA
Higher data usage
Documents and logs that were only stored now answer questions, widening the range of data the floor actually consults.
Coverage · queries · departments
CASE STUDY
Case study
Natural-language queries cut production lookups from an average of seven minutes to under thirty seconds.
Customer industry
Manufacturer running one MES across three sites
After02
What was built
- Chat AI wired to MES
- Questions become SQL
- Charts, tables, voice
Results
Build an LLM assistant that queries the MES in one plain sentence
Spend the time on the decision, not on the search.
We design how your documents and systems connect — and how far the security boundary goes.
Talk to us