AI Assistant

Ask Your Factory a Question, Get an Answer in Seconds

Type a question about your facility and get answers grounded in real sensor data. Sandhed's AI assistant queries your equipment metrics, alerts, and maintenance records to give you plain-language answers instead of dashboards to decipher.

The Problem

Where Things Break Down

Your facility generates thousands of data points every hour, but turning that data into answers still requires opening multiple dashboards, cross-referencing timestamps, and knowing which system holds the information you need. When a shift supervisor asks 'which machines ran hot last night?' the answer takes 15 minutes of manual data pulls instead of 15 seconds. The data exists. The problem is getting to it fast enough to act on it.

Getting answers from your data takes too long

A simple question like 'which machines had the most downtime last shift?' requires opening a SCADA system, exporting data, filtering by time range, and manually comparing values. By the time you have the answer, the shift has moved on.
15-30 minutes per data query for shift-level questions

Alerts pile up without context

You receive dozens of alerts per day but each one requires separate investigation. Was this threshold breach a one-time spike or part of a trend? Is the affected machine near other equipment that is also showing problems? Answering these questions means switching between systems.
60% of alert investigation time spent gathering context

Institutional knowledge leaves with experienced operators

Your senior operators know which machines tend to fail together, which sensors to check first, and which readings are normal for each shift. When they retire or change roles, that knowledge disappears. New staff face a wall of dashboards with no guide.
6-12 months for new operators to reach full situational awareness

Our Approach

What Sandhed Does Differently

Sandhed's AI Co-Pilot is available in your 3D floor plan view and on individual asset detail pages. When you ask 'which machines had warnings this week?' the AI queries your sensor data, alert history, and maintenance records, then returns a structured answer with specific machine names, metric values, and timestamps. It builds a profile of your facility and only uses tools relevant to your active integrations. Answers link directly to the machines and data they reference so you can verify anything with one click.

Natural Language Queries

Ask questions in plain language: 'Which machines ran hot last shift?' 'Are any work orders overdue?' 'What happened on Line 3 yesterday?' The AI translates your question into the right data queries.

Grounded in Real Data

Every answer comes with specific machine names, metric values, and timestamps pulled from your actual sensor data and maintenance records. No generic advice. No guessing.

Context-Aware Answers

The AI knows your floor plan layout, which equipment you have, what sensors are connected, and what integrations are active. It tailors answers to your specific facility instead of giving generic responses. It works from the main floor plan view and from individual asset detail pages, adjusting its scope to whatever you are looking at.

Direct Links to Data

Answers include clickable links that navigate to the referenced machines, pull up the relevant metric history, or jump to the specific alert. Verify any answer with one click.

Quick Assessment

How Exposed Is Your Facility?

Operations Data Accessibility Assessment

Answer 3 questions for a quick personalized score and recommendation.

How long does it take to answer a data question about your facility (e.g., 'which machines had the most downtime last shift')?
How many separate systems does your team check to investigate an alert?
How dependent is your team on specific individuals for operational knowledge?
Expected Outcomes

Results You Can Measure

15 secAverage answer timeFrom question to data-grounded answer
21Data tools availableRead-only queries across metrics, alerts, and maintenance
80%Less time finding dataReduction in time spent navigating between dashboards
5Max query depthIterative data lookups per question for thorough answers
Based on platform capabilities and industry benchmarks. Results vary by facility.
FAQ

Common Questions

Anything about your facility's operations that is backed by sensor data, alerts, or maintenance records. Examples: 'Which machines had warnings this week?' 'What is the temperature trend on Oven-03 over the last 24 hours?' 'Are any preventive maintenance schedules overdue?' 'How many alerts did we have yesterday by severity?' The AI queries your actual data sources and returns specific answers.

When you ask a question, the AI builds a profile of your venue: facility type, asset inventory, active integrations, and which data sources are configured. It only uses tools relevant to your setup. If you have warehouse management connected, it can query inventory and movements. If you do not, those tools are excluded automatically. On asset detail pages, it scopes its queries to the specific machine you are looking at.

No. The AI has read-only access to your data. It can query metrics, alerts, events, work orders, and maintenance schedules, but it cannot change settings, acknowledge alerts, or modify equipment. It is a data lookup tool, not a control system.

The AI has 21 tools that query your PostgreSQL and TimescaleDB databases. These cover asset search, real-time and historical metrics, alert history, event logs, work orders, preventive maintenance schedules, service cost summaries, and, if configured, warehouse inventory and door sensor events.

Yes. The AI responds in the language you use. If you ask a question in Danish, you get an answer in Danish with the same terminology used in the platform's Danish interface. The system prompt includes a translation glossary so the AI uses consistent terms.

See the AI Assistant With Your Data

We will connect the AI to your facility data during the demo. Ask it your real questions and see how it responds with your actual equipment and sensor data.