AI Assistant

AI Operations Assistant for Food & Beverage

Ask questions about equipment status, temperature compliance, and maintenance schedules across your production facility. Get answers grounded in your actual sensor data.

The Problem

Where Things Break Down

Temperature compliance questions require BMS log pulls

When a quality manager asks 'did the cold storage stay within range overnight?' someone has to pull BMS logs, find the right sensor, and check the time range. This happens multiple times per day.

Batch and equipment correlation is manual

If a batch fails quality checks, tracing it back to equipment conditions during production means cross-referencing timestamps across the BMS, SCADA, and production schedule.

CIP and sanitation status is not easily queryable

Knowing which lines have completed their CIP cycles and which have equipment issues requires checking equipment status and maintenance schedules across multiple interfaces.

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.

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.