Workflow
A sequence of activities: it acquires data, checks it, performs operations and preserves the result.
Example: every morning it reads weather data and prepares an updated card.
Three ideas in plain language
What the system does, without jargon.
Automation and RPA
Software repeats calculations or digital activities — downloading files, comparing values, updating registers — without manual repetition.
Forecasting and classification
A model may estimate a value or probability, or assign a case to a category. The result supports judgement but does not decide on its own.
A complete example
From source to result, step by step.
- 1 · CollectionThe system acquires values from public sources.
- 2 · ChecksIt verifies freshness, format, missing values and obvious anomalies.
- 3 · CalculationIt combines data and calculates changes or indicators.
- 4 · Model, where usefulIt produces an estimate or classification without presenting it as certainty.
- 5 · Final gateIf data are insufficient, the workflow stops or requests review.
- 6 · Output and traceIt prepares a chart, map or report and preserves sources, date, version and errors.
Examples developed in the laboratory
New industrial, chemical and energy workflows.
The homepage highlights the new industrial and chemical family. The full portfolio also documents the other workflows, with sources, controls, results and limitations.
WF-11 · Chemistry · hydrogen · energy
Hydrogen Route Observatory
Compares grey SMR, SMR+CCS and electrolysis using public/configured energy prices, chemical balances, emissions boundaries and break-even thresholds.
WF-12 · Chemistry · fertilizers · commodities
Ammonia & Fertilizer Chain
Propagates gas cost through the NH₃→urea chain while separating the physical calculation, nowcast and falsifiable M+1 forecast.
WF-13 · Energy · renewables · forecasting
Italy Variable Renewable Forecast
Forecasts the Europe/Rome D+1 civil day for solar, wind and total VRE, normalising by capacity and archiving point-in-time vintages.
WF-14 · Industry · process monitoring · anomaly detection
Process Sentinel
Detects anomalies and faults on a generic dynamic chemical process with isolated truth, a frozen 28-day synthetic benchmark and a drift-aware PCA + process-residual ensemble.
WF-15 · Industry · quality · soft sensor
Virtual Analyzer
Estimates product quality between laboratory assays with delay, noise, point-in-time controls, OOD detection and measurable abstention.
WF-16 · Industry · utilities · optimization
Energy & Steam Optimizer
Optimizes a synthetic HP/MP/LP steam network using real/configured gas, power and carbon prices against a frozen reference dispatch policy.
Guided path
Choose how far to explore.
Start with essential terms and continue, when useful, towards method, architecture and validation.
Why verifiable
The result is not presented on its own.
Repeatable
Activities are defined and can be executed through the same sequence.
Inspectable
Sources, checks, version and limitations remain visible.
Prudent
Insufficient data, uncertainty and known failure conditions are not hidden.
Describe a non-confidential question
State the expected result and context of use without sending personal data, credentials, internal documents or confidential information.