AURORA is an executive intelligence assistant grounded in governed PISE data. Ask a business question and it assembles the relevant analysis, explains the signal and keeps every conclusion connected to evidence.
Governed metricsAdaptive analysisEvidence by design
AURORA COPILOT BY PISEProcess intelligence grounded in governed PISE data
Live analysis
Ask AURORAWhich customers create the greatest late-payment exposure?
Connecting governed metrics, customer context and process evidence…
Executive brief
Eight customer records account for 453.3K EUR of selected exposure.
Six records represent 75% of exposure and show a recurring late-payment signal. Prioritize these accounts first.
Top customersLate payment amount
01Ford Otosan62.4K
02Stellantis58.4K
03Chemical Distributor57.8K
04Dacia Renault56.5K
05Continental Auto55.0K
06Dacia Renault54.7K
07Service Partner54.4K
08Volkswagen Group53.9K
✦ Generated for this questionView evidence · 8 customers ↗
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A conversation that keeps its context
Ask once. Keep going.
Every follow-up retains the governed population, shifts the analytical lens and gives the team a view that is ready to discuss.
AURORA COPILOT BY PISEExecutive intelligence grounded in governed data
Where is working capital exposure highest?
✦ AURORA4.2s PISE
The 10 customer records that require the closest review are Continental Automotive Customer 21731, Mercedes-Benz Customer 18931, Dacia Renault Customer 19868, Volkswagen Group Customer 27361, BMW Group Customer 19174, Chemical Distributor Customer 23659, Continental Automotive Customer 22017, Stellantis Customer 24764, Mercedes-Benz Customer 23188, Continental Automotive Customer 26945.
What the evidence shows
The displayed cohort represents 88K EUR; Continental Automotive Customer 21731 ranks first at 10K EUR. The governed order follows Working Capital Impact in the requested direction. A separate governed recurrence ratio is not available for this selection.
Why it matters
The portfolio total and the displayed cohort answer different parts of the decision; this view prioritizes the requested records.
Recommended next move
Validate the invoices, disputes, and payment terms for this exact cohort, then assign an owner and account treatment.
Executive financial impact. The governed Working Capital Impact is 40.0M EUR. The estimated Cost of Capital — the economic cost of delayed cash — is 3.2M EUR.
Continue the analysis
Where is working capital exposure highest?
✦ Generated from governed Semantic Data
Priority Customers by governed criteria
✦ Executive reading
88K EUR across 10 records. The governed order follows Working Capital Impact in the requested direction. Working Capital Impact: 40.0M EUR. Estimated Cost of Capital: 3.2M EUR.
Which customers combine high working-capital impact with repeated lateness?
✦ AURORA11.8s PISE
The 10 customer records that require the closest review are Continental Automotive Customer 21731, Mercedes-Benz Customer 18931, Dacia Renault Customer 19868, Volkswagen Group Customer 27361, BMW Group Customer 19174, Chemical Distributor Customer 23659, Continental Automotive Customer 22017, Stellantis Customer 24764, Mercedes-Benz Customer 23188, Continental Automotive Customer 26945.
What the evidence shows
The displayed cohort represents 88K EUR; Continental Automotive Customer 21731 ranks first at 10K EUR. The governed order prioritizes Late Payment Amount and uses Late Payment Ratio as the secondary recurrence signal.
Why it matters
This follow-up keeps the active population and adds recurrence, helping the team focus on customers whose cash impact is paired with repeated lateness.
Recommended next move
Validate the invoices, disputes, and payment terms for this exact cohort, then assign an owner and account treatment.
Executive financial impact. The governed Working Capital Impact is 40.0M EUR. The estimated Cost of Capital is 3.2M EUR.
Continue the analysis
Which customers combine high working-capital impact with repeated lateness?
✦ Generated from governed Semantic Data
Priority Customers by governed criteria
✦ Executive reading
88K EUR across 10 records. The governed order prioritizes Late Payment Amount and uses Late Payment Ratio as the secondary recurrence signal. Working Capital Impact: 40.0M EUR. Estimated Cost of Capital: 3.2M EUR.
AURORA chooses the analysis format that best fits the decision: an executive KPI view, a customer ranking, a time trend, a portfolio mix or the Process Explorer.
01Ask
Start in business language.
Ask about performance, exposure, customers, companies, root causes or process execution without navigating a catalogue of reports.
02Compose
Let the canvas adapt.
AURORA selects governed metrics and descriptive dimensions, then creates a focused visual story for the question.
03Prove
Inspect the source evidence.
Open the originating dashboard in a new tab with the relevant customers, companies or cases already filtered.
Built around the decision maker
From executive signal to operational truth.
The answer changes with the question, while the governed definitions remain stable.
CFO / Finance Director
Where is cash exposed?
See material working-capital signals, concentration, trend and the customers behind the number.
Move from the bottleneck to the affected flow, variants and cases without losing business context.
Process flow · burden · root causeBusiness Director
What deserves attention now?
Receive a concise executive brief, the visual explanation and a practical next action.
Headline · implication · management action
AURORAExecutive intelligence
01Business FeedCertified KPIs and dimensions02Process FeedEvents, flows and variants03EvidenceSource dashboards and filters
Governed by design
Helpful answers. Traceable foundations.
AURORA does not replace the semantic model or invent a parallel truth. It uses the governed definitions already published in PISE and makes them easier to understand and act upon.
Certified business definitions and units
Dimensions selected from available governed fields
Follow-up questions preserve the active population
Evidence links carry the relevant filters
AURORA COPILOT BY PISE
Bring the next business question.
We will connect it to the process, the financial impact and the evidence behind the answer.
