What changed, when, how unusual, and what is affected?
Intelligence / From detection to learning
See the change.
Understand the consequence.
Operational intelligence is not a single model or answer. It is a connected discipline: detect material change, explain the drivers, estimate what follows, compare decisions, plan within constraints and verify the result.
Investigate in Live DemoOne word.
Seven different jobs.
“Intelligence” is often used as if every operational question were the same. It is not. Detecting a change is different from explaining it. Explaining a change is different from forecasting its consequences. Forecasting is different from selecting a response. And none of these proves that the response worked.
PrometheonaIQ separates these jobs so each output can be evaluated on its own terms. Detection uses baselines and deviations. Causal analysis examines relationships and alternative drivers. Prediction exposes horizon and uncertainty. Simulation declares assumptions. Planning respects constraints. Verification requires evidence. Memory retains the full chain.
Which connected conditions most plausibly produced the change?
What may happen next, over what horizon, with what confidence?
Which action performs best across cost, risk and service trade-offs?
What actually happened, and how should it change future reasoning?
An anomaly says look here. A cause says understand this. A prediction says prepare for this. A verified outcome says learn from this.
PrometheonaCause
Don’t just see what changed.
Understand why.
Causal intelligence connects the outcome to affected entities, intermediate drivers and candidate root causes. It preserves supporting and contradicting evidence instead of reducing the investigation to one unexplained score.
Temporal orderingConnected entitiesCompeting causesIntervention historyEvidence strength
EXPLANATION
Revenue declined 8.4% against the rolling baseline.
Confidence 87%6 evidence links
What a causal answer must include.
A precise change.
Define the metric, entity, geography, time window and baseline. “Performance fell” is not a usable outcome definition.
Intermediate mechanisms.
Show how upstream conditions propagate through inventory, capacity, service, customer or asset relationships.
Support and contradiction.
Expose data sources, time order, historical comparisons and evidence that weakens alternative explanations.
Controllable factors.
Separate conditions that explain the past from levers that can change the future.
PrometheonaPredict
A forecast without context
is not a decision.
Every prediction should make uncertainty usable: what may occur, when, how confident the system is, which drivers matter and what action deserves consideration.
| Prediction | Time horizon | Key drivers | Decision supported |
|---|---|---|---|
| Asset service interruption | 12–18 days | Thermal load, vibration, delayed maintenance | Inspect, derate or schedule maintenance |
| SLA breach exposure | 72 hours | Backlog, workforce capacity, travel time | Rebalance work or adjust priority |
| Inventory shortfall | 11 days | Demand variance, supplier delay, consumption rate | Transfer, expedite or substitute |
| Demand change | 4–8 weeks | Region, channel, pricing, seasonality | Capacity and purchasing plan |
All examples are illustrative operational data. Forecasts are estimates and should be evaluated against organizational controls.
PrometheonaSim
Move from “what happens?”
to “what if?”
Simulation makes assumptions explicit. Adjust demand, capacity, workforce, budget, inventory or policy and compare the estimated consequences across service, cost and risk.
Open the simulator ↗SCENARIO COMPARISONIllustrative
Capacity constrained
23 assets at risk, 37 projected SLA breaches, 92% workforce utilization.
Inspection capacity +12%
Reassign two specialists, protect urgent workload and expedite one spare kit.
SLA exposure moves from high to moderate.
Backlog decreases while cost increases modestly. Confidence: 84%. The result depends on demand remaining within the stated range.
PrometheonaPlan
A recommendation says what.
A plan says how.
Objectives
Define service, safety, reliability, cost or revenue outcomes and the relative priority of each.
Resources
Represent people, skills, assets, inventory, vehicles, budget and available time.
Constraints
Respect location, qualification, maintenance windows, SLA, dependencies, risk thresholds and approvals.
Sequence
Generate assignments, order, timing and contingencies that can be explained to operating teams.
Approval
Route the plan to the right human authority based on operational consequence.
PrometheonaVerify
“Completed” is a status.
Verified is evidence.
Completed
- A user changed the state
- A required step may be missing
- The asset may not be confirmed
- Evidence may be incomplete
Requires review
- Location or timestamp conflict
- Image quality insufficient
- Serial number mismatch
- Checklist exception present
Trusted completion
- Asset, location and time match
- Required evidence is present
- Process steps are satisfied
- Outcome enters memory
PrometheonaMemory
The memory of the operation.
Operational memory is more than a document archive. It connects the situation, interpretation, choice, action and observed result so the organization can ask: Have we seen this before? What did we do? What happened afterward?
Incident
The signal, affected entities and operating conditions.
Investigation
The evidence, competing explanations and selected cause.
Decision
The alternatives, assumptions, approval and intended outcome.
Result
The verified action, measured effect and residual risk.
Intelligence questions.
Is causal intelligence the same as correlation?
No. Correlation can identify co-movement. Causal investigation additionally examines time order, mechanisms, connected context, alternative drivers and intervention evidence.
Does PrometheonaIQ guarantee forecasts?
No. Forecasts should always show uncertainty, confidence, horizon and evidence. They support decisions; they do not guarantee outcomes.
Can the system explain agent recommendations?
The intended model preserves the source signals, operational context, reasoning outputs, assumptions and approval trail behind significant recommendations.
What makes organizational memory useful?
It connects historical situations to decisions and verified outcomes, allowing relevant precedent to inform the next investigation.
Investigate an illustrative risk
Follow the evidence from signal to verified outcome.
The live demo lets you ask a question, inspect a causal chain, simulate a response and advance the decision workflow.