Enterprise Data & Decision Intelligence Platform
A large organisation running many systems across departments — finance, operations, HR, several business units — where basic metric reporting already exists in some form, but nobody is notified when a number moves outside its normal range, and a decision made in response to data has no recorded link back to the data that prompted it.
The reality
A large organisation runs many systems across departments — finance, operations, HR, several business units. Basic metric reporting already exists in some form, but nobody is notified when a number moves outside its normal range, and a decision made in response to data has no recorded link back to the data that prompted it.
Where it breaks
- A metric moves outside its normal range, and nobody notices until it's raised in a meeting days later.
- A decision gets made in response to a number, but nothing records what triggered it or why.
- Metric definitions are governed in one department and reinvented in the next.
- An alert, where one exists at all, gets sent and nobody can say whether anyone acted on it.
The Afivox approach
Afivox doesn't sell predictive modelling this organisation's data can't actually support. It extends the same discipline as the metric foundation — one definition, one owner, one version — into signal detection and decision logging, so a number that moves gets noticed and a decision made about it gets remembered.
The system
Users
Metric owners across departments, executives, decision-makers
Application
Source consolidation, signal detection, alert center
Services
Decision log, KPI governance, trend analysis
Data
MetricDefinition → MetricVersion → Owner, Alert → Threshold → Signal, Decision → Alert
Integrations
Extends an existing metric foundation across every department's source systems
Security
Versioned metric definitions, traceable alerts, permanent decision records
What it looks like
Concept mockups — illustrative interfaces, not a built system.
Executive dashboard
42
Metrics tracked
3
Open alerts
6
Departments governed
14
Decisions logged (30d)
1
Unresolved alerts
Current
Data freshness
Alert center
| Metric | Department | Signal | Status |
|---|---|---|---|
| Gross margin | Finance | Below threshold — 3 days | |
| Staff turnover | HR | Trending up | |
| Order fulfilment | Operations | Recovered |
Decision log
KPI governance
| Metric | Owner | Version | Status |
|---|---|---|---|
| Gross margin | Finance | v4 | |
| Staff turnover | HR | v2 | |
| Order fulfilment rate | Operations | v3 |
Trend analysis
Gross margin
Metric
2 of 6 declining
Cross-dept comparison
How it flows
Secure by design
- An alert is generated by a defined threshold or trend rule, never an undocumented model — every alert traces to the rule that fired it.
- A decision logged against an alert is permanent once recorded; a changed decision is a new entry, not an edit to the old one.
- Metric definitions are versioned — changing one creates a new version, history is never silently restated.
- An alert with no logged decision after a defined window is itself surfaced as unresolved.
Designed to improve
- Faster response — a metric moving outside its range generates an alert the moment it happens.
- Decision traceability — a decision made in response to an alert has a recorded reason.
- Consistent governance — metric definitions are governed the same way across every department.
- No silent drops — an alert with no response stays visible until it's addressed.
Before
- A number moves outside its normal range, and nobody notices until someone raises it in a meeting.
- A decision gets made in response to data, with nothing recording what triggered it.
- Each department defines its own version of the same metric.
- An alert is sent into the void, with no way to know if anyone acted on it.
After
- A metric moving outside its range generates an alert immediately.
- A decision made in response to an alert has a recorded reason, traceable afterward.
- Every department governs its metrics the same way.
- An unanswered alert stays visible until someone addresses it.
Your operation probably has a workflow like this.
One session. We look at what's breaking, and what we'd build around it — whether or not you hire us afterward.
Tell us where yours breaks