Capabilities Alerts & exception management

Capability · Alerts & exception management

An alert is not an action.Close the loop.

Detect variance early enough, qualify its impact, assign the right decision and track resolution through to proof.

A capability shaped by your flows, rules and field evidence.

Warehouse stockoutActive scenario01SignalA critical item is missing on three priority orders.02DecisionCompare replenishment, substitution and replanning.03ProofOrder, action and new risk updated.04Active systemWMS05Active systemOMS
01 / 03Protect a wave before cutoff
Transport delayActive scenario01SignalETA exceeds customer window with action margin remaining.02DecisionQualify cause, replan or inform according to contract.03ProofAction, customer and new ETA aligned.04Active systemTMS05Active systemOMS
02 / 03Act before the promise is missed
Production qualityActive scenario01SignalA control drifts on an ongoing batch.02DecisionBlock the exact scope, qualify lots and launch analysis.03ProofContained lots, decision and release traced.04Active systemMES05Active systemQualité
03 / 03Contain without blindly stopping
01 / 0302 / 0303 / 03
01

Less noise

Thresholds, duplicates and priorities are tuned to the expected decision.

02

Clear ownership

Each exception has an owner, due date and escalation.

03

Traceable action

Qualification, decision, execution and close remain linked.

04

Lasting prevention

Recurrences transform rules, processes or data.

Decision framework

Connect promise, responsibility and proof.

Value does not come from the number of alerts. It comes from distinguishing useful signal, acting within its window and learning from resolution.

Business logic

Decisions start with explicit rules.

Connected architecture

Clear responsibilities, from signal to proof.

SourcesProduce the signalBI / règlesQualifies and prioritisesWorkflowCarries decisionExécutionCarries reality

Gaps to eliminate

What weakens day-to-day decisions.

Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.

01

Threshold without context

The same value triggers everywhere regardless of customer or risk.

Too many alerts, little attention
02

Notification without owner

The message circulates but nobody owns the decision.

Action window lost
03

Action outside the system

Resolution happens by phone without structured feedback.

False status and no learning
04

Administrative close

The alert is closed without checking actual effect.

Hidden recurrence

Operational journey

A chain of decisions, not a stack of screens.

Each transition identifies the participant, responsible system and expected proof.

1

Detect

Compare with the right reference

Threshold, trend, promise or missing event triggers the signal.
Owner
Source system / BI
Proof
Timestamped contextualised signal
2

Qualify

Measure impact

Customer, service, cost, safety, quality and action window determine priority.
Owner
Business / rules engine
Proof
Criticality and likely cause
3

Decide

Select and assign

Action, owner, due date and escalation are explicit.
Owner
Operations
Proof
Acknowledged decision
4

Execute

Return actual status

The relevant system or participant confirms progress, block or outcome.
Owner
Execution system
Proof
Confirmed action
5

Learn

Address recurrence

Frequency, cause and effectiveness change rule, data or process.
Owner
Continuous improvement
Proof
Preventive action

Decision lab

Change context. Follow what genuinely needs to happen.

These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.

Warehouse stockout

Protect a wave before cutoff

Signal

A critical item is missing on three priority orders.

Decision

Compare replenishment, substitution and replanning.

Expected proof

Order, action and new risk updated.

B‑AGILEdecision flowSourcesBI / règlesWorkflowExécution

Responsibility architecture

Unify the flow without pretending one system does everything.

The responsibilities below form a reference architecture to adapt to the existing IT landscape.

01

Sources

Produce the signal
Owns
Event, measurement and raw context
Publishes
Detected variance
02

BI / règles

Qualifies and prioritises
Owns
Thresholds, aggregation, deduplication and criticality
Publishes
Actionable exception
03

Workflow

Carries decision
Owns
Owner, due date, escalation and history
Publishes
Assigned action
04

Exécution

Carries reality
Owns
Instruction, progress and outcome
Publishes
Confirmation and proof

Actionable cockpit

Prioritised exception queue

Priority combines impact, urgency, signal confidence, action window and actual resolution capacity.

  • Open ageSee closing action windows
  • Noise rateImprove rules, not notifications
  • Decision lead timeReduce operational uncertainty
  • RecurrenceGuide prevention
Operational view · example
Open age01Time since detection by criticality
Noise rate02Ignored, duplicate or no-action alerts
Decision lead time03Detection to acknowledged action
Recurrence04Repeated exceptions by cause and scope
Threshold without contextNotification without ownerAction outside the system
No value is a customer measurement. Illustrative functional example.

Success conditions

What must be true before automation.

01

Explicit scope

Activities, sites, participants, systems and boundaries are defined before any automation.

02

Named responsibilities

Each data item, rule, decision and exception has a business owner and responsible system.

03

Observable proof

An action is only treated as complete after verifiable feedback from the field or execution system.

04

Before / after measurement

A baseline, indicator, horizon and interpretation limits are agreed before the pilot.

Go further

Content to prepare a real discussion.

View all resources

Frequently asked questions

Decide with the right boundaries.

Must existing systems be replaced?

Not necessarily. Scoping distinguishes what should be retained, connected, extended or replaced based on value, risk and expected responsibility.

Can we start with a limited scope?

Yes. One flow, one site and a few critical decisions can test data, rules, interfaces and adoption before extension.

How is real time defined?

By the decision window. Each event must specify its source, frequency, acceptable age and degraded mode.

Are outcomes guaranteed?

No. Benefits are measured against an agreed baseline, scope and period; no generic percentage is promised.

How are exchanges secured?

Through suitable architecture, role-based rights, logging, retention rules and risk-proportionate monitoring.

Who approves business rules?

Named business owners, with IT and execution teams contributing; overrides remain traceable.

Your context first

Turn every critical variance into a controlled action.

Identify the decisions, data, responsibilities and pilot that will deliver observable value.

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