Worked case · Controlled response · 12 figures

Compassionate incident intake

Build a compassionate incident intake

Figure 01 / 12

Determine the eligible population first

Determine the eligible population first — Compassionate incident intake. Count; records. Exact values are in the figure data below.
Count; records

Of 560 source records, 532 are within the stated synthetic scope and 28 are outside it. Eligibility here is an explicit teaching input, not a legal conclusion. Production classification must use the actual entity, product, activity, jurisdiction, and facts.

Figure data and text version
Scope stateRecords
Within stated scope532
Outside stated scope28

A customer reporting a scam may be distressed and uncertain about the sequence. Intake must preserve facts and act on time-sensitive recovery opportunities.

Capture the original statement, transfer identifiers, timing, and urgent actions without blaming the customer.

All amounts, rates, capacity limits, and outcomes in this case are synthetic. The three conditions are separate assumptions for comparison. A better result in the response condition is not measured proof that the proposed control causes that improvement. The figures expose the calculation and its limits; a real deployment needs its own evidence.

Read the result

The case identifies 532 eligible records from a source population of 560. The required workflow completes for 529, but 3 completed records miss the illustrative internal target. Another 3 remain incomplete. Communication evidence covers 528 generated notices. Scope, completion, timeliness, and delivery are four separate properties of the customer outcome.

Model inputs and calculated values

Inputs below are the case-specific values. Each figure states the condition-specific assumptions and units used in its calculation. Calculated values are rounded for display.

InputValue
population560
eligibility0.95
Calculated valueResult
population560
eligible532
excluded28
complete529
incomplete3
late3
ontime526
notices528
undelivered1
pending0
reviewed3
Figure 02 / 12

A control can miss eligible records

A control can miss eligible records — Compassionate incident intake. Count at a fixed observation cutoff. Exact values are in the figure data below.
Count at a fixed observation cutoff

The required workflow completes for 529 of the 532 eligible records. The 3 remainder needs an owned exception path. Reporting completion as a percentage of all source records would answer a different question and could hide the actual coverage gap.

Figure data and text version
MeasureRecords
Eligible records532
Workflow completed529
Workflow incomplete3
Figure 03 / 12

Completion and timeliness are distinct outcomes

Completion and timeliness are distinct outcomes — Compassionate incident intake. Count; exclusive states within eligible population. Exact values are in the figure data below.
Count; exclusive states within eligible population

The illustration applies an internal target, not a statutory deadline. Of 529 completed records, 3 miss that target and 526 meet it. The 3 open records are a third state; do not automatically classify them as timely merely because their final outcome is unknown.

Figure data and text version
OutcomeEligible records
Complete within target526
Complete after target3
Still incomplete3
Figure 04 / 12

An obligation record connects authority to behavior

An obligation record connects authority to behavior — Compassionate incident intake. Control contract. Exact values are in the figure data below.
Control contract

This case implements build a compassionate incident intake. The record separates scope, trigger, required action, ownership, and retained proof. Exact legal duties belong to the applicable source and interpretation; the timing and counts in this worked example are synthetic.

Figure data and text version
ElementIllustrative value
Control subjectCompassionate incident intake
ScopeThe eligible population defined above
TriggerThe customer must supply a perfect legal or fraud label before the case is accepted.
Required behaviorbuild a compassionate incident intake
Ownerscam-response team
EvidenceVersioned event, action, and communication records
Figure 05 / 12

Different clocks start from different facts

Different clocks start from different facts — Compassionate incident intake. Internal teaching timeline; not a legal deadline schedule. Exact values are in the figure data below.
Internal teaching timeline; not a legal deadline schedule

These relative times are illustrative service targets. They deliberately distinguish customer contact, receipt by the institution, classification, investigation, and communication. A routing delay must not silently replace the original receipt time when that fact matters.

Figure data and text version
EventIllustrative timeRecord
Customer reportT0Original channel and words
Institution receiptT0 + 5 minutesRetained receipt timestamp
ClassificationT0 + 20 minutesApplicable process and owner
Internal review targetT0 + 1 dayInternal target only
Outcome communicationAt decisionContent, destination, and delivery state
Figure 06 / 12

Evidence fields fail independently

Evidence fields fail independently — Compassionate incident intake. Count; overlapping field-level checks. Exact values are in the figure data below.
Count; overlapping field-level checks

Each row is one evidence requirement over the eligible population. The same record can fail several checks, so the absent counts across rows must not be added as though they were distinct customers. Completeness does not itself prove that a field is accurate.

Figure data and text version
Evidence fieldPresentAbsent
scope5311
trigger5302
action5293
notice5311
evidence5302
Figure 07 / 12

A generated notice is not a delivered notice

A generated notice is not a delivered notice — Compassionate incident intake. Count; generated equals delivered plus unresolved. Exact values are in the figure data below.
Count; generated equals delivered plus unresolved

529 completed records generate a modeled notice event. 528 have a delivered state and 1 do not. The system must distinguish generation, dispatch, delivery evidence, and any required follow-up under the actual process.

Figure data and text version
Communication stateNotices
Generated529
Delivered state recorded528
Delivery unresolved1
Figure 08 / 12

Authority differs by operation

Authority differs by operation — Compassionate incident intake. Illustrative permission matrix. Exact values are in the figure data below.
Illustrative permission matrix

The access matrix is a proposed teaching separation of duties. Read, propose, approve, and administer are distinct capabilities. The final policy must match the organization’s actual roles and obligations, with controlled emergency access and an audit trail.

Figure data and text version
RoleRead evidencePropose actionApprove release
scam-response teamScopedYesNo
Independent approverScopedNoYes
SupportLimitedRequest onlyNo
System administratorOperational logsNoNo
Figure 09 / 12

Exceptions need capacity and a closing state

Exceptions need capacity and a closing state — Compassionate incident intake. Records per observation window. Exact values are in the figure data below.
Records per observation window

The control has 3 incomplete records. The available exception capacity covers 3, leaving 0 pending. A pending state requires an owner and a next action; changing a status label without resolving the required behavior does not close the gap.

Figure data and text version
Queue itemRecordsMeaning
Exceptions opened3Eligible workflow incomplete
Capacity applied3Records handled in this window
Pending exceptions0Still require an owned response
Figure 10 / 12

A rate includes its denominator

A rate includes its denominator — Compassionate incident intake. Percent; named populations. Exact values are in the figure data below.
Percent; named populations

These rates deliberately use different populations. Overall throughput, eligible coverage, completed-record timeliness, and delivery evidence are not interchangeable. Each needs the same cohort, cutoff, and definition every time it is compared.

Figure data and text version
MetricNumeratorDenominatorPercent
Eligible coverage52953299.44
On-time among completed52652999.43
On-time among eligible52653298.87
Delivered among generated52852999.81
Figure 11 / 12

A change needs an evidence trail

A change needs an evidence trail — Compassionate incident intake. Control-change lifecycle. Exact values are in the figure data below.
Control-change lifecycle

The trigger is The customer must supply a perfect legal or fraud label before the case is accepted.. A controlled change connects the revised requirement or interpretation to implementation, replay, customer impact, and approval. The old version remains relevant to decisions already made under it.

Figure data and text version
StageRetained proof
InterpretScope, source, effective date, and owner
ImplementVersioned logic, data contract, and message template
VerifyBoundary cases and affected-population comparison
ReleaseApproval, start time, and rollback condition
CorrectAffected records and customer outcome where required
Figure 12 / 12

Correction follows the affected population

Correction follows the affected population — Compassionate incident intake. Illustrative correction responsibilities. Exact values are in the figure data below.
Illustrative correction responsibilities

A remediation map links the defect to affected records, financial consequences, communication, and closure evidence. It should retain exclusions and unresolved cases. A change that prevents future failures does not by itself correct earlier customer outcomes.

Figure data and text version
FromToRelationship
Compassionate incident intakeAffected populationReproducible query
Affected populationFinancial reviewAmount and balance impact
Affected populationCustomer messageRequired communication
Financial reviewClosure evidenceVerified adjustment
Customer messageClosure evidenceDelivery and follow-up

Connect the result to the system

Capture the original statement, transfer identifiers, timing, and urgent actions without blaming the customer.

Check the population, evidence, permitted action, and actual effect together. A balanced calculation can still use the wrong population; a successful response can still leave an unknown financial outcome. The case’s numerical result applies only to its stated assumptions.

Sources and further reading

The chapter sources support the concepts and scope. They do not prescribe the synthetic model rates.

  1. Nacha: 2026 fraud monitoring, Phase 2
  2. FinCEN: deepfake fraud alert