Payment Failure and Fraud Journey Analysis
A payment control must stop suspicious activity without preventing legitimate customers from completing a transaction. Stronger authentication or a lower risk threshold can reduce one fraud route and still create false declines, repeat attempts and service contacts. Attackers may also move to another channel after the control changes.
Marketways reconstructs the complete payment journey from initiation through authentication, authorisation, settlement, dispute and investigation. We separate failure mechanisms, measure displacement and calibrate review against fraud loss, customer completion and specialist capacity.
Define the payment decision and permitted response
A payment system may approve, decline, request authentication, pause for review or apply a limited control. These actions create different consequences and require different evidence.
Marketways defines the decision, timing and authority before assessing a model or rule. We identify which cases can proceed automatically, which require customer verification and which need qualified investigation.
This framing prevents a risk score from becoming an unsupported allegation or account restriction. It also establishes the outcomes that the control must improve.
Reconstruct the complete event sequence
A declined transaction may reflect suspected fraud, insufficient funds, technical failure, merchant configuration or an authentication problem. An approved transaction may later become a dispute or confirmed fraud.
Marketways links payment initiation, device, merchant, authentication, authorisation, settlement, dispute and investigation events. We preserve event time, decision rule, model version and subsequent customer action.
The chronology shows where legitimate payments stop and where suspicious payments continue. An aggregate approval rate cannot distinguish these mechanisms.
Separate customer friction from technical failure
A customer may abandon a payment because authentication is difficult, a service is unavailable or the issuer declines the transaction. These failures require different remedies.
Marketways classifies the mechanism and measures repeat attempts, channel transfer and contact demand. We examine whether the customer later completes the same purchase or leaves the journey.
This distinction prevents a technical outage from appearing as effective fraud control. It also identifies which failure belongs to product design, infrastructure, merchant configuration or risk policy.
Link later disputes and investigations to the original decision
Fraud labels often arrive after authorisation, sometimes with substantial delay. A model evaluated only on immediate outcomes will treat unresolved transactions as legitimate.
Marketways connects disputes, chargebacks, confirmed investigations and recoveries with the original event. We record label timing and distinguish confirmed fraud from customer dispute or operational error.
The analysis then uses a mature outcome window appropriate to the decision. It does not reward faster approval by ignoring fraud that becomes visible later.
Detect behavioural and network patterns
One transaction may appear ordinary in isolation while its device, merchant, account or payment destination forms an unusual pattern across events. Network and sequence analysis can reveal these relationships.
Marketways compares the current event with relevant customer behaviour and connected entities. Reviewers receive the specific chronology and relationships behind each alert.
Association supports investigation, not a determination of wrongdoing. Legitimate shared devices, merchants or household behaviour must remain plausible explanations until authorised review resolves them.
Measure displacement after a control changes
Adding friction to one route can send legitimate customers to another channel or cause them to abandon the purchase. Attackers may also change device, merchant, amount or payment type.
Marketways compares affected and unaffected routes and monitors substitution over time. We distinguish reduced total fraud from fraud that merely moved beyond the original rule.
The model and evaluation population must change when the intervention changes behaviour. A static before-and-after comparison can otherwise misattribute displacement to improvement.
Calibrate thresholds through unequal consequences
A false decline can lose a transaction, damage trust and create service cost. A missed fraudulent payment can create direct loss, dispute cost and wider customer harm.
Marketways compares threshold options through expected consequences, not accuracy alone. We include fraud loss, false declines, customer value, review capacity and the benefit of additional verification.
Thresholds may differ by transaction context and available response. The system should route uncertainty towards proportionate verification rather than force every case into approval or rejection.
Allocate specialist review where it can change the decision
Manual review is limited and time-sensitive. Sending every uncertain payment to a specialist creates delay and may cause legitimate customers to leave before a decision.
Marketways estimates review yield, decision time and the incremental value of evidence. We identify which cases can be resolved by a permitted verification step and which genuinely require expert investigation.
The queue then reflects consequence and resolvability as well as risk. Review capacity becomes part of threshold design rather than an afterthought.
Use Agentic AI to prepare evidence within strict authority
A reviewer may need events from several systems, the applicable rule and the customer's verification history before acting. Manual retrieval can exceed the time available for a payment decision.
An Agentic AI workflow can gather authorised events, assemble a timeline and prepare the evidence for review. It may coordinate a permitted verification step when policy defines the action clearly.
The workflow must verify identity, preserve source records and escalate conflicting signals. It must not infer wrongdoing or impose an adverse restriction outside delegated authority.
Evaluate every material change across the full journey
A new authentication rule may reduce observed fraud while increasing false declines, repeat attempts or service contacts. Higher approval can also conceal fraud that moved to another route.
Marketways compares completion, fraud loss, false declines, disputes, review time and contact demand with a credible baseline. We include unusual but legitimate cases, unavailable dependencies and adversarial scenarios.
The evaluation continues after deployment because attacker and customer behaviour changes. A control remains useful only while it improves the combined journey outcome.
A stepped-authentication example shows the trade-off
Suppose a bank adds stronger authentication to transactions above a fixed value. Fraud loss in that route falls, which appears to establish success.
Journey analysis may show more legitimate abandonment near the threshold and a rise in fraudulent attempts just below it. Some customers may also repeat the payment through another channel, increasing contact and duplicate authorisation attempts.
Marketways would compare adaptive threshold and verification options across the full sequence. Management can preserve stronger review where it adds value without imposing the same friction on every legitimate transaction.
How Marketways improves the payment decision
Marketways reconstructs the complete payment and review journey, separates failure mechanisms and tests how controls alter customer and attacker behaviour. We calibrate detection, verification and review thresholds against consequence, capacity and successful completion.
The engagement draws on Risk Detection, Process and Workflow Analysis and Redesign and Process Mining. Where an agent supports review, Marketways defines its evidence access, permitted actions, escalation and evaluation cases.