Chargeback management is shifting from cost control to recovery

At a glance

What this is: Riskified’s report argues that chargeback management is moving from a back-office cost centre to a recovery function that needs tighter operating control.

Why it matters: For merchants and fraud teams, this matters because chargeback workflows now affect revenue recovery, operational efficiency, and the ability to govern disputes at scale.

By the numbers:

• Riskified’s report is based on interviews with more than 300 chargeback managers worldwide.

Context

Chargeback management is the set of processes merchants use to contest and recover disputed transactions. In practice, the problem is no longer just dispute volume. It is the operating model around disputes, including how evidence is gathered, how decisions are made, and whether the work can be repeated consistently at scale.

Riskified’s report points to a broader governance issue for payment and fraud teams: when chargeback handling stays manual and fragmented, it becomes difficult to measure performance, standardise response, or improve recovery outcomes. That makes the topic relevant to revenue operations, fraud teams, and any organisation trying to connect identity, transaction risk, and dispute handling.

The article’s starting position is typical of merchants that grew chargeback operations organically rather than designing them as a governed recovery capability.

Key questions

Q: What breaks when chargeback management is still handled manually?

A: Manual chargeback handling breaks at scale because teams cannot quickly gather the supporting evidence, analyse patterns, or maintain consistent prevention work across channels. It also creates blind spots when multiple PSP gateways and systems hold different parts of the record. The result is slower dispute handling, weaker win rates, and limited ability to learn from recurring chargeback causes.

Q: Why does fragmented ownership make chargeback recovery worse?

A: Fragmented ownership creates gaps between fraud, payments, support, and finance, so no one manages the full dispute lifecycle. That makes handoffs slower, evidence standards uneven, and performance harder to govern. The more disconnected the operating model, the less likely the merchant is to recover value efficiently.

Q: How do merchants know whether chargeback operations are improving?

A: Merchants should look for stable or rising win rates, shorter submission cycles, lower exception rates, and fewer manually reworked cases. If those signals do not improve together, the programme may be adding effort without increasing recovery. Good measurement should show whether the operating model is becoming more repeatable, not just busier.

Q: When should chargeback management be treated as a recovery programme rather than a cost centre?

A: It should be treated as a recovery programme when dispute volume, evidence handling, and analyst workload have grown beyond ad hoc coordination. At that point, the issue is no longer only cost containment. The organisation needs defined ownership, metrics, and standard work so chargebacks are managed as a revenue recovery function.

Technical breakdown

Why manual chargeback handling breaks at scale

Manual dispute handling depends on individual analysts collecting evidence, interpreting network rules, and assembling responses case by case. That model can work when volumes are low, but it becomes brittle when chargebacks rise because process quality depends on tribal knowledge rather than repeatable controls. Once the workflow fragments across teams or tools, the organisation loses consistency, visibility, and the ability to improve throughput. In governance terms, the issue is not only efficiency. It is whether dispute operations have a defined control plane, measurable stages, and clear ownership.

Practical implication: map the dispute workflow end to end and identify which steps still depend on manual judgement or undocumented local practice.

Chargeback recovery depends on evidence, timing, and decision quality

A chargeback is not just a payment reversal. It is a dispute process governed by evidence quality, deadline discipline, and the merchant’s ability to present a coherent case. If those inputs are inconsistent, even strong underlying fraud controls may not translate into recovered revenue. That is why chargeback programmes increasingly sit at the intersection of fraud management, operations, and analytics. The technical challenge is to connect transaction data, order context, and case handling into a single operating model that can support repeatable outcomes.

Practical implication: treat dispute evidence as a governed data flow, not an ad hoc collection task, so every case uses the same minimum proof standard.

The governance gap is fragmented operating models

The core problem described in the report is fragmented ownership. When fraud, payments, support, and finance each manage part of the dispute lifecycle without a shared model, performance becomes hard to measure and improve. The result is operational drag, duplicated effort, and slower recovery. Chargeback management debt: the accumulation of manual steps, inconsistent evidence practices, and disconnected ownership that makes recovery progressively harder to scale. This is less a tooling issue than an operating model issue, and it is typical of merchants that allowed chargebacks to grow without redesigning the control structure.

Practical implication: define ownership, metrics, and handoffs for dispute recovery as a single operating model rather than a set of team-level tasks.

NHI Mgmt Group analysis

Chargeback management is now a governance problem, not just a fraud problem. When disputes are handled manually across disconnected teams, merchants lose the control needed to turn evidence into recoveries. That shifts the conversation from transaction loss containment to operational design, because fragmented handling weakens both efficiency and recoverability. Practitioners should treat chargeback operations as a governed recovery capability.

Manual dispute handling creates process debt that compounds with every new case. The more analysts rely on local judgement and ad hoc evidence gathering, the harder it becomes to standardise outcomes or measure where recovery is failing. This is a familiar pattern in mature operations that were never re-architected for scale. The practical conclusion is that response quality depends on repeatable control design, not heroic manual effort.

Chargeback programmes need the same discipline merchants apply to other revenue-critical workflows. If the business can measure fraud exposure, authorisation performance, and payment conversion, it should also be able to measure dispute intake, evidence quality, win rates, and cycle time. That makes chargeback handling a candidate for stronger governance, clearer ownership, and more explicit service-level management.

Chargeback management debt: the hidden accumulation of manual steps, unclear ownership, and inconsistent evidence standards is what turns disputes into an operational drag. Merchants that do not name this failure mode will keep treating symptoms instead of redesigning the recovery model.

What this signals

Chargeback management debt: the real risk is not only higher dispute volume, but the accumulation of manual work, weak ownership, and inconsistent evidence handling that makes recovery harder over time.

Merchants that want better outcomes need to treat chargeback operations as a governed workflow with measurable stages, not as a loose collection of case-by-case tasks.

For practitioners

• Standardise the dispute workflow Document each stage from case intake to evidence submission and approval so every chargeback follows the same path regardless of merchant segment or analyst.
• Define evidence quality thresholds Specify the minimum transaction, order, and customer context required before a dispute can be submitted, then reject cases that do not meet the bar.
• Measure recovery performance consistently Track win rate, time to submission, cycle time, and exception rates so finance and fraud teams can see where the operating model is failing.
• Reduce handoff fragmentation Assign clear ownership across fraud, payments, support, and finance so no part of the chargeback lifecycle is managed as an isolated task.

Key takeaways

• Chargeback management fails when merchants rely on manual dispute handling instead of a repeatable operating model.
• The article frames the issue as operational debt, where fragmented ownership and inconsistent evidence slow recovery.
• Merchants should standardise ownership, evidence thresholds, and performance metrics if they want disputes to function as a recovery process.

Key terms

• Chargeback Dispute Management: Chargeback dispute management is the process of reviewing, assembling, submitting, and tracking evidence for card payment disputes. It combines operational coordination with investigative judgement, because teams must collect the right proof, meet scheme requirements, and respond quickly enough to protect revenue and win legitimate cases.
• Dispute Evidence: Dispute evidence is the record set a merchant uses to challenge a chargeback or prove legitimate customer behaviour. It can include transaction logs, support interactions, delivery confirmation, device history, and policy records. Strong evidence changes a case from a subjective claim into a reviewable operational decision.
• Recovery operating model: A recovery operating model is the structure that defines who owns restoration, how teams coordinate, and how success is measured during disruption. It matters because resilience breaks down when recovery is treated as a set of separate tasks instead of a governed system.

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