Chargeback management is shifting from cost control to recovery

At a glance

What this is: This is a 2024 research report on chargeback management that says merchants are facing rising dispute pressure, manual handling, and operational complexity.

Why it matters: It matters to fraud, payments, and IAM-adjacent governance teams because chargeback workflows often rely on identity evidence, access records, and consistent case handling across people and systems.

By the numbers:

• Riskified partnered with industry advisors Paladin Fraud to interview more than 300 chargeback managers from leading merchants worldwide.

👉 Read Riskified's 2024 report on chargeback challenges and merchant recovery

Context

Chargeback management is a fraud operations problem, but it is also a governance problem. When disputes are handled manually across multiple teams, merchants lose consistency in evidence handling, case ownership, and decision timing, which makes recovery harder and operating cost higher.

For identity and access teams, the intersection is practical: chargeback evidence often depends on reliable account history, authentication signals, transaction context, and auditability. That makes this a workflow integrity issue as much as a finance issue, and the manual model described in the report is already under strain.

Key questions

Q: How should merchants reduce manual friction in chargeback management?

A: Merchants should reduce manual friction by standardising evidence collection, triaging disputes by confidence level, and automating repeatable case types first. The aim is not to remove human review entirely, but to reserve manual effort for exceptions that truly need judgment. That makes the process faster, more consistent, and easier to audit.

Q: Why do chargeback disputes become harder to win as volumes rise?

A: They become harder to win because evidence quality and turnaround time usually degrade as case volume grows. If analysts are copying data from multiple systems by hand, even strong claims can miss submission deadlines or arrive incomplete. High volume exposes weak process design, not just staffing shortages.

Q: What do merchants get wrong about chargeback automation?

A: Many merchants treat automation as a way to speed up the same workflow, rather than redesigning the workflow itself. If the underlying evidence model is inconsistent, automation only scales bad inputs faster. The better approach is to automate triage, validation, and routing after the evidence standard is defined.

Q: Who is accountable when chargeback recovery performance declines?

A: Accountability should sit with the team that owns the end-to-end dispute workflow, not with individual analysts alone. That ownership must cover evidence standards, submission timing, exception handling, and reporting. Without a clear owner, losses tend to be blamed on volume rather than process quality.

Technical breakdown

Why manual chargeback workflows break at scale

Manual chargeback handling becomes fragile when case volume rises faster than staffing, because each dispute needs evidence collection, review, and submission inside tight deadlines. A manually assembled workflow also creates variation in how different analysts interpret the same transaction, which weakens repeatability and makes performance hard to manage. In practice, this turns chargeback response into a queueing problem rather than a controlled process. The more the process depends on individual judgment and spreadsheet coordination, the more losses accumulate from missed deadlines and inconsistent rebuttals.

Practical implication: merchants should map where manual handoffs delay evidence assembly and standardise the cases that can be auto-triaged first.

Chargeback evidence depends on identity and transaction integrity

A chargeback dispute is won or lost on the strength of evidence, which often includes authentication data, delivery signals, account history, and policy-compliant transaction records. If those signals are inconsistent, incomplete, or hard to retrieve, the dispute team cannot build a defensible case. This is where identity governance intersects with fraud operations: reliable identity proof, access logs, and session history become part of the evidence chain. Without trusted records, even a well-run dispute team is forced to argue from weak documentation rather than fact.

Practical implication: teams should ensure authentication, access, and transaction logs are retained in a form that dispute analysts can use without manual reconstruction.

Operational efficiency is now a control issue, not just a cost issue

The report frames chargeback management as a future revenue recovery function, which means the process must be measurable and governed like other high-volume operational controls. That requires clear ownership, consistent evidence standards, and defined decision paths for escalation and exception handling. If those elements are missing, the organisation absorbs the same dispute repeatedly as labour cost instead of converting it into recoverable value. The governance lesson is that efficiency failures can directly reduce dispute recovery performance, not just burn staff time.

Practical implication: build control points for ownership, escalation, and evidence quality so chargeback handling can be monitored like any other critical workflow.

Threat narrative

Attacker objective: The practical objective is to convert disputed transactions into unrecovered loss by exploiting operational weakness rather than technical compromise.

1. Entry occurs when merchants face a sustained stream of disputed transactions that must be reviewed under time pressure and with limited automation.
2. Escalation happens when manual case handling, inconsistent evidence collection, and fragmented ownership slow response times and reduce dispute quality.
3. Impact is sustained profit erosion and lower recovery rates because more cases are mishandled, delayed, or lost on process rather than substance.

NHI Mgmt Group analysis

Chargeback management has become an identity-adjacent governance problem. The report shows that the dispute process depends on trustworthy transaction records, authentication evidence, and consistent workflow ownership. That puts fraud operations in the same control conversation as IAM and auditability, because weak records undermine the ability to prove legitimacy. Merchants should treat chargeback evidence as governed identity-adjacent data, not as an afterthought.

Manual dispute handling creates process debt that compounds with scale. When more than 300 chargeback managers describe the same operational pain points, the signal is that variability is systemic, not local. Manual review models produce inconsistent outcomes, slow response cycles, and poor visibility into where losses are happening. The industry should interpret this as a control maturity issue: a process that cannot be measured cannot be reliably improved.

Chargeback operations need a named control boundary. A useful concept here is chargeback evidence integrity, meaning the degree to which dispute data can be trusted, retrieved, and applied consistently across cases. If evidence is incomplete or fragmented, the dispute function becomes reactive rather than recoverable. Practitioners should define that boundary explicitly and manage it as part of fraud governance.

The future state is not just more automation, but better decision architecture. Automation only helps when it reduces variance in evidence gathering, case triage, and submission quality. If merchants automate a broken workflow, they simply scale the same mistakes faster. The stronger path is to pair automation with clear policy, evidence standards, and ownership so recovery becomes repeatable.

For security teams, this is a reminder that trust data has operational value beyond access control. Authentication events, device history, and transaction context are not only security artefacts, they are business evidence. When those signals are preserved and governable, they support both fraud defence and dispute recovery. Teams should design logging and retention with downstream financial workflows in mind.

What this signals

Chargeback operations are converging with broader evidence-governance disciplines. For practitioners, the signal is that fraud recovery depends on the same logging discipline, access traceability, and workflow ownership that support identity and security programmes.

Evidence integrity debt: this is the point at which weak data retention and inconsistent case handling start to directly reduce recoverable revenue. Teams that can trace the transaction, authenticate the user, and retain the records are better positioned to defend disputes and report performance with confidence.

Merchants that already manage identity data and access logs well should be able to extend that discipline into dispute workflows. The main challenge is not collecting more data, but making sure the right records are available, trustworthy, and usable when a chargeback arrives.

For practitioners

• Standardise dispute evidence requirements Define a single evidence checklist for chargeback cases so analysts use the same transaction, authentication, and fulfilment signals every time. That reduces variance between reviewers and makes outcomes easier to audit.
• Automate first-pass case triage Route disputes by reason code, amount, and available evidence so the highest-confidence cases are handled faster and the weakest cases escalate earlier. This reduces manual queue pressure and protects analyst time.
• Retain authentication logs for dispute use Keep login, session, and access history in a form that chargeback teams can retrieve without ad hoc reconstruction. Dispute outcomes often depend on proving who acted, when, and from where.
• Assign clear ownership across fraud and operations Create named responsibility for dispute intake, evidence gathering, submission, and appeal tracking so chargebacks do not fall between fraud, finance, and customer support teams.
• Measure recovery as a governed workflow Track win rate, submission delay, evidence completeness, and exception volume as operational controls, not just finance metrics. That makes it possible to see where the process is failing before losses rise.

Key takeaways

• Chargeback management is no longer just a finance task, because it now depends on evidence quality, workflow ownership, and measurable controls.
• The report’s findings show that manual handling and fragmented processes are driving avoidable loss as dispute volume rises.
• Merchants should standardise evidence, automate triage, and preserve identity and transaction logs so recovery becomes repeatable.

Key terms

• Chargeback Evidence Integrity: The degree to which a merchant’s dispute evidence is complete, trustworthy, and reusable across cases. It covers transaction records, authentication data, fulfilment signals, and review history. When this integrity is weak, chargeback teams spend more time reconstructing facts and less time winning disputes.
• Dispute Workflow Ownership: Clear accountability for the end-to-end process that handles chargeback intake, evidence gathering, submission, escalation, and appeal tracking. Without it, disputes move between fraud, finance, and support teams without a single control owner. That usually leads to missed deadlines, inconsistent submissions, and poor reporting.
• Manual Case Triage: The practice of sorting chargeback cases by hand before deciding how they should be reviewed or escalated. Manual triage can work at low volume, but it becomes unreliable when case counts rise. The main risk is inconsistency, where similar disputes receive different handling based on who reviews them.

What's in the full report

Riskified's full report covers the operational detail this post intentionally leaves for the source:

• Merchant interview findings from more than 300 chargeback managers across global regions
• Detailed breakdown of the biggest operational pain points in manual dispute handling
• Specific ways merchants can improve chargeback management and recover revenue more effectively
• Benchmark context on how merchants currently manage chargebacks in practice

👉 The full Riskified report covers the survey findings, pain points, and operational improvement paths in more detail.

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The NHI Foundation Level course, the industry's only accredited NHI security programme, covers NHI governance, machine identity security, and secrets management. It helps practitioners connect identity controls to the operational processes their programmes depend on.