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AML Remediation Project Management That Works

AML Remediation Project Management That Works

February 28, 2026

An AML remediation programme rarely fails because people do not understand the rules. It fails because the work is treated like a document exercise, the scope keeps moving, and evidence is gathered too late to be credible. By the time the next audit or regulatory touchpoint arrives, the organisation has activity, but not assurance.

This guide is written for compliance officers, MLROs, risk leaders and operations directors who need remediation to stand up to scrutiny and actually reduce risk. The aim is simple: manage AML remediation like a controlled change programme, with defensible decisions, clean evidence trails, and measurable control improvement.

What “remediation” means in practice

Remediation is not a single task. It is the process of taking a finding (from an internal audit, regulator, external review, or incident) and converting it into a sustainable control improvement. That typically includes three strands that must stay aligned: policy and governance, process and operational execution, and systems or data.

A common trap is to close findings by updating a policy while leaving the day-to-day workflow unchanged. Another is to change the workflow but not update the risk assessment or oversight model, meaning the control cannot be evidenced. Effective remediation connects the control objective to what staff do, what systems record, and what management can test.

Guide to AML remediation project management: start with a defensible scope

Scope is where regulators, auditors and boards look first. A good scope statement shows you understand the root cause, the impacted population, and the expected control outcome.

Start with the source of the finding and restate it in operational terms. If the issue is “incomplete CDD”, do not scope “update CDD checklist”. Scope the control failure: which triggers were missed, which client types were affected, and what the impact could be on risk acceptance and ongoing monitoring.

Then define the population. Depending on the issue, this might be all new onboardings over a period, a segment (for example, non-resident corporate customers), or all customers with a specific risk factor. The trade-off is speed versus assurance. A narrower population is faster, but you must justify why it is representative and why risk outside that population is not materially impacted.

Finally, define what “fixed” looks like in measurable terms. “Improve quality” is not a control outcome. “CDD files contain verified UBO evidence, documented source of funds rationale, and approved risk rating aligned to the BRA and customer risk scoring model” is.

Governance that avoids drift and “paper closure”

Remediation programmes often run into friction because compliance owns the finding, but operations and technology own the levers. Governance is what keeps accountability clear and stops closure being negotiated down.

Set up a small steering group with the authority to resolve conflicts quickly. For most regulated firms, this is a compliance and MLRO lead, an operations owner, a technology representative where systems are involved, and a senior sponsor who can allocate resources. If you are subject to Maltese FIAU expectations or similar regimes, you also need clear evidence that senior management oversight was active, not ceremonial.

Assign each remediation item a single accountable owner. Supporting contributors can be multiple, but accountability cannot. Track dependencies explicitly, especially where a control change relies on vendor releases, data mapping, or new workflow functionality.

Define your closure standard at the outset. Closure should require evidence that the control is designed appropriately, implemented, and operating. If you close on design alone, you are accepting that the next testing cycle will be where the truth emerges.

Root cause analysis that leads to better controls

Root cause analysis should be short, rigorous, and tied to the control environment. If the root cause is “training”, ask why the workflow allowed discretion without guardrails, why the system accepted incomplete data, or why second line sampling did not identify the pattern earlier.

Most AML remediation root causes land in a few areas: unclear risk appetite translating into inconsistent decisions, weak data capture, over-reliance on manual judgement without escalation criteria, or a monitoring model that is not aligned to risk.

Where it depends is important. If you are a high-volume onboarding business (payments, fintech, gaming), the risk of manual workarounds is higher and system enforcement matters more. If you are relationship-led (wealth, corporate services), documentation depth and narrative rationale become more critical, and quality assurance needs to test judgement calls, not just missing fields.

Build a remediation plan that matches the control lifecycle

A credible remediation plan moves through design, build, implement, and verify. Skipping verification is the most common reason remediation does not hold.

Design is where you translate requirements into control statements: what must happen, by whom, when, and what evidence is generated. Build is where procedures, templates, system changes, and training materials are produced. Implement is where staff start operating the new control and old pathways are closed. Verify is where you test operation and fix early defects.

Avoid plans that are only tasks. Your plan should show how each action improves control effectiveness. If the action is “update CDD procedure”, link it to the specific failure mode and the evidence that will show the updated step is followed.

Evidence is not an afterthought

Regulators and auditors do not assess intentions. They assess evidence. Treat evidence as a deliverable for each remediation item.

For procedural changes, evidence often means version-controlled documents, approval records, and communication logs showing the change was issued. For operational changes, it includes completed file checklists, workflow screenshots, and audit trails in systems. For governance changes, it includes committee minutes, escalations, and management information that demonstrates oversight.

A practical approach is to define an “evidence pack” structure early. Include a short narrative that maps the finding to the control change, then attach the proof of implementation and operating effectiveness. This reduces the scramble at the end and makes closure defensible.

Managing KYC file remediation without disrupting operations

Back-book remediation is where project management discipline matters most. You are effectively running a production line of reviews while continuing to onboard and monitor customers.

Start with risk triage. Prioritise files where the risk of harm is highest: higher-risk customers, high-risk jurisdictions, complex ownership, adverse media exposure, or unusually high transaction activity relative to profile. Then define what “remediate” means for each tier. Not every file needs the same depth, but every file needs a justified rationale for what was done and why.

Resourcing requires realism. If the remediation team is made up of the same staff already struggling with BAU onboarding, quality will drop in both places. Consider ring-fencing a remediation squad and protecting their throughput. Where you use temporary resource, quality assurance must be tighter, because inconsistency is a predictable risk.

Cutover controls also matter. If you are re-papering a backlog while the same customer continues to transact, ensure interim risk mitigations are in place, such as enhanced monitoring rules, temporary limits, or escalation triggers. This is where compliance leadership earns trust: you are not simply fixing the past, you are reducing live risk exposure.

Controls testing: prove it works before you declare closure

Controls testing is the bridge between “we changed it” and “it works”. Your testing should match the risk and the complexity of the control.

For straightforward checklist-style failures, sampling can be sufficient if the population is well-defined and the sample size is justified. For judgement-heavy controls (source of funds analysis, risk rating rationale, EDD triggers), include qualitative review criteria and second line challenge. Testing should check not only completeness, but appropriateness.

If you have a three lines model, keep roles clean. First line operates and self-checks, second line sets standards and conducts oversight testing, and internal audit provides independent assurance. In smaller firms, people can wear more than one hat, but you should still document independence safeguards.

MI and reporting that boards can use

Boards and senior management do not need a long list of tasks. They need to understand whether risk is reducing and whether deadlines are realistic.

Good remediation MI connects progress to outcomes: volumes remediated by risk tier, pass rates from quality assurance, recurring defect themes, overdue items with reasons, and control performance indicators (for example, percentage of high-risk onboardings with documented EDD rationale).

Be careful with traffic-light reporting. It can hide the story. A programme can be “green” on tasks but “red” on quality if rework rates are rising. If you include a RAG status, anchor it to measurable thresholds.

Common failure points and how to avoid them

Remediation breaks down in predictable ways. Scope creep usually comes from unclear populations or changing interpretations of the finding. Prevent it by documenting assumptions and getting formal sign-off.

“Paper closure” happens when policy changes are treated as implementation. Avoid it by requiring operating evidence and a post-implementation test.

Tool-led remediation happens when firms buy a screening or workflow solution and assume it fixes governance. Technology helps, but it does not replace risk appetite, escalation rules, and oversight.

Finally, remediation fatigue is real. Long programmes lose momentum. The fix is not motivational language; it is governance cadence, realistic throughput planning, and visible removal of blockers.

When to bring in independent support

Independence can accelerate remediation when internal teams are too close to legacy decisions or when you need credible challenge for boards and regulators. External support is most valuable when it provides clarity on scope, creates a structured remediation roadmap, designs controls that match your risk profile, and sets up testing that will stand up to scrutiny.

If you want a partner that treats remediation as operational change, not a checklist, Complipal can support scoping, control design, evidence packs, and assurance testing through tailored engagements – see https://complipal.com.

A useful final discipline is this: every remediation action should answer one question in plain language – “How does this reduce our AML risk tomorrow, and how will we prove it?” If you can answer that consistently, project management stops being admin and becomes risk leadership.