A focused course, tailored for you
The Project Manager's Course on Streamlining Analytics When AML Reporting Overloads
Turn chaotic AML data pipelines into a single, auditable workflow that frees you to focus on strategic portfolio decisions.
Stop rebuilding AML spreadsheets every Monday while regulator deadlines keep tightening.
$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
The SEC announced heightened AML surveillance expectations for regional banks this week, demanding faster detection and documentation of suspicious activity. Your team is scrambling to reconcile legacy spreadsheets, manual alerts, and fragmented dashboards, while senior leadership pressures you to cut turnaround time.
Every sprint ends with a firefight over missing data fields, duplicated effort across the surveillance and analytics squads, and endless back-and-forth with compliance auditors. If the next regulator audit finds gaps, your project timeline stalls and budget overruns become inevitable.
The stakes are clear: delayed reporting can trigger fines, damage the bank’s reputation, and jeopardize your next performance review. You need a repeatable process that delivers clean evidence on demand.
What you walk away with
- A reusable AML data integration workflow that cuts manual effort by half.
- A stakeholder-aligned dashboard that surfaces key risk metrics in real time.
- A documented project cadence that satisfies regulator reporting windows.
- A cost-benefit register that links analytics effort to portfolio revenue impact.
- A risk-adjusted backlog prioritization matrix for AML enhancements.
The 12 modules
Module 1. Mapping the AML Data Landscape
73% of banks cite fragmented data sources as the top barrier to timely reporting. This module walks through a concrete inventory of every AML feed, data store, and transformation step you currently own. By the end you will have a visual data map that highlights duplication hotspots. The deliverable is a populated data inventory spreadsheet.
Module 2. Designing the Integration Workflow
During the Tuesday sprint planning meeting you notice the team spends three hours reconciling CSV imports. This session builds a step-by-step integration design that automates those imports into a unified staging layer. Output: an integration flow diagram ready for handoff to engineering.
Module 3. Building the Real-Time Risk Dashboard
What does the CRO ask themselves when the daily alert count spikes? This module creates a dashboard that surfaces alerts, trends, and false-positive rates at a glance. What you ship from this module: a ready-to-use risk dashboard.
Module 4. Establishing the Evidence Register
By module end an evidence register sits in your drive, cataloguing every report, query, and validation step required for regulator review. This register ties each artifact to the corresponding AML rule, ensuring no gap is overlooked. The deliverable is a populated evidence register.
Module 5. Aligning Stakeholder Priorities
The CFO wants to see ROI on every analytics hour while compliance demands zero gaps. This module crafts a RACI matrix that balances those pressures and clarifies ownership across teams. Output: a stakeholder alignment RACI table.
Module 6. Creating the Cost-Benefit Register
Fastest path from a messy spreadsheet of effort estimates to a clear cost-benefit register that quantifies value per AML use case. The register links each analytics task to projected portfolio impact. What you ship from this module: a populated cost-benefit register.
Module 7. Developing the Sprint Cadence Blueprint
Auditors expect a documented sprint cadence that demonstrates continuous improvement. This module defines a two-week cadence, key deliverables, and review checkpoints tailored to AML projects. The deliverable is a sprint cadence blueprint.
Module 8. Automating Alert Validation
Stakeholder POV: the AML analyst needs a tool that validates alerts without manual triage. This module builds a rule-based validation script and integrates it into the workflow. Output: a ready-to-run validation script package.
Module 9. Building the Remediation Pack
When a regulator flags a missing data element, the head of surveillance must respond within five days. This module assembles a remediation pack template that includes root-cause analysis, corrective actions, and evidence artifacts. What you ship from this module: a remediation pack template.
Module 10. Implementing Continuous Monitoring
A tension exists between the need for real-time monitoring and the overhead of constant data pulls. This module designs a monitoring schedule that satisfies both compliance and performance goals. Output: a continuous monitoring plan.
Module 11. Preparing for Regulator Review
The regulator’s auditor will ask for a single source of truth for AML reporting. This module compiles all artifacts into a reviewer-ready pack that can be presented on demand. What you ship from this module: a regulator review pack.
Module 12. Scaling the Framework
Question: How can the new process survive the next organizational restructure? This final module creates a scaling guide that documents hand-offs, training steps, and governance for future teams. Output: a scaling guide document.
How this addresses your situation
Specific modules that map to what you said you are dealing with.
Module 1 covers Mapping the AML Data Landscape , exactly the inventory you need when you discover duplicate feeds during the weekly data quality review.
Module 5 covers Aligning Stakeholder Priorities , precisely the RACI confusion you face when the CFO asks for ROI and compliance demands zero gaps.
Module 9 covers Building the Remediation Pack , the exact template you reach for when a regulator flags a missing data element on short notice.
What you get with this course
- A populated AML data inventory spreadsheet.
- An integration flow diagram.
- A ready-to-use risk dashboard file.
- A complete evidence register.
- A stakeholder alignment RACI table.
- A cost-benefit register with projected ROI.
- A sprint cadence blueprint.
- A validation script package.
- A remediation pack template.
- A continuous monitoring plan.
- A regulator review pack.
- A scaling guide document.
What you will have in hand by Day 1, Week 1, Month 1
Day 1: tailored playbook in hand, data inventory template pre-populated for your environment.
Week 1: first version of the risk dashboard live and shared with the surveillance lead.
Month 1: recurring sprint cadence operating with a complete evidence register ready for regulator review.
Before and after
Before
Your current AML workflow lives in a maze of Excel tabs, ad-hoc queries, and email threads. Evidence sits in inboxes, dashboards are stale, and every audit request forces the team into a frantic scramble that delays project timelines and inflates costs.
After
After the course, you have a single, up-to-date data map, automated integration pipelines, and a live risk dashboard. All evidence is stored in a ready-to-share register, sprint cadence is documented, and leadership can see clear ROI on analytics effort.
What happens if you do not address this
If you ignore this now, the next regulator audit will arrive with incomplete evidence, forcing a costly remediation sprint. Your sprint velocity will drop, and senior leadership may question the value of the AML analytics function.
Who it is for
A mid-level Project Manager who runs cross-functional analytics initiatives for AML surveillance at a large bank, juggling tight sprint cycles, stakeholder dashboards, and compliance deadlines while trying to keep operational overhead low.
Who this is NOT for. This is not for someone who needs a basic introduction to project management fundamentals.
How it arrives
Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.
Time investment. 6 hours of focused work spread over a week, saving an estimated 40-60 hours of internal scaffolding effort.
Why $199 is the right number
A half-day consultant to map AML data would cost $3,000, a generic compliance certification runs $1,200, and building this framework yourself would consume 60+ hours. For $199 you get a complete, ready-to-use toolkit that delivers immediate ROI.
FAQ
Do I need prior AML compliance knowledge to use the course?
No, the modules start with data mapping and build up to regulator-ready artifacts.
Can the templates be adapted to other risk domains?
Yes, each artefact is generic enough to apply to fraud, credit, or operational risk.
What if my team uses a different BI tool than PowerBI?
The dashboard templates are delivered in an open format that can be imported into any major BI platform.
Is there any live support after I finish the course?
The hand-built playbook includes contact points for internal escalation, but no ongoing coaching is provided.
30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
