If you are a Compliance Officer or Head of Financial Crime at an FCA-regulated fintech, this playbook was built for you.
Operating in digital assets or payments means you face accelerating transaction volumes, evolving typologies, and increasing scrutiny from the FCA on the effectiveness of your AML and sanctions controls. You are expected to maintain human oversight while scaling operations efficiently, all under the pressure of real-time monitoring and regulatory expectations for defensible decision-making. Legacy systems generate high false positive rates, investigative backlogs grow, and manual processes fail to keep pace with the speed of modern finance. This playbook equips your team with structured, AI-augmented workflows that align with FCA expectations and support sustainable, auditable compliance operations.
Traditional consulting routes to modernize AML programs involve Big-4 advisory firms charging between EUR 80,000 and EUR 250,000 for similar scope and deliverables. Alternatively, building this capability in-house requires dedicating 2 to 3 full-time compliance and operations specialists for 4 to 6 months, pulling them from frontline risk management duties. This playbook delivers the same depth of operational design, framework alignment, and implementation structure for a one-time cost of $395.
What you get
| Phase | Deliverable | File Count | Format | Purpose |
| Assessment | AI Readiness Assessment for AML Transaction Monitoring Systems | 1 | PDF, XLSX | Evaluate current system maturity, data readiness, and AI integration feasibility |
| Assessment | 7 Domain-Specific AI Readiness Assessments | 7 | XLSX, PDF | Benchmark AI readiness across KYC/CDD, transaction monitoring, sanctions screening, EDD, Travel Rule, case management, and audit response |
| Design | Human+AI Workflow Templates by Process | 14 | PPTX, PDF | Define handoff points between automated systems and human investigators |
| Implementation | Evidence Collection Runbook | 1 | Step-by-step guide to documenting AI model decisions, data lineage, and investigator actions | |
| Implementation | Audit Preparation Playbook | 1 | Prepare for FCA thematic reviews and internal audits with AI-inclusive control narratives | |
| Governance | RACI Matrix Templates (by function and AI use case) | 7 | XLSX | Clarify accountability for AI model oversight, alert triage, and escalation |
| Governance | Work Breakdown Structure (WBS) for AI Integration Projects | 1 | XLSX | Break down implementation into phases, tasks, and ownership |
| Mapping | Cross-Framework Control Mappings | 46 | XLSX | Link internal controls to FCA, FATF, GDPR, and ICA requirements |
| Training | AI in Compliance Training Slides (Internal Use) | 10 | PPTX | Educate compliance, legal, and operations teams on AI-augmented processes |
| Reference | Glossary of AI and Compliance Terms | 1 | Ensure consistent understanding of terms like 'false positive reduction', 'model drift', and 'human-in-the-loop' | |
| Reference | Regulatory Citation Index | 1 | Quick lookup of FCA, FATF, and GDPR references cited in the playbook |
Domain assessments
The seven domain assessments provide structured self-evaluation tools to measure AI readiness across core AML and sanctions functions. Each contains 30 targeted questions with scoring rubrics and improvement pathways.
- KYC/CDD Automation Assessment: Evaluates the capability to use AI for document verification, liveness detection, and risk-based customer classification.
- Transaction Monitoring Intelligence Assessment: Measures the maturity of AI-driven anomaly detection, behavioral clustering, and threshold optimization.
- Sanctions Screening Efficiency Assessment: Assesses fuzzy matching, name disambiguation, and velocity filtering powered by machine learning.
- Enhanced Due Diligence Workflow Assessment: Reviews AI support for PEP screening, adverse media analysis, and beneficial ownership mapping.
- Travel Rule Compliance Assessment: Examines automated data validation, recipient VASP matching, and redaction logic in travel rule messaging.
- Case Investigation Prioritization Assessment: Determines the use of AI to rank alerts by risk, suggest investigative paths, and auto-populate case notes.
- Regulatory Reporting Readiness Assessment: Checks AI's role in drafting SARs/STRs, identifying emerging typologies, and supporting audit trails.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Develop AI integration roadmap | 6, 8 weeks of internal workshops and consultant input | 3 days using WBS and RACI templates |
| Align controls with FCA SYSC 3.1.1 and 3.2.5 | Manual cross-referencing across 200+ pages of handbook | Use pre-built mappings in XLSX format |
| Prepare for FCA audit on AI use | Scattergun evidence collection, risk of gaps | Follow evidence runbook with checklist and sample narratives |
| Train compliance team on AI workflows | Develop training from scratch or hire external facilitator | Deploy ready-to-use PPTX training deck with facilitator notes |
| Map controls to FATF Recommendation 15 and 16 | Interpret guidance independently, risk of misalignment | Apply validated control-to-recommendation mappings |
| Document GDPR-compliant AI decision logic | Engage legal and DPO in ad hoc reviews | Use template language for transparency and explainability |
Who this is for
- Compliance Officers at FCA-authorized electronic money institutions integrating AI into transaction monitoring.
- Heads of Financial Crime at cryptoasset firms seeking defensible sanctions screening models.
- AML Operations Managers in payment institutions aiming to reduce false positive rates by 30% or more.
- Chief Compliance Officers needing to demonstrate AI governance to board and regulators.
- Regulatory Affairs Specialists preparing for FCA thematic reviews on technology use.
- Data Protection Officers ensuring AI systems meet GDPR's transparency obligations.
- Internal Audit Teams evaluating the robustness of AI-augmented control environments.
Cross-framework mappings
The playbook includes detailed control mappings to the following regulatory and professional frameworks:
- FCA Handbook (SYSC 3.1.1, SYSC 3.2.5, SYSC 6.1.1, COBS 2.1.1, PRIN 2.1)
- FATF Recommendations (R.15 on Beneficial Ownership, R.16 on Wire Transfers)
- ICA AI in Compliance Guidelines (2023 Edition)
- UK GDPR (Articles 13, 14, 15, 22 , transparency and automated decision-making)
- PSD2 (Article 29 on AML checks for payment service users)
- Joint Regulatory Guidance on AML for Cryptoassets (FCA, PRA, TPR)
- ISO/IEC 27001:2022 (Annex A.12 controls for AI system monitoring)
What is NOT in this product
- This playbook does not include proprietary AI software, machine learning models, or API integrations.
- It does not provide legal advice or substitute for engagement with external counsel.
- No vendor recommendations or technology stack endorsements are included.
- The templates are not pre-filled with your firm's data or risk appetite statements.
- It does not cover non-AML compliance domains such as conduct risk or market abuse.
- There is no ongoing support, consulting hours, or change management services bundled.
- The playbook is not a substitute for internal model validation or audit functions.
Lifetime access and satisfaction guarantee
You receive lifetime access to all 64 files with no subscription, no login portal, and no recurring fees. All materials are delivered as downloadable files. If this playbook does not save your team at least 100 hours of manual compliance work, email us for a full refund. No questions, no friction.
About the seller
The creator has spent 25 years building compliance frameworks for financial institutions and regulators. They have analyzed 692 regulatory and industry standards and built 819,000+ cross-framework mappings to support practical implementation. Their work is used by over 40,000 compliance practitioners across 160 countries, focusing on making complex regulatory requirements operational through structured, reusable tools.
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