Risk, Legal & Compliance
AML & Financial Crime
AI-driven transaction monitoring, continuous network intelligence, and automated SAR preparation.
About this playbook
AML operations generate enormous false-positive volumes through rule-based systems. This playbook redesigns financial crime detection for AI-driven behavioural monitoring, continuous network analysis, and automated investigation workflows.
Key outcomes
- Reduce false-positive alert rates through AI-driven behavioural analytics and entity risk scoring
- Improve typology detection through continuous network analysis and AI-driven pattern recognition
- Automate SAR drafting and investigation documentation to reduce investigator time per case
What's inside
Playbook structure
Every Silver Brain playbook follows the same 13-section structure, ensuring consistency and comparability across functions.
01AS-IS diagnostic — how the function currently operates
02Value gap analysis — where AI creates the most leverage
03AI-native target operating model (TOM) overview
04Workstream 1 design — detailed process and tooling
05Workstream 2 design — detailed process and tooling
06Workstream 3 design — detailed process and tooling
07Workstream 4 design — detailed process and tooling
08Workstream 5 design — detailed process and tooling
09Tool landscape assessment — build, buy, and integrate
10Data and integration architecture
11Governance and operating rhythm design
12Phase 2 build guide — sequencing and scoping
13Success metrics and value realisation framework
Free download
Get the AML & Financial Crime Playbook
Enter your work email to download instantly. No marketing emails.
Interested in building this for your organisation?
We design and build AI-native operating models. If you want to implement this for your team, let's talk.
Start a conversation