Derisk360
Use case

Financial Crime

Financial crime agents cover AML monitoring, fraud detection, and sanctions screening — with multi-agent investigation workflows, SAR-ready audit trails, and human-in-the-loop escalation for high-risk cases.

Financial crime agents cover AML monitoring, fraud detection, and sanctions screening — with multi-agent investigation workflows, SAR-ready audit trails, and human-in-the-loop escalation for high-risk cases.

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PROBLEM[ 01 / 06 ]

Why financial crime AI pilots fail

AML, fraud, and sanctions workflows require real-time transaction context, sanctions list updates, and investigation case management — siloed pilots cannot integrate with FinCrime operations or pass regulatory scrutiny.

Production financial crime automation demands unified monitoring, explainable alerts, red-team tested guardrails, and operational runbooks — engineered before go-live, not after a regulatory review.

Key takeaways

Production financial crime for banking — not proof-of-concept

Embedded FDEs in your environment

Evaluation and guardrails from day one

Typical go-live under 12 weeks

SOLUTION[ 02 / 06 ]

How Derisk360 delivers financial crime agents

Embedded FDEs map FinCrime workflows end-to-end — transaction monitoring, sanctions screening, fraud pattern detection, and SAR preparation. Multi-agent orchestration coordinates alert triage, evidence gathering, and case escalation with policy engines enforcing regulatory thresholds.

FDEEs run adversarial eval harnesses and calibrate false-positive rates against historical cases. Go-live in your VPC with full audit logging. Typical result: faster investigation cycles with explainable outputs auditors approve.

DELIVERABLES[ 03 / 06 ]

Concrete artefacts, not slide decks.

01 / DISCOVER

Use case scoping

Embedded FDEs map financial crime workflow, data sources, and compliance requirements.

02 / CONTEXT

Context unification

MCP connections and governed retrieval for every system the agent touches.

03 / BUILD

Agent configuration

Multi-agent workflow with guardrails, human-in-the-loop, and eval harnesses.

04 / GO-LIVE

Production deployment

Secure deployment in your VPC with audit trails and FDEE monitoring.

HOW WE DELIVER[ 04 / 06 ]

Four phases to production go-live.

01 / PLUG IN

Embed & discover

FDEs embed in your banking operations to scope financial crime workflow and compliance requirements.

02 / INGEST

Unify context

Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.

03 / BUILD

Configure & evaluate

Configure governed agents, eval harnesses, and policy controls for financial crime.

04 / RUN

Deploy & monitor

Go live securely in your cloud with FDEE-led monitoring, continuous evaluation, and proactive tuning.

USE CASES[ 05 / 06 ]

Where this applies.

BANKING

Financial Crime

AML, fraud, and sanctions agents with investigation workflows and SAR-ready audit trails.

GOVERNANCE

Audit-ready deployment

Full audit trails, explainability, and model risk documentation.

OPERATIONS

24/7 managed AI ops

Continuous monitoring and incident response post go-live.

PROVEN[ 06 / 06 ]

Production outcomes, not pilot metrics.

−35%

FinCrime alert investigation time with governed multi-agent workflows.

<12wks

Typical accelerator go-live for banking financial crime agents.

100%

SAR-ready audit trail coverage for agent decisions and escalations.

See customer outcomes →

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Frequently asked questions

What is financial crime?
AML, fraud, and sanctions agents with investigation workflows and SAR-ready audit trails.
How does Derisk360 deliver this for banking?
Embedded FDEs run accelerator sprints — context, agents, eval, deploy, operate — in your VPC.
How do I scope an engagement?
Book a discovery call at derisk360.com/book.
What accelerators support financial crime?
Industry Implementation Accelerators, Context Engineering, Agentic Transformation, and Evaluation & Guardrails — scoped during discovery.
Can we start with a single workflow?
Yes. Accelerators focus on one high-value use case first — then expand the pattern across adjacent workflows.