Banking compliance and resiliency demo

Strengthen fraud, AML, security, and observability operations with AI.

See how your bank can cut alert fatigue, find real risk faster, and produce regulator-ready evidence using AWS and partner applications across fraud, AML, security, and observability.

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What you hear from the team

"Our analysts are buried in alerts, and we still cannot prove resiliency to the regulator on demand."

Banking capabilities

What your team can do.

Fraud monitoring and case AI

Layer AI on top of card, payment, and account behavior to find real fraud sooner and shrink the noise that drains analysts.

AML alert triage and investigation

Cluster, prioritize, and explain AML alerts so investigators spend their time on the cases that matter and produce defensible SAR drafts faster.

Security operations modernization

Centralize detection, response, and evidence on AWS security services with partner integrations, and shorten the time from signal to containment.

Observability and resilience evidence

Produce live evidence of system resilience and recoverability for examiners, with continuous testing and end-to-end observability.

Connect signals

Transaction streams, alerts, KYC, security logs, and observability data flow into a shared layer.

Score and explain

AI scores risk, clusters related cases, and explains the signal in human terms.

Act and document

Open cases, draft SARs, trigger response, and store evidence packets automatically.

Prove control

Produce examiner-ready evidence of resilience, recovery, and control effectiveness on demand.

Fewer false positives

Cut analyst time spent on noise across fraud and AML queues.

Faster real-risk detection

Find the cases that matter sooner and act before loss grows.

Examiner-ready evidence

Produce resilience, recovery, and control evidence on demand.

Lower operational risk

Reduce manual work in the controls that protect the bank.

Use cases your team can deploy

Three workflows that move the operating numbers.

Each use case shows the customer pain, the workflow your team gets, the kind of prompt or trigger that starts it, and the artifact the team can actually use.

UC1

AI-powered fraud monitoring

"We block real customers, miss real fraud, and chase alerts that go nowhere."

Banks with high-volume card or payment activity where false positives and missed fraud are both rising.

What this demo shows

Score card, payment, and account behavior with AI models that explain the signal, surface real-time risk, and feed the case management system with evidence.

Implementation scope

Connect transaction streams and customer data, configure scoring and explanation, integrate with the case tool, and tune with analyst feedback.

Live prompt or trigger

Score this set of card transactions, explain the risk on the top 10, and open cases with full evidence.

Risk scoreRisk explanationOpened caseEvidence packetTuning recommendation

UC2

AML alert triage and SAR drafting

"Investigators are buried in alerts, and SAR writing takes longer than the investigation."

Banks where AML alert volume and SAR workload are pulling investigators away from real risk.

What this demo shows

Cluster related alerts, prioritize the cases most likely to be productive, summarize the customer and counterparty pattern, and draft a SAR with linked evidence.

Implementation scope

Connect alert sources and KYC data, configure clustering and prioritization, set up the SAR draft template, and pilot with one investigator team.

Live prompt or trigger

Triage today's alerts, group related cases, prioritize the top 20, and draft a SAR for the top three.

Triaged alertsPrioritized case listPattern summarySAR draftLinked evidence

UC3

Resilience evidence on demand

"When the regulator asks for proof of recovery and resilience, we scramble for screenshots."

Banks with critical workloads where DR plans exist on paper but evidence of testing is hard to assemble.

What this demo shows

Establish continuous resilience testing, end-to-end observability, and an evidence vault that produces examiner-ready packets on demand for any critical workload.

Implementation scope

Pick the critical workloads, instrument observability, automate recovery tests, and define the evidence packets the regulator expects.

Live prompt or trigger

Produce a resilience evidence packet for our payments service for the last quarter, including recovery test results.

Workload inventoryResilience test resultObservability dashboardEvidence packetExaminer-ready summary

Fast launch path

A five-step path your team can run.

Stand up the first workflow fast: pick the entry point, connect the data, build the experience, pilot with users, and move into steady state with the observability and governance your team needs.

Start the pilot

Week 1

Pick the queue

Choose fraud, AML, security, or resilience as the entry point.

Week 2

Connect data

Wire the source systems and reference data the workflow needs.

Week 3

Build scoring

Configure scoring, clustering, and explanation models.

Week 4

Integrate cases

Plug the output into case management and evidence storage.

Week 5

Operate

Run with analysts, tune with their feedback, and measure outcomes.

Who this is for

Risk, fraud, AML, security operations, and resilience teams in banks that need to reduce false positives, find real risk faster, and produce evidence on demand.

Banking demo

Part of the Tactical Edge banking demo library. See related demos for the rest of the customer journey.

Browse the library

Outcome you can measure

Every demo ends with an artifact you can put in front of your team and a metric you can track from week one.