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Case study · Financial Services · Agentforce

4-minute fraud case cycle at a regional bank — agentic triage with human-in-the-loop

A regional bank's fraud triage was 22 minutes per case with a rising backlog and inconsistent customer messaging. pronix.ai shipped an Agentforce triage workflow on Financial Services Cloud with Amazon Connect voice — case cycle down to four minutes with a HITL step on every decision.

Client
Regional bank, 380 branches
Industry
Financial Services
Platform
Salesforce Agentforce · Salesforce Financial Services Cloud · Amazon Connect
By pronix.ai Strategy Practice8 min readQ1 2026
22 → 4 min
Fraud case cycle
-38%
Fraud loss on triaged cases
+0.4pt
Customer CSAT post-verify
0
Regulator exam findings

*Representative outcome; results vary by client, scope and platform configuration.

The challenge

The bank was losing operating leverage to fraud volume and customers were hearing different scripts from different agents. Every automated action had to be reversible, HITL-gated and audit-traceable — regulators had asked pointed questions in the prior exam.

Our approach

Step 01

Bounded triage scope

Agentforce owned first-pass triage — case classification, evidence pull, customer contact draft — with a mandatory human confirm before any account action.

Step 02

FSC-native tool layer

Idempotent tools on Financial Services Cloud for case create, evidence attach, customer notification and case status; every write journaled for exam.

Step 03

Voice-first customer callback

Amazon Connect handled the outbound verify call with pre-populated context; agents spent seconds, not minutes, on setup.

Step 04

Evaluation harness pre-prod

Golden set of 900 historical cases with LLM-as-judge and analyst spot check; ran on every prompt change before promotion.

The regulator asked good questions and we had good answers — because every action had a name, a reason and a reviewer on it.

Head of Fraud Operations
For Head of Fraud OperationsFor Chief AI OfficerFor CIO

Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.

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