AI Agents

Context

Built for banking within the Fraud Investigation Stack and used by Fraud / Call Center QA teams, this agent addresses a very practical evidence problem: voice recordings are often important, but they are slow to review and almost impossible to search at scale. It is designed for Tier 1–3 banks that rely on recorded calls as part of fraud review, escalation, and quality assurance.

What it does

The agent converts MP3 call recordings into searchable, timestamped transcripts with keyword indexing. Instead of forcing investigators or QA staff to listen manually through long recordings, it turns audio into text that can be scanned, searched, and cited. The timestamps matter: users can jump directly to the relevant moment rather than scrubbing blindly through a two-hour call.

Core AI functions

The core capability is speech-to-text, timestamp indexing, and keyword search. The agent takes unstructured audio, produces a transcript linked to precise moments in the recording, and makes that evidence navigable.

Problem solved

Two-hour calls require full manual listening, and audio is non-searchable. That is the bottleneck. Valuable evidence is buried inside a format that is slow for humans to process.

Business impact

A 90% reduction in review time, along with targeted snippet access and searchable evidence. In practice, that means fraud teams and QA teams can get to the relevant parts of a call quickly, use them in downstream case documentation, and stop wasting investigator time on passive listening.

Integration and adjacent use cases

Integration complexity is medium: the agent needs access to call recordings and a way to store transcripts and search indexes back into the investigation environment.

Common combinations in this stack:

• Alert Triage Agent to prioritize cases where call review is urgent;

• False Positive Screener to reduce needless call review on weak alerts;

• Evidence Compiler Agent to add transcripts into the unified case file;

• Timeline Generator to insert call events into the broader event chronology;

• Case Narrative Generator to incorporate quoted or summarized call evidence into the memo; and

• SAR Report Compiler Agent to ensure relevant voice-derived facts can flow into the reporting pack when required.