Agentic AI Pipeline: How Our Multi-Agent System Works

Autonomous workflows that transform raw news into structured risk intelligence

🤖 What Makes Our Pipeline "Agentic"?

Unlike traditional rule-based systems, our pipeline uses autonomous AI agents that can reason, analyze, and execute complex multi-step tasks without human intervention. Each agent specializes in a specific function—collection, resolution, analysis, deduplication—and they collaborate to produce high-precision risk profiles.

The Multi-Agent Workflow

Our system orchestrates five specialized AI agents that work together in sequence, each building on the output of the previous stage:

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Collection Agent

Autonomous data discovery and ingestion

This agent continuously crawls 9,000+ global news sources—monitoring articles daily across 25+ languages. Using intelligent source prioritization and content filtering, it identifies potentially risk-relevant content before deeper processing.

Global Sources: Major outlets + regional publishers
Specialized Media: Industry journals, investigative reports
Local Press: Hyper-local news in native languages
Multi-Language: 25+ languages with auto-translation
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Insight Extraction Agent

Structured graph data generation

Transforms unstructured text into structured knowledge graphs. It identifies entities (people, companies) and maps their relationships to reported activities, creating a web of connections from raw text.

Graph Mapping: Entity-to-Entity connections
Attribute Extraction: Roles, dates, locations
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Risk Analysis Agent

Contextual risk assessment

Evaluates the extracted insights to determine risk relevance. It classifies the nature of the risk (e.g., fraud, money laundering) and links specific entities to verified risk events, discarding false positives.

Risk Classification: AML/CFT typologies
Relevance Scoring: High/Medium/Low impact
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Event Resolution Agent

Event-centric deduplication

The core of our precision. Instead of just merging names, we merge events. 50 articles about the same bribery case? Merged into one event cluster. The same person involved in a new, separate fraud case? Created as a new distinct risk entry.

Event Clustering: 1 Risk Event = 1 Record
Distinct Risks: Separate crimes remain separate
Noise Reduction: Eliminates repetitive alerts
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Timeline Construction Agent

Lifecycle tracking of risk events

Tracks the status of a specific event over time as new information emerges. It builds a chronological lifecycle for each risk: from AccusationArrestBailConviction.

Status Updates: Real-time progression tracking
Chronological Ordering: Clear sequence of events
Audit Trail: Full history of the case
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Structured Risk Profile

Clean JSON output ready for your compliance workflows

🚀 Ready to Integrate?

All of this processed intelligence is available through our RESTful JSON API. Search by name, entity type, date of birth, or country to retrieve structured risk profiles ready for integration into your compliance workflows.

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