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Agent Playbook

Browse agentic AI tasks that instruct LLMs to carry out specific jobs.
These can be integrated into existing workflows in your apps and tools.

Claims Policy Verification

Claims Triage

Claims Fraud Analysis

Customer Query Categorisation

Policy Comparison

Damage Assessment from Images

Insurance Needs Analysis

Policy Renewal Recommendation

Claims Status Update

Compliance Documentation Check

Claims Documentation Validation

Query Triage and Escalation

Fraud Analyst

Fraud Detection

This agentic task detects fraudulent financial transactions - essential for compliance and monitoring agents. The task configuration outlines how to:

  • Analyse transaction patterns and behavioural indicators

  • Evaluate historical account activity alignment

  • Detect anomalous transaction characteristics

  • Calculate risk scores for suspicious activities

  • Generate immediate response recommendations


As a modular agentic task, it integrates with transaction processing and security systems, enabling AI agents to execute real-time fraud detection within existing monitoring workflows. The task specification includes frameworks for pattern analysis, risk assessment, and alert generation, adaptable across banking, payment processing, and e-commerce platforms.

Example outputs:

{
  "fraud_risk_score": "0.85",
  "risk_level": "High",
  "suspicious_factors": [
    "Transaction location inconsistent with account history",
    "Unusually large transaction amount",
    "Multiple high-value transactions in short timeframe",
    "Transaction occurred outside typical account usage hours"
  ],
  "recommended_action": "Block Transaction",
  "explanation": "The transaction shows multiple high-risk factors including an atypical location, unusually large amount, and occurrence outside normal hours. This pattern significantly deviates from the account's historical behavior.",
  "additional_verification_needed": [
    "Contact account holder for confirmation",
    "Request additional identity verification",
    "Verify recent travel plans with account holder"