Guide to Core Functions
To provide granular diagnostic analysis, every scenario in AgentV is tagged with a Core Function within its broader use case. This taxonomy ensures that failures are classified not just by sector (e.g., Finance), but by the specific skill required (e.g., Accounts Payable).
📊 High-Level Taxonomy
Section titled “📊 High-Level Taxonomy”The AgentV core supports 1,800+ function identifiers across the following major sectors:
| Sector | Primary Focus | Key Use Cases |
|---|---|---|
| Finance | Regulatory & Transactional | Retail Banking, Wealth Mgmt, Corporate Finance |
| Healthcare | Clinical & Admin | Patient Admin, Clinical Care, Revenue Cycle |
| Manufacturing | Industrial & Supply | Production Scheduling, QA, Spares Mgmt |
| Public Sector | Citizen & Infrastructure | Benefits Admin, Licensing, Public Works |
| Cybersecurity | Defensive & Forensic | SecOps, Vulnerability Mgmt, IAM |
| Legal | Compliance & Litigation | Case Mgmt, Contracts, IP Mgmt |
📂 Detailed Function Registry
Section titled “📂 Detailed Function Registry”For a complete breakdown of every function and its success criteria, refer to the individual Sector Guides in the Evaluator Persona.
Common Cross-Sector Functions
Section titled “Common Cross-Sector Functions”While most functions are industry-specific, several recur across domains:
Incident Management: Responding to faults or outages.Order Processing: Managing the lifecycle of a request or purchase.Compliance Reporting: Generating mandatory regulatory documentation.Customer/Citizen Support: Managing identity and general inquiries.
🛠️ Usage in AES Scenarios
Section titled “🛠️ Usage in AES Scenarios”In an AES v1.4 scenario, the core_function tag is an optional metadata field inside metadata used to enhance forensic diagnostics:
{ "metadata": { "id": "fraud-detection-t1", "industry": "Finance", "use_case": "Retail Banking", "core_function": "Fraud & Security", "aes_version": "1.4" }, "workflow": { "nodes": [ { "id": "t1", "task_description": "Identify if the transaction at 03:00 UTC is suspicious.", "success_criteria": [{"metric": "factual_accuracy", "threshold": 1.0}] } ], "edges": [] }}The TriageEngine leverages this optional tag to correlate failures with historic performance benchmarks for that specific function. It is not required for scenario validation but is recommended for high-fidelity industrial tracking.