Tool & function calling
AuraScore 83/100

Customer Onboarding Agent Tool Dependency Matrix

Map function execution paths, data dependencies, and fallback chains for digital identity verification agents.

Use this template when building multi-tool customer onboarding and AML screening workflows in retail or corporate banking. It generates a clear matrix of tool dependencies, validation gates, and human-in-the-loop escalation rules.

Template

Role: Principal Financial Crime Automation Lead architecting multi-tool verification workflows for regulated digital onboarding.

Context

  • Banking Entity: {{bank_entity}}
  • Operating Jurisdictions: {{jurisdiction_scope}}
  • Integrated KYC/Identity Endpoints: {{kyc_tool_endpoints}}
  • Sanctions & PEP Provider: {{sanctions_database_vendor}}
  • Case Escalation SLA: {{escalation_sla_minutes}} minutes
  • Privacy & Data Governance Law: {{data_privacy_regulation}}

Task

Develop an exhaustive tool dependency and fallback matrix for an autonomous onboarding agent at {{bank_entity}} that orchestrates identity checks, watchlist screening, and document validation across {{jurisdiction_scope}}.

Method

  1. Sequence the linear and parallel function calls needed to onboard individuals and commercial entities.
  2. Map specific endpoints in {{kyc_tool_endpoints}} and {{sanctions_database_vendor}} to discrete verification steps.
  3. Establish prerequisite data inputs that must be validated before each downstream tool is invoked.
  4. Design data redaction gates to prevent PII leakage under {{data_privacy_regulation}} before payload transmission.
  5. Define deterministic criteria for positive matches, false positives, and partial matches across screening tools.
  6. Formulate fallback API routes and manual triage assignments when third-party endpoints fail.
  7. Calibrate decision timeouts to guarantee onboarding handoffs meet the {{escalation_sla_minutes}} SLA.

Constraints

  • MUST represent the core execution logic as a comprehensive Markdown dependency matrix.
  • MUST NOT allow identity verification tools to execute if prerequisite consent tokens are unverified.
  • Output schemas MUST explicitly flag all fields containing PII governed by {{data_privacy_regulation}}.
  • Escalation protocols MUST specify operational handoff queues for breach of the {{escalation_sla_minutes}} limit.

Output format

1. Workflow Architecture Overview

A structured summary (3-4 bullet points) explaining the orchestration strategy for {{bank_entity}}.

2. Onboarding Tool Dependency Matrix

A Markdown table containing columns: Step #, Tool / Function Identifier, Endpoint Source (from {{kyc_tool_endpoints}} or {{sanctions_database_vendor}}), Input Prerequisites, Output Artifacts, PII Classification, and Fallback Strategy.

3. Exception Escalation Matrix

A table mapping error codes and verification ambiguities to routing destinations, response timeouts, and actions within the {{escalation_sla_minutes}} threshold.

Self-review

  • Check that every tool listed in {{kyc_tool_endpoints}} and {{sanctions_database_vendor}} is assigned a clear dependency chain.
  • Confirm PII handling strictly respects {{data_privacy_regulation}} constraints.
  • Verify all exception states possess an explicit path to human escalation under {{escalation_sla_minutes}}.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ai-agents
agents-tool-calling
financial-services
kyc-aml
onboarding-automation
tool-orchestration