In++ 2.0

AI Agent - End-to-End Example

Entry Pattern: Greenfield | Readiness: Ready for Structuring

Human-Facing Form

> We need an AI agent that processes incoming client requests - interprets them and prepares draft responses or next-action suggestions for the team. It must operate within strict safety boundaries, with mandatory escalation for ambiguous or sensitive cases.

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AI-Facing Canonical Form

Core Definition

Intent: create Object: Specialized AI agent for client request processing Constraints:
  • [safety] No risky autonomous decisions - all high-impact actions require human approval
  • [safety] No false promises or commitments to clients
  • [safety] Mandatory escalation for ambiguous, sensitive, or high-risk cases
  • [quality] Must remain interpretable and controllable at all times
Expected Output: Deployed AI agent with request classification, draft response generation, escalation protocol, and human oversight dashboard

Supporting Context

Actors:
  • [primary] Client request processing team
  • [supporting] AI agent
  • [supporting] Team leads (escalation targets)
Value: Faster client response times while maintaining safety and quality Evidence:
  • [to-collect] Current request volume and patterns
  • [to-collect] Existing response templates
  • [to-collect] Historical escalation cases
  • [to-collect] Client sensitivity categories
Metrics:
  • Classification accuracy [target: > 85%]
  • Safe escalation rate [target: > 95%]
  • Error rate [target: < 5%]
  • Response draft quality [target: TBD]

Development Layer

States:
  • [partial] Draft - initial architecture
  • [partial] Under validation - testing with historical data
  • Active - processing live requests
  • Escalated - handling edge cases
  • Revised - updated after feedback
Signals:
  • [safety: critical] - Dangerous output generated
  • [safety: critical] - False promise detected in draft
  • [quality: warning] - Hallucination signs in response
  • [operational: warning] - Rising error rate
  • [feedback: info] - Team satisfaction feedback

Readiness Layer

Current Lifecycle State: Structured Realization Decision: Ready for Structuring Critical Gaps:

Universal CRT passed (all Critical Blocks answered), but Specialized Readiness has 3 blocking unknowns:

  • ❓ Allowed actions - not yet defined
  • ❓ Escalation rules - not yet defined
  • ❓ Decision boundaries - not yet defined
Next Steps: Define allowed/prohibited actions, establish escalation rules with thresholds, set decision boundary criteria.