Processes
Explore lifecycle processes, operational workflows, and governance reviews that guide how teams build and operate across the AI Blueprint.
Lifecycle processes (xDLCs)
Agent Development Life Cycle (ADLC)
End-to-end lifecycle for building and deploying AI agents.
Lifecycle Agentic Core
Traditional
Ideate (APO)
Design (AIA)
Develop (AE)
Evaluate (AE)
Deploy (AE)
Run (ARE)
AI-Native
Specifies agent intent
Planning Agent
Eval Agents
Coding Agents
Eval Agents
Review & Deploy Agents
Refactoring Agents
Software Development Life Cycle (SDLC)
Standard software development lifecycle.
Lifecycle Software Core
Traditional
Plan (PO)
Design (SA)
Build (SWE)
Test (SWE)
Release (SWE)
Operate (SRE)
AI-Native
Specifies feature intent
Planning Agent
Test Agents
Coding Agents
Test Agents
Review & Release Agents
Refactoring Agents
Data Development Life Cycle (DDLC)
Lifecycle for data products and pipelines.
Lifecycle Data Core
Traditional
Discover (DPO)
Model (DA)
Build (DE)
Validate (DE)
Publish (DS)
Use (DRE)
AI-Native
DPO describes data need
Discovery Agents
Pipeline Agents
Quality Agents
Publish Agents
Monitor Agents
Foundation Development Life Cycle (FDLC)
Lifecycle for infrastructure and platform services.
Lifecycle Foundations
Traditional
Design (CPA)
Provision (PE)
Configure (PE)
Harden (CSE)
Operate (ISRE)
AI-Native
Architect describes infra need
IaC Agents
Security Agents
Deploy Agents
Monitor Agents
Cost Agents
Operational processes
Agent Incident Response
Process for responding to agent-related incidents.
Operational
Traditional
Detect (ARE)
Triage (ARE)
Investigate (ARE)
Remediate (AE)
Review (ARE)
AI-Native
Agent anomaly detected
Agent Anomaly Detection
Triage Agent
Agent RCA Agent
Agent Remediation
Postmortem Agent
Incident Response
Standard incident response for applications.
Operational
Traditional
Detect (SRE)
Triage (SRE)
Mitigate (SRE)
Resolve (SWE)
Review (SRE)
AI-Native
Alert fires or user reports issue
Anomaly Detection Agent
Triage Agent
RCA Agent
Remediation Agent
Postmortem Agent
Governance processes
Security Review
Security review for new deployments or changes.
Governance
Traditional
Request (SWE)
Assess (SEC)
Review (SEC)
Remediate (SWE)
Approve (SEC)
AI-Native
Change submitted for review
Classification Agent
Policy Evaluation Agent
Security Scanning Agent
Review Orchestration Agent
Monitoring Agent
AI Safety Review
Safety and ethics review for AI agent deployments.
Governance
Traditional
Submit (AE)
Assess (AEP)
Test (AEP)
Approve (AEP)
AI-Native
Agent submitted for safety review
Classification Agent
Safety Evaluation Agent
Red Team Agent
Review Orchestration Agent
Safety Monitoring Agent
Software Development Life Cycle (SDLC)
Standard software development lifecycle.
Lifecycle Software core
Traditional
1
Plan
Define requirements and scope
Responsible: Product owner (PO)
Requirements approved
Components:
2
3
4
5
6
AI-Native
Spec & Planning Planning Agent
Human role: Specifies intent declaratively
Outputs:
Task breakdownSpec analysisAmbiguity flags
Components:
Test Design (TDD) Test Agents
Human role: Reviews test strategy
Outputs:
Unit testsIntegration testsE2E tests
Components:
Coding Coding Agents
Human role: Reviews direction
Outputs:
Implementation against testsSelf-corrects via linters
Local Validation Test Agents
Human role: Iteratively tests in workspace
Outputs:
Local test runsManual verificationEdge case testing
Components:
Release Train Review & Release Agents
Human role: Monitors pipeline
Outputs:
Code reviewArchitectural validationStaged rollout
Maintain & Refactor Refactoring Agents
Human role: Reviews suggestions periodically
Outputs:
Tech debt cleanupCode quality improvementsDependency updates
Components: