Corpay AI-DLC Toolkit Documentation

The Corpay AI-DLC Toolkit (CAT) gives engineering teams AI-assisted workflows that guide you through every phase of Corpay’s AI-Driven Development Lifecycle.

Instead of staring at blank templates or relying on tribal knowledge, you invoke a workflow that facilitates the process conversationally — asking the right questions, pushing for specificity, and producing structured, audit-ready artifacts.

Not sure where to start? Run cat-help in your AI IDE — it inspects your project and tells you exactly what to do next.

How to Use These Docs

These docs are organized into four sections based on what you’re trying to do:

Section	Purpose
Tutorials	Learning-oriented. Step-by-step guides that walk you through using CAT. Start here if you’re new.
How-To Guides	Task-oriented. Practical guides for solving specific problems. “How do I build an ARC?” lives here.
Explanation	Understanding-oriented. Deep dives into DLC concepts and architecture. Read when you want to know why.
Reference	Information-oriented. Technical specifications for agents, workflows, skills, and configuration.

Quick Start

After installing CAT:

# Get oriented — what's available and what to do next
cat-help

# Talk to Janus — the front-door coordinator
cat-master

# Create your first Intent Statement
cat-intent-statement

→ Full Getting Started Tutorial

The DLC at a Glance

CAT guides you through four phases, each producing artifacts that feed the next:

Phase	What Happens	Key Workflows
1. Intent	Capture what you’re building and why	cat-intent-statement, cat-intent-brief, cat-quick-intent
2. Architecture	Define how to build it with enforceable constraints	cat-arc-builder, cat-quick-arc, cat-readiness-check
3. Construction	Build it bolt by bolt against ARC constraints	cat-bolt-writer, cat-bolt-execution, cat-code-review
4. Validation	Verify the work meets intent and compliance requirements	cat-arc-adherence-check, cat-work-acceptance, cat-compliance-report

→ Full DLC Overview · Workflow Map

Meet the Agents

CAT includes 9 specialized AI agent personas, each expert in their domain:

Agent	Persona	Domain
🏛️ Janus	Master Coordinator	Routes you to the right agent or workflow
📊 Livia	Strategic Business Analyst	Research, product briefs, PRFAQ
🎯 Clara	Product Intent Manager	Intent artifacts, features, acceptance
🎨 Flora	UX Designer	Interaction specs and design patterns
🏗️ Julian	Solution Architect	ARC creation, AI governance, readiness
⚡ Marcus	Developer	Bolt execution, code review
👁️ Argus	SRE	Datadog dashboards, observability
🔍 Vera	QA Engineer	Test strategy, compliance, validation
📝 Tullia	Technical Writer	Documentation, editorial review

→ Full Agent Reference

Not Sure Which Workflow to Use?

→ Choosing Your Track — Decision guide for Quick vs Full flow → Glossary — CAT and DLC terminology explained