HORIZON AI-SDLC
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Introduction and Overview:

• AI-SDLC Introduction
• Overview - Business Gates
• Overview - AI-SDLC Process Gates
• Glossary
• Appendix A: POPI Guidelines

Standard Operating Procedures:

• AI-SDLC SOP List and Summary
• SOP 1000 - Project Management
• SOP 1001 - Document Governance
• SOP 1002 - Capacity Management
• SOP 1003 - Configuration Management
• SOP 1004 - Procurement and Purchasing
• SOP 1005 - Release Planning
• SOP 1006 - Strategic Planning
• SOP 1007 - Asset Management
• SOP 1010 - Site Monitoring and Problem Management
• SOP 1030 - MIS Reporting
• SOP 1040 - Requirements Definition
• SOP 1041 - Detail Design
• SOP 1050 - System Security
• SOP 1051 - Security Administration
• SOP 1060 - Service License Agreement (SLA)
• SOP 1061 - Incident Tracking
• SOP 1100 - Documentation of Training
• SOP 1101 - Training and Documentation
• SOP 1200 - Development
• SOP 1210 - Quality Function
• SOP 1220 - Deployment
• SOP 2002 - Control of Quality Records

Gates:

• Gate 12 - Project Start
• Gate 11 - Project Strategy Lock-Down
• Gate 10 - Requirements Scope Lock-Down
• Gate 9 - Definition Phase Plan Approval
• Gate 8 - Systems Requirements Definition Approval
• Gate 7 - Lock-Down Level Estimate Complete
• Gate 6 - Project Lock-Down
• Gate 5 - Detailed Plan Complete
• Gate 4 - Begin Validation
• Gate 3 - Begin System Certification
• Gate 2 - Begin First Office Application
• Gate 1 - Begin Controlled Rollout
• Gate 0 - General Availability

Roles and Responsibilities:

• Contracting Organization
• Customer
• OCE - Office of the Chief Executive
• Owner
• Performing Organization
• Program Manager
• PMO - Project Management Office
• Project Manager
• Review Board
• Service Organization
• Training Organization

Forms:

• Asset Change
• Application Request
• Capital Equipment Justification
• Change Management Request
• AI SDLC Business Gates
• Feed Modification
• Lessons Learned
• New Feed Release Information
• Product Defect Reporting
• Purchase Requisition
• Report Request
• Report Template
• Scope of Work
• Security Change Request
• Security Profiles
• Service Level Agreement (SLA)
• Service Request
• Technical Design
• Training Evaluation
• WEB Application Management Change

Templates:

• Bill of Materials
• Business Architecture
• Business Case
• Business Glossary
• Business Modeling Guidelines
• Business Rules
• Business Use Case Realization Specification
• Business Use Case Specification
• Business Vision
• Configuration Management Plan
• Deployment Plan
• Design Guidelines
• Development Case
• Development Organization Assessment
• Glossary
• Hardware Architecture
• Hardware Requirements Specification
• Integration Build Plan
• Iteration Assessment
• Iteration Plan
• Measurement Plan
• Product Acceptance Plan
• Programming Guidelines
• Quality Assurance Plan
• Release Notes
• Requirements Management Plan
• Risk List
• Risk Management Plan
• Software Architecture
• Software Development Plan
• Software Requirements Specification
• Software Requirements Use-Cases
• Stakeholder Requests
• Status Assessment
• Supplementary Business Specification
• Supplementary Specification
• Systems Architecture
• Systems Requirements
• Target Organization Assessment
• Test Evaluation Summary
• Test Plan
• Testing Guidelines
• Use Case Modeling Guidelines
• Use Case Realization Specification
• Use Case Specification
• Vision

HORIZON AI-SDLC Framework

Enterprise-grade methodology for successful AI project implementation. Designed for CTOs and technical leaders who need a robust framework for managing AI initiatives.

Bookmark AI-SDLC Framework!

Why Choose HORIZON AI-SDLC?

AI-Specific Governance

Purpose-built framework for AI projects with integrated governance controls and decision gates.

• 12 Structured Decision Gates (G-12 to G-1)
• Integrated Portfolio Management
• Feature Definition Controls
• System Specification Standards

Risk Management

Comprehensive risk assessment and mitigation strategies throughout the project lifecycle.

• Systematic Risk Evaluation Framework
• Data Quality Assessment Protocols
• Model Validation Checkpoints
• Performance Metrics Tracking

Quality Assurance

Built-in quality controls and validation processes for AI model development and deployment.

• Model Performance Validation
• Data Pipeline Verification
• Integration Testing Protocols
• Deployment Validation Gates

Scalable Implementation

Adaptable framework that grows with your organization's AI maturity and capabilities.

• Modular Process Components
• Customizable Gate Criteria
• Flexible Resource Allocation
• Extensible Documentation Framework

Gated Technical Framework Details

Release Planning Phase (G-12 to G-10)

• Service Specification Definition
• Feature Definition and Scoping
• High-level Resource Planning
• Initial System Architecture
• Portfolio Management Integration

Definition Phase (G-9 to G-7)

• System Requirements Specification
• Data Architecture Design
• Model Selection Criteria
• Performance Metrics Definition
• Resource Allocation Planning

Development Phase (G-6 to G-4)

• Model Development Protocols
Data Pipeline Implementation
• Integration Framework
• Testing Strategy Execution
• Performance Optimization

Validation Phase (G-3 to G-1)

• System Certification Process
• Production Environment Testing
• Performance Validation
• Deployment Readiness Assessment
• Documentation Completion

Framework Components

Strategic Planning

• Project Portfolio Management
• Resource Allocation
• Risk Assessment
• Technology Stack Decisions

Implementation Guidance

• Clear Gate Criteria
• Defined Review Points
• Standard Requirements
• Quality Metrics

Documentation Framework

• AI Model Documentation
• Data Governance
• Testing Protocols
• Deployment Guidelines

Success Stories

"The HORIZON AI-SDLC framework provided our team with the structure and guidance needed to successfully implement our machine learning initiatives across the enterprise."

- CTO, Fortune 50 Company

"This framework helped us reduce project risks and improve the quality of our AI deployments while maintaining efficient development cycles."

- Director of AI, Global Technology Firm

This AI Software as a Service (SaaS) System Development Life Cycle (SDLC) developed by HORIZON provides CTOs with a robust, adaptable framework for the entire lifecycle of AI-driven projects. It is designed specifically to reduce the complexity of system integration, streamline the definition, design, implementation, testing, and deployment phases, and ensure a consistent approach to delivering AI solutions at scale. The AI SDLC is a comprehensive structure composed of clearly defined Gates, Roles, and Responsibilities. Each component is crafted to provide clarity and mitigate risk at each stage of the development process. Gate - A decision or transition point for a project, ensuring the project meets quality and scope before progressing. Role - An individual or group participating in the project, each with well-defined expectations to enhance accountability. Responsibility - Specific objectives or deliverables for which a role is assigned ownership, driving targeted progress and success. Process/Procedure - Activities focused on roles and responsibilities to maintain consistent standards and efficient project workflows. Each process within the SDLC may involve multiple roles but maintains a core focus on accountability and outcome-driven execution. Every Standard Operating Procedure (SOP) document directly correlates to an SDLC process, providing CTOs with a clear roadmap to manage, assess, and refine AI initiatives effectively.