AI Delivery Lifecycle Unified with the Standard PM Framework

Standard Project Phase

AI Project Phase (PMI‑CPMAI™)

Focus Areas

Initiation

Phase 1: Business Understanding

Define the Business Problem, Success Criteria and Stakeholders.

Planning

Phase 2: Data Understanding

Assess available data, gaps and feasibility.

Planning

Phase 3: Data Preparation

Prepare, clean and engineer data for modeling.

Execution

Phase 4: Model Development

Build, train and evaluate AI/ML models.

Execution

Phase 5: Model Evaluation

Validate models against business and technical criteria.

Monitoring & Controlling

Phase 6: Model Operationalization

Prepare for operationalization and integration.

Closing

Phase 6: Model Operationalization

Deploy the solution and establish continuous learning.