Assess
Clarify the workflow, users, data, risks, and success metrics before choosing tools or models.
AIDLC workflow
A practical lifecycle for AI-assisted delivery.
Assess, Identify, Design, Launch, and Continuously Improve keeps AI adoption tied to real workflows, measurable outcomes, and responsible operations.
Identify
Prioritize the AI use cases that can improve speed, quality, visibility, or customer experience.
Design
Map the architecture, human review points, prompts, integrations, testing, and governance needs.
Launch
Ship incrementally with training, monitoring, support ownership, and fallback paths.
Continuously Improve
Measure outcomes, collect feedback, tune behavior, and expand only where the workflow proves value.