The AIDLC is a proven method for delivering enterprise AI faster, accountable at every step.
Most AI pilots stall at the seams between stages. The AIDLC integrates discovery, design, build, validation, release, and governance, with the right tools at each stage and a full trace from intent to production.
Six AI-Assisted Stages, End-to-End.
AI is embedded across every stage, from discovery to governance, with the right tools at every step.
Business intent is captured, use cases are scoped, and guardrails are defined up front.
ToolsClaudeWorkshopsBDD
Turn intent into mockups, components, and a governed design system, with consistent reusable templates for agents.
ToolsDesign SystemPrompt Library
Agents generate code, open and review pull requests and perform context-aware refactoring.
ToolsClaude CodeCursorGitHub
The AI Test Agent produces and runs Unit, API, UI, and E2E tests, to catch risks before release.
ToolsPlaywrightSASTAI Test Agent
Release notes are drafted automatically; changes get versioned, and rollback decision logic protects production.
ToolsCI/CDSandboxApproval Flow
Drift detection, audit trails, and RBAC enforcement keep every deployed agent observable and accountable.
ToolsTelemetryCode AuditsRBAC
Autonomous AI that’s accountable by design
Replace brittle, ungoverned pilots with a delivery lifecycle that reasons, plans, acts, and leaves an audit trail.
The AIDLC closes the gap between AI promise and enterprise reality. Traditional delivery bolts AI onto a single stage and leaves the rest ungoverned.
The AIDLC is dynamic. It sets objectives and decomposes tasks, chains logic across tools, context, and memory, acts independently at each step, and self-corrects in real time.
The 7-Layer Agentic AI Framework
The AIDLC doesn't run on its own. It runs on the 7-Layer Agentic AI Framework, the governed architecture that makes autonomous delivery safe at every stage.
Built to reason, act, and stay governed, at every stage
Autonomy you can prove and trust
In an agentic system, the hard question is always "can you account for what it did?" The AIDLC answers that at every step, so agents remain explainable, reversible, and compliant.
Full Auditability
Every automated decision is logged with a regulatory trace and immutable audit trail.
Access Control
RBAC and access policy govern what each agent and each user is allowed to do.
Human-in-the-Loop
Review gates and approval flows keep a human in the loop where it matters.
Data Protection
PII redaction, on-premise options, and data residency controls keep sensitive data inside your boundary.
Continuous Oversight
Drift detection and cost monitoring flag model, quality, and spend anomalies before they escalate.
Purpose-built for enterprise AI delivery
The AIDLC is PrimeSoft’s method for enterprises that cannot compromise speed, quality, or compliance. Every stage from discovery to governance is designed to eliminate friction between intent and production, while keeping a human accountable at every gate.
Autonomy
AI embedded across every stage that plans, acts, adapts, and improves without step-by-step instruction.
Governance
Complete auditability, compliance controls, and model transparency, built into every layer.
Enterprise Fit
Deploys in your environment, integrates with your tools, and operates within your security boundary.
See the AIDLC on your use case
A personalized demo built on your use case. Our team walks you through a live session scoped to your industry, your stack, and your governance requirements. Deployed in your environment with zero disruption to existing tooling.