What Is the ADLC?
The Agent Development Life Cycle is the governance framework for building, evaluating, deploying, and maintaining agentic AI systems in production. It is distinct from traditional SDLC because agentic systems produce non-deterministic outputs, exhibit emergent multi-agent behaviours, evolve continuously through model and prompt changes, and can take autonomous actions with real-world consequences — none of which traditional SDLC frameworks account for.
Why Traditional SDLC Is Insufficient
Traditional SDLC assumes deterministic systems. Agentic systems violate this assumption at every level. A prompt change improving performance on one input class can degrade another. ADLC adds three critical governance layers: eval suites testing agent behaviour across representative input distributions before every deployment; regression gates catching degradation caused by prompt or model changes; and human-in-the-loop review checkpoints for high-stakes agent decisions.
WTA’s ADLC via the SPEED Framework
During Strategy, WTA defines the agent’s decision scope and establishes the golden evaluation dataset. During Engineering, every agent component is version-controlled with immutable artifact storage. During Evaluation, Langfuse eval suites run against the golden dataset and flag regression before deployment gates open. During Deployment, canary rollout exposes a small traffic percentage with automatic rollback triggered by latency or error rate thresholds. During Continuous Intelligence, Azure Monitor feeds performance signals back into the evaluation cycle for ongoing improvement. See how ADLC governs our Accelerated AI SDLC service.
Frequently Asked Questions
What is the Agent Development Life Cycle (ADLC)? ADLC is the governance framework specifically designed for agentic AI systems — covering design, build, evaluation, deployment, monitoring, and continuous improvement with non-deterministic systems in mind.
How does ADLC differ from traditional SDLC? Traditional SDLC assumes deterministic outputs. ADLC adds eval suites, regression gates, and human-in-the-loop checkpoints specifically designed for the non-deterministic, emergent behaviour of agentic systems.
Does WTA apply ADLC on every engagement? Yes. ADLC governance is a standard component of WTA’s SPEED framework, applied from Strategy through Continuous Intelligence on every agentic platform engagement.
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