Why is collaboration between developers and business stakeholders so critical when building AI agents?
How can developers and business teams align on measuring efficiency—both technically and operationally?
How should the ADLC accommodate both generative and deterministic agents in the same enterprise ecosystem?
How can ADLC support the integration of emerging AI technologies while ensuring backward compatibility with existing agents?
What are the key new phases or stages that are introduced when moving from an SDLC to an Agent Development Life Cycle (ADLC)?
How do you design agents to be platform-agnostic yet enterprise-compliant?
How do you enforce ethical AI principles at scale in an ADLC environment?