Support is drowning in “unexpected invoice” tickets. Finance keeps pointing at the same chart: predicted overage revenue is rising, but what Billing actually charges is not. Engineers patch it with scripts, broker flows, and glue code. And then someone drops the magic sentence: “Let the agents wire it up.”

That is where many teams stumble into the agentic Wild West. Things ship faster, but meaning gets blurry. Boundaries get ignored. Nobody is sure who owns which rule anymore, and the agents keep producing code that “works” while the domain quietly starts to decay.

This talk introduces Convergent Architectures: a way of working that combines Domain-Driven Design, specification-driven development, and AI coding agents into one delivery loop teams can actually trust. DDD provides the map: bounded contexts and explicit relationships. Specs pin down policies, invariants, and contracts as executable truth. Agents act as context-scoped copilots, generating tests and code inside one context at a time, coordinating only through published APIs and events.

Using a multi-tenant SaaS overage billing case study across Entitlements, Billing, Analytics, and Workflow orchestration, the talk shows how this approach reduces semantic drift, contains hallucinations with tight validation loops, and speeds up cross-context change without sacrificing model integrity. Attendees leave with practical patterns: “constitution” files, spec templates, and lightweight guardrails that keep humans in charge of intent while agents do the heavy lifting.