Data Tech 2026

Agent architecture decisions are often made before the tradeoffs are fully understood. Reaching for multi-agent can add unnecessary coordination overhead, while stretching a single agent too far can create brittle systems that should have been split or orchestrated earlier.

This session provides a practical framework for choosing between single-purpose, multi-purpose, multi-agent, and orchestrated designs. Informed by real production systems in freight operations and ISO 9001 compliance, it gives attendees clearer signals for when complexity is justified, when specialization adds value, and how to design agent systems that hold up in production.