Why this report
Most conversations about agentic AI start with the model. In practice the harder questions are about scope, tooling, evaluation and ownership. This report draws on Neura Dynamics delivery work across support, finance and e-commerce operations to answer them.
What it covers
We compare single-agent, multi-agent and deterministic workflow designs against the same set of operational tasks, and document the trade-offs in accuracy, latency, cost and maintenance effort. Each architecture is shown as a diagram you can adapt.
Who it is for
Operations and product leaders deciding where to invest next, and engineering teams planning their first agent in production.
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