Agentic architecture is not a single-answer problem. Every task carries different governance constraints, different tool requirements, and different tolerance for error. The cost of a mismatched design rarely shows up until the system is already in production.
This whitepaper gives you the framework for choosing before that happens: when deterministic automation is the right tool, when a single-agent system outperforms alternatives, and when multi-agent coordination is warranted.
A practical decision framework for choosing between deterministic, single-agent, and multi-agent architectures
Research-backed guidance from Google DeepMind and Gartner on when multi-agent systems improve performance and when they create costly overhead
Real-world enterprise workflow examples mapped to the right pattern, including finance, IT support, compliance, and research
A four-stage maturity path for deploying agents with governance, observability, and scalability built in from the start
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