The authors formalized interaction risk around organizational properties that multi-agent workflows must preserve.
Enterprise agent risks emerge when local decisions break shared constraints
EAIR uses executable workflow simulations and execution traces to identify, repair and retest failures arising between specialized LLM agents.
Big Tech
Yuchen Ma · Swadheen Shukla · Paulo Salem · Yue Huang · Robert Sim · Stefan Feuerriegel · +2 more
LMU Munich · Microsoft · University of Notre Dame
Research Digest··2 min read
Ma and colleagues present EAIR, a framework for evaluating risks that emerge when enterprise LLM agents with different roles, permissions and information interact.
Why this paper
From Microsoft and 2 others
In one line
EAIR provides the first framework for diagnosing and repairing interaction failures in enterprise multi-agent systems.
What we could check
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