Research on a Multi-SOP Interruption–Resumption Agentic Algorithm for Complex Business Workflows
TL;DR
The multi-SOP framework reduced the need for users to input the same information more than once, resulting in an 85% reduction to only 12.3, a cross-SOP recovery success rate of 96.3%, and a 73.5% successful chained task completion rate.
Abstract
: In complex business scenarios, a customer will often switch quickly among multiple SOPs. The challenge for traditional intelligent customer service systems is that they do not provide the ability to remove siloed information, retain state, and allow for intelligent recovery after interruptions when processing multiple SOPs, requiring users to restart their workflows again from the beginning. In this paper, we will describe an agentic algorithm based on a multi-SOP agentic interruption/resumption perspective. The framework consists of three core capabilities: First, dual-state decoupling separates nondeterministic cognitive decision-making (Coordinator Agent) from deterministic business execution via stateless SOP tools, reducing orchestration complexity and computational overhead. Second, a six-tuple Global State Container serves as the single source of truth for cross-SOP information transfer, enabling automatic reuse of critical business entities and silent propagation of prerequisite parameters across heterogeneous workflows. Third, a Diff Reasoning mechanism measures state discrepancies between frozen snapshots and current global memory, dynamically selecting lossless recovery or safe rollback paths to prevent semantic rollback attacks. The multi-SOP framework reduced the need for users to input the same information more than once, resulting in an 85% reduction to only 12.3, a cross-SOP recovery success rate of 96.3%, and a 73.5% successful chained task completion rate. Average end -to-end time