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From Workflow Automation to Capability Closure: A Formal Framework for Safe and Revenue-Aware Customer Service AI

arXiv cs.AI / 3/18/2026

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Key Points

  • The paper introduces a formal framework to ensure safety in networks of specialized AI agents for customer service, addressing safety gaps when agents are composed to perform complex tasks.
  • It argues that moving from single-agent chatbots to multi-agent workflows spanning billing, service provision, payments, and fulfilment creates new safety and coordination challenges.
  • It defines the notion of capability closure and shows how two individually safe agents can, through emergent conjunctive dependencies, achieve a forbidden goal.
  • It emphasizes aligning safety with revenue considerations to enable safe, revenue-aware customer service AI deployments.

Abstract

Customer service automation is undergoing a structural transformation. The dominant paradigm is shifting from scripted chatbots and single-agent responders toward networks of specialised AI agents that compose capabilities dynamically across billing, service provision, payments, and fulfilment. This shift introduces a safety gap that no current platform has closed: two agents individually verified as safe can, when combined, reach a forbidden goal through an emergent conjunctive dependency that neither possesses alone.

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