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arXiv cs.AI
8/10

SOP Drift Monitor

A live watchdog that watches your deployed AI agent's conversations and alerts you the moment it starts ignoring a standing SOP — for example, promising a refund the policy forbids.

Target user

Customer support and operations leaders running AI agents in production for ticket triage, billing, or scheduling

Features
  • Real-time scoring of every agent reply against an uploaded SOP, with severity tiers (warning, violation, escalation)
  • Side-by-side view of the agent's reply and the policy line it conflicts with
  • Weekly 'compliance drift' report showing which policies the agent is most tempted to break
  • Direct routing of severe violations to a human reviewer before the customer sees the bad reply
Why now

The HANDBOOK.md paper specifically shows agents lose rule details over long horizons and report compliance they didn't actually achieve — exactly what ops teams fear.

Signals · overall 8/10
Demand
7/10

Benchmark authors explicitly flag 'reporting compliance they did not achieve' as a dominant failure mode — a sales-ready finding.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize

Whitespace
9/10

Current 'AI observability' tools watch for hallucinations and latency; 'watch for SOP violations' is a distinct, mostly empty niche.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize

Monetization
8/10

Support and ops leaders already pay for conversation intelligence (Gong, Calabrio); a compliance overlay is an easy add-on.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize

Longevity
9/10

Every regulated industry (health, finance, insurance) will need this for the foreseeable future of agent deployment.

Feasibility
7/10

Buildable using an LLM judge plus simple rule extraction from the SOP; demo in days, enterprise-ready in months.

HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction FollowingarXiv cs.AI · 2026-07-29 (today)