Multi-Step Workflow Enforcement

Core

Implement multi-step workflows with enforcement and handoff patterns · Difficulty 3/5

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workflowenforcementguardrailshandoff

For critical multi-step workflows, relying solely on prompts to enforce ordering is insufficient. Programmatic guardrails provide deterministic guarantees.

The Problem

Prompt-based instructions ("always verify customer first") can be ignored or inconsistently followed. Production data may show agents skipping critical steps in 10-15% of cases. When deterministic compliance is required (e.g., identity verification before financial operations), prompt instructions alone have a non-zero failure rate.

Solution: Programmatic Prerequisites

Add code-level guards that block downstream tools until prerequisite tools have completed:

def can_call_tool(tool_name, session_state):
    if tool_name in ['lookup_order', 'process_refund']:
        if not session_state.customer_verified:
            return False, "Must verify customer first"
    return True, None

Levels of Enforcement

  • Prompt only: Suggest ordering (unreliable)
  • Prompt + examples: Demonstrate ordering (better)
  • Programmatic guards: Block unauthorized calls (deterministic)
  • State machine: Full workflow engine (most robust)
  • Structured Handoff Protocols

    When escalating to human agents mid-process, compile structured handoff summaries including:

  • Customer ID and verification status
  • Root cause analysis
  • Refund amount or requested action
  • Recommended resolution
  • Human agents often lack access to the full conversation transcript, so the handoff must be self-contained.

    Key Takeaways

    • Programmatic prerequisites are more reliable than prompt-based ordering
    • Block downstream tools until prerequisites are satisfied
    • Critical workflows need code-level enforcement, not just prompts
    • Handoff summaries must be self-contained for human agents without transcript access