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FREE B2B OPERATIONS BLUEPRINT

Turn messy customer requests into structured, validated quotes.

See the architecture, extraction logic, validation guardrails and deployment checklist behind a practical AI Shadow Pipeline for B2B operations.

Extraction prompt structure Margin & validation guardrails Human approval workflow 3 practical test scenarios
View the Blueprint
B2B SHADOW PIPELINE
INBOUND REQUEST

“Need 50 valves and 200m of hose delivered next Friday.”

ExtractItem · Qty · SKU
ValidatePrice · Margin · MOQ
ApproveHuman review
Ready for approval
SYSTEM ARCHITECTURE

The five-step Shadow Pipeline

Use this as the operating model before choosing tools or integrations.

01

Capture

Email, WhatsApp, forms, audio transcripts, spreadsheets or documents.

02

Extract

Items, quantities, SKUs, urgency, deadlines and delivery constraints.

03

Validate

Price table, minimum order, margin rules, stock and missing information.

04

Human Approval

Escalate exceptions, discounts and sensitive decisions before execution.

05

Sync

Send approved structured data to the CRM, ERP, spreadsheet or internal system.

EXTRACTION LOGIC

Never guess what the customer did not specify.

The extraction layer should only capture explicit information. Ambiguous quantities or unidentified products are flagged for clarification instead of being invented.

{
  "urgency_level": "MEDIUM",
  "items": [
    {
      "item_description": "Heavy Duty Valve",
      "quantity": 50,
      "matched_sku": "VALVE-HYD-02",
      "status": "VALID"
    }
  ],
  "internal_alerts": null
}