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Designing an Agentic AI Orchestration System for Post-Disruption Customer Recovery at a Major Airline

Mock Consulting | Case Study Project | Solution Design & Architecture
Product Analyst
Airline · IROPS · Customer Recovery

Scenario

A large airline faces massive call center overload during irregular operations (IROPS) — flight cancellations, delays, rebooking chaos. I explore this scenario as an Agentic Product Analyst designing an end-to-end AI agent solution.

Business Objective

Deploy a Netomi Agentic AI solution that autonomously handles 70%+ of IROPS-related customer contacts — including flight status queries, rebooking requests, compensation claims, and proactive outreach — while maintaining CSAT above 4.2/5.0 and reducing contact center cost per contact by 55%.

Executive Summary

SkyWave Airlines operates over 1,200 daily flights serving 85 destinations across North America and Europe. During Irregular Operations (IROPS) events — which include weather disruptions, mechanical delays, crew shortages, and air traffic control holds — the airline's contact center experiences a 400–600% surge in inbound customer contacts within 60–90 minutes. The current model relies almost entirely on human agents, resulting in extended hold times averaging 47 minutes, customer defection to self-help channels, and significant compensation costs driven by unmanaged expectations.

Open Executive Presentation (PDF)

Key Deliverables to Produce

1. Discovery & Requirements Document

  • Stakeholder map (CX Ops, Engineering, Legal/Compliance)
  • Current-state process pain points
  • KPIs defined: containment rate, CSAT, average handle time, rebooking speed
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2. Agentic Workflow Blueprint

  • Visual flowchart of agent decision logic (intents → actions → escalation paths)
  • Guardrails and fallback conditions
  • Human-in-the-loop triggers
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3. Integration Architecture Diagram

  • API touchpoints: GDS (flight inventory), PNR system, CRM, ticketing (e.g. Zendesk), SSO
  • Event-driven triggers (e.g. flight status webhooks → agent activation)
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4. Agent Behavior Specification

  • Intent library (rebooking, refund, compensation, status inquiry)
  • Sample conversation flows with decision branching
  • Tone/persona guidelines
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5. Test Plan & Acceptance Criteria

  • Scenario matrix (cancellation, delay, missed connection, weather event)
  • Success thresholds per scenario
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Core Skills

Product Analysis Solution Architecture API/Systems Integration Agentic Workflow Design Generative AI Customer Experience

Domain

Irregular Operations (IROPS) Contact Center Automation Rebooking & Compensation Proactive Outreach