
AirAsia scales marketing content with agent-led workflows
Faster turnaround
Higher accuracy
Scalable system
About the Company


The Problem Statement


Slow SEO planning
Manual keyword research through third-party tools delayed topic ideation and reduced consistency in content planning.


Accuracy risks
Live travel data in AI-generated drafts risked outdated or incorrect details, requiring significant human fact-checking.


Fragmented workflow
Ideation, drafting, formatting, and visual tagging were split across tools, creating bottlenecks and reducing scalability.
How LYZR Solved It ?
✓ Modular agents
- Each stage- ideation, research, outlining, drafting, formatting, image tagging - handled by a dedicated AI agent.
- GCP services like Cloud Run, Firestore, and Firebase ensured scalability, security, and low maintenance.
- Marketers defined topics and reviewed final drafts, keeping editorial control intact.
- AI generated SEO-ready alt text, captions, and tags for all visuals.
- Research and sufficiency agents validated facts before drafting.
The Outcome


Faster turn around
Article production time reduced significantly, eliminating manual delays in research, outlining, and formatting.


Higher accuracy
Fact-checking agents minimized outdated or incorrect information, increasing trust in AI-generated drafts.


Scalable system
The repeatable workflow allowed quick replication for new topics without starting from scratch.
How Lyzr handled security?


Data Residency
All change management data remains securely within NTT Data’s Azure cloud, ensuring 100% ownership and compliance with regional data laws.


Compliance
The Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, supporting enterprise-grade data handling and privacy.


Reflection Module
Lyzr’s reflection system minimizes model hallucination, ensuring high-accuracy, reliable recommendations in critical workflows.
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