AI-First Marketing Ops System
Confidential Enterprise
Context
An enterprise marketing team spending significant time on repetitive tasks including proposal generation, content creation, and report compilation. Leadership wanted to explore AI-powered automation without sacrificing quality or brand consistency.
Challenge
Build an AI system automating high-volume marketing operations while maintaining brand consistency, enabling human oversight, and integrating with existing tools and workflows.
Approach
Designed a multi-agent system with specialised capabilities for different marketing functions, implemented RAG for brand knowledge retrieval, and built evaluation frameworks to ensure output quality.
Delivery
Agile delivery over 12 weeks with weekly demos and iterative refinement. Focus on high-value use cases first (proposals) before expanding to content and reporting.
Outcomes
70% reduction in manual effort
AI drafts with human review dramatically reduced proposal turnaround
3x content velocity
More content produced with same team size through AI-augmented workflows
Fewer review cycles
Better first drafts meant fewer revision rounds required
Stack
Timeline
12 weeks
What's Next
Expanding to additional marketing functions and sales operations integration.
Client identity is confidential. Detailed references and outcomes available under NDA.
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