Objective
The primary objective of this initiative was to automate repetitive, time-intensive campaign workflows across reporting, media planning, and communication for a leading global digital media platform’s ad operations function. These workflows were largely manual, error-prone, and dependent on multiple stakeholders such as Campaign Managers, Account Strategists, and Planners.
The program aimed to:
- Standardize outputs across regions and campaigns
- Reduce turnaround time for client deliverables
- Improve accuracy and consistency in reporting
- Enable scalability without proportional increase in headcount
- Free up bandwidth for strategic and analytical tasks
Approach:
- The automation program was built around a modular, AI-assisted workflow system (Mia – Mediamint Intelligent Assistant) that integrates with campaign data sources and applies standardized templates and business logic.
Core Components
- Data Ingestion Layer
- Pulls campaign performance data (delivery, IO, audience splits, etc.)
- Integrates with internal reporting systems and APIs
- Processing & Logic Layer
- Business rules for pacing, performance calculations, and planning logic
- Template mapping for reports and decks
- Logic-assisted narrative generation where required
- Template & Output Generation
- Pre-approved templates across PDFs, PPTs, Excel, and Email outputs
- Standardized outputs across English and non-English markets
- Distribution Layer
- Ready-to-send emails, decks, and reports
- Minimal manual intervention
Impact:
- 30–50% reduction in manual effort across campaign lifecycle tasks
- Faster turnaround times (hours to minutes for reports)
- Improved consistency across markets and teams
- Reduced dependency on senior planners and analysts
- Scalable solution supporting multi-campaign workflows
Value Added
- Improved operational efficiency at scale
- Faster, standardized outputs enhancing client experience
- Supported global expansion through multi-language readiness
- Established a foundation for future AI-driven decision-making
- Delivered cost savings through FTE optimization
