AI-Driven Media Operations Platform on AWS Cloud

We engineered an AI-powered, multi-tenant control plane unifying brief intake, taxonomy governance, planning, buying, and reporting - replacing fragmented workflows for a global media agency network.

At a glance

Industry

Media & Entertainment

Location

Global

Successive Highlight

40- 60%

Reduction in campaign setup time

100%

Audit trail across every approval and state change

About the Client

The client is a global independent media agency network managing high-volume, multi-channel campaigns for Fortune 500 brands across digital, linear, and emerging channels. Operations span planning, buying, trafficking, and analytics. The organization required a governed, AI-augmented platform to consolidate fragmented workflows, accelerate launches, and offer transparent visibility to its own enterprise clients.

Challenge

The client’s operations spanned briefs in documents, plans in planning tools, buying in buying tools, and reporting in dashboards – with manual handoffs and inconsistent taxonomy at every stage. Naming inconsistencies created reporting breaks and audit failures. Onboarding new clients took weeks. The agency required a governed AWS-native control plane that connected its existing stack and unified the full campaign lifecycle.

Solutions Implemented

We built a multi-tenant, AWS-hosted platform leveraging Amazon Bedrock, AWS Lambda, ECS Fargate, API Gateway, and Step Functions – embedding AI-driven brief processing, taxonomy enforcement, and integrated analytics across the campaign lifecycle.

AI-Driven Media Operations Platform on AWS Cloud

AI Brief Intake

An Amazon Bedrock and AWS Lambda engine parses PDFs and forms, extracting objectives, budget, targeting, and flight dates while flagging missing fields automatically.

Taxonomy Governance Engine

A centralized master catalogue maintains canonical channels, partners, and fields, validated through ML-driven vocabulary services and distributed to every connected platform automatically.

Bidirectional Onboarding

Existing client setups are pulled, confidence-scored, and auto-mapped against master records using ML classification - compressing onboarding from weeks to hours.

Governed Buying Operations

Approved line items become platform-ready payloads pushed via Amazon API Gateway to buying tools, ad servers, and audience platforms with full audit linkage.

Snowflake Analytics Pipeline

A data engineering pipeline through AWS Glue and Amazon S3 lands delivery, performance, and trafficking data into Snowflake for embedded analytics and reporting.

Outcome

Fragmented Operations Replaced With One Governed AI-Driven AWS Control Plane

Campaign setup time reduced by 40–60% through AI-assisted brief intake and one-click activation across connected platforms and audience networks.

Taxonomy errors driven to near-zero through ML-validated vocabulary, system-enforced naming standards, and cross-tool ID synchronization across every connected platform.

New-client onboarding compressed from weeks to hours through bidirectional sync, ML-driven auto-mapping, and one-click master configuration rollouts at scale.

Immutable, attributed audit trail across every brief, plan, approval, and activation - supporting compliance reporting, governance reviews, and client transparency.

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