Automating Content Creation at Scale with AWS Generative AI
Successive Digital built a generative AI solution on AWS that automated article drafts, streamlined editorial workflows, and improved real-time news capabilities for Lee Enterprises’ digital media operations.
At a glance
Media & Advertising
USA
Successive Highlight
70% Reduction in Creation Time
By using Amazon Bedrock’s generative models, editorial teams automated repetitive tasks, drastically reducing manual effort and accelerating production.
20% Increase in User Engagement
Real-time AI-powered content updates improved audience relevance, driving higher subscriptions and boosting overall brand interaction.
Client & Business Challenges
Lee Enterprises, a leading digital media company in the United States, needed to scale its content production for breaking news and high-volume demands. Their manual editorial workflows caused delays, increased operating costs, and reduced opportunities for engagement and revenue. Real-time updates were especially challenging, often resulting in outdated coverage that lowered audience satisfaction. In pursuit of a modern solution, Lee Enterprises sought to automate repetitive editorial tasks, streamline article creation, and drastically shorten turnaround times. The overarching goal was to maintain content quality while accelerating production, cutting costs, and ensuring they could rapidly adapt to evolving news cycles.

The Solution
Successive Digital began by assessing Lee Enterprises’ editorial workflows, pinpointing bottlenecks in content creation and identifying opportunities for automation. Through collaborative discussions, we determined that generative AI models and cloud-based orchestration could address the company’s high-volume demands and real-time updates. Our team proposed leveraging AWS Bedrock for AI-driven article generation and Amazon Lambda for seamless workflow execution. Additionally, we designed a secure, scalable backend utilizing Amazon DocumentDB and Amazon S3 for storage, ensuring compliance and uninterrupted access to archives. By adhering to AWS Well-Architected principles, the final blueprint integrated performance, cost optimization, and robust security, empowering Lee Enterprises to handle surging content demands effortlessly.
- Generative AI Models
We integrated Amazon Bedrock’s pre-trained models to automate article drafting, summarization, and SEO optimization. This cut manual effort, allowing editorial teams to prioritize high-value tasks. By training these models on historical content, we ensured brand consistency, relevance, and improved search rankings across major digital publishing channels. Ultimately, user satisfaction soared.
- Serverless Orchestration
AWS Lambda orchestrated every stage of the content generation pipeline, from invoking Bedrock models to validating editorial guidelines. This real-time approach enabled immediate publication of breaking news, reducing latency and eliminating the need for manual triggers. The serverless model also minimized infrastructure overhead, lowering operational costs and improving deployment agility.
- Secure Data Management
Leveraging Amazon DocumentDB as the central repository ensured seamless data governance and regulatory compliance. By consolidating AI-generated articles, metadata, and version histories, teams gained real-time insights and robust auditing capabilities. Paired with Amazon S3 for long-term storage, the solution provided a scalable, highly reliable environment for comprehensive content lifecycle management.
Results Accomplished
Lee Enterprises modernized content creation with AWS Generative AI, cutting costs, boosting engagement, and accelerating editorial workflows.
Increased Efficiency
Reduced Costs
Scalable Platform
Real-Time Updates
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Successive Advantage
We design solutions that bring unmatchable customer experience to life and help companies accelerate their growth agendas with breakthrough innovation.
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