Marketing AI Agent for content management & social media posting with UiPath

Client: leading European marketing agency
Industry: Marketing & Advertising
Department: Marketing
Region: Europe
Platform: UiPath, OpenAI, Gemini, Claude, Copilot, Microsoft Designer AI, AiSocials, Writer.com, and AI humanizer

faster content creation process
reduction in manual errors
improvements in engagement

Challenges

Our client, a leading digital marketing agency, managing multiple WordPress sites and social media accounts, faced inefficiencies in content management and social posting workflows. The team struggled with repetitive and time-consuming tasks that were essential for maintaining consistent content delivery.

Manually creating WordPress (WP) posts to maintain fresh content consumed significant time and effort. Plus, marketers were tasked with the tedious tasks of generating keywords, categories, meta descriptions, pictures, and videos for each post. Another inefficient hand-operated process, diverting the focus of the marketing team from more strategic initiatives, was creating posts across multiple social media like Facebook and Pinterest. The process of adjusting posts with varied formatting for each platform was taking up far too much time.

These hurdles highlighted an opportunity to streamline their workflows. The agency required a solution to automate these repetitive tasks, as their goal is to allow their team to refocus their efforts on high-value activities and increase time for creativity. 

Solution

AI agent for content management & social media posting

UAI Labs implemented an AI agent, built on the UiPath platform, to automate this entire process. We combined advanced AI tools—including OpenAI, Gemini, Claude, Copilot, Microsoft Designer AI, AiSocials, Writer.com, and AI Humanizer—to create a robust system capable of managing WordPress content creation, visual generation, social media publishing, and everything in between.

This agentic AI solution was developed to replace manual work with autonomous agents that can perform, adapt, and scale across multiple marketing functions. From generating posts to scheduling them and optimizing content, the AI agents automate every step, allowing marketers to focus on creativity, strategy, and campaign outcomes.

How does it work?

Our team developed an AI agent utilizing UiPath. It continuously monitors a centralized Excel sheet where marketers enter essential details such as keywords, topics, and content parameters. Once new data appears, the agent automatically generates text and metadata using generative AI tools, such as OpenAI, Gemini, Claude, and Copilot. Then, the AI agent refines it via Writer.com and an AI “humanizer” to maintain an engaging, authentic tone. This ensures SEO-optimized, non-duplicative posts.

Next, for each post, the AI marketing agent taps into the Microsoft Designer AI-powered tool to produce on-brand visuals based on the same prompts and downloads the images. Then the AI agent transitions them to AI Social to generate short-form videos derived from the content. This process ensures that each post has relevant visuals, enhancing user engagement and saving time.

Throughout each phase—content creation, image generation, video production, and publishing—an RPA-driven process autonomously updates the Excel sheet with statuses, giving the marketing team real-time visibility. This way, marketers stay informed on progress.

After that, the AI agent formats and publishes the completed assets across assigned social platforms, ensuring tailored content for each, including optimal image sizes, hashtags, and text formats using the AiSocials AI tool.

On top of that, to make certain that the created content is high quality, we implemented a robust error-checking mechanism. It ensures that any issues are flagged for review, maintaining 100% accuracy. The automation we developed presents an end-to-end agentic automation solution that requires minimal human intervention, makes decisions, and continuously improves its performance.

Shown below is a visual representation of how the solution works, highlighting the journey from a manual, pre-automation process to an efficient, automated one.

Technical details

To ensure the success of the agentic automation solution, UAI Labs paid close attention to technical details, facilitating a seamless transition and optimal outcomes. Here’s a breakdown of the main areas addressed and the solutions applied:

Previously, manually generating one post for social media took over 20 minutes, leading to more than 4 hours spent daily by every worker on content creation and posting, if making it consecutively. This inefficiency slowed down marketing efforts, delayed consistent publishing, and limited the team’s ability to run a scalable marketing campaign.

We integrated an AI-powered agent designed for this digital marketing task that automates and optimizes content writing. The AI models were adapted to work in parallel, allowing 10+ posts to be generated at once. This significantly reduces the time required for post-creation, freeing up more capacity for their team. The solution ensures faster, scalable, and high-quality content output across multiple social platforms.

It was necessary to ensure that the generated video was clean of any “bad frames,” as they reduced the overall quality and made the video less user-friendly. These frames negatively impacted the viewing experience, requiring extra effort to identify and correct them.

To address the issue, we developed an algorithm that detects and removes these frames from the final video. This ensures smoother playback and improves the overall quality of the video for a better customer experience across marketing campaigns.

Results

Time Savings

By implementing AI agents to handle these marketing tasks, the team reduced manual effort from hours to minutes. This shift to 10x faster content creation freed up employees to focus on creative and strategic activities, amplifying the value of human input in marketing and sales.

Improved Engagement

With autonomous agents managing post scheduling and timing optimization, the company maintained consistent social media activity. As a result, audience reach and engagement grew by 23% for their clients, improving the effectiveness of digital marketing campaigns.

Enhanced SEO

Automating metadata generation and keyword optimization enhanced compliance with SEO best practices. This resulted in a 16% increase in site traffic on average for every client of the agency, reinforcing the company's digital strategy.

Better Accuracy

The AI agent ensured a 100% reduction in manual errors. The system’s built-in error-checking mechanisms guarantee that all content meets quality standards before publishing. This minimized rework and delays while improving publishing confidence across all marketing channels.

Hence, UAI Labs’ agentic AI solution reshaped the client’s marketing effectiveness, marking a milestone in their digital transformation journey. Unlike traditional automation, the AI agents present a next-level intelligent automation that can make decisions, learn from feedback, and adapt to evolving marketing needs. By implementing AI marketing agents across content generation, scheduling, and quality control, the company gained a scalable, high-performing system that supports long-term marketing objectives.

This case proves how AI agents can automate end-to-end processes to support the execution of marketing strategies—making them an essential part of the modern enterprise marketing stack.

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