Webinar Recap: How to Make AI Agents Your Best Teammates

Last week, we partnered with the Marketing AI Institute to deliver an exciting webinar as part of their AI in Action series, where we explored How to Make AI Agents Your Best Teammates. From driving new revenue to saving costs and mitigating risks, the conversation was packed with insights tailored for agencies looking to leverage AI to enhance their operations.

In case you missed it, you can watch the full webinar here. But if you’re short on time, we’ve got you covered! In this recap, we’ll highlight the key themes from the webinar and share three exclusive demo clips that bring NinjaCat’s AI agents to life.

Key Takeaways from the Webinar

The session centered on three big ways AI agents can create value for agencies:

• Make Money: AI agents like Media Mix Mary help agencies find revenue opportunities by analyzing cross-channel data, optimizing media budgets, and recommending the best allocation strategies.
• Save Money: By streamlining workflows and reducing manual effort, AI agents deliver significant cost savings. From automating reporting to optimizing ad spend and audience segmentation, agencies experience efficiency gains of 10x or more, allowing teams to do more with less.
• Mitigate Risk: AI helps agencies proactively identify underperforming campaigns, compliance issues, and data inconsistencies before they escalate. Combined with enterprise-grade infrastructure, this ensures data integrity, scalability, and operational confidence at every level.

3 AI Agents in Action

To show how these AI agents work in real-time, we demonstrated their capabilities live during the webinar. Here’s a breakdown of the highlights:

1. Media Mix Mary: Smarter Budget Decisions

Media Mix Mary is your go-to agent for optimizing media spend. In the demo, Mary analyzed a multi-channel campaign, offering actionable recommendations on where to reallocate budget for maximum ROI. This kind of analysis typically takes hours but is done in seconds with Mary—making her a powerful asset for strategic decision-making.

2. Negative Nancy: Proactively Solving Problems

Negative Nancy excels at identifying underperforming campaigns and flagging potential compliance issues before they escalate. In the webinar, Nancy showed how she keeps campaigns on track, providing agencies with peace of mind and ensuring client satisfaction.

3. Builder Bob: The Agent That Builds Agents

One of the most exciting innovations we introduced was Builder Bob, the AI agent that builds agents.

In the webinar, we demonstrated how Bob can quickly create specialized agents for specific tasks. For example, we tasked Bob with building an agent similar to Negative Nancy. Here’s what Bob did:

• Step 1: Defined the goal—identify underperforming search terms.
• Step 2: Selected the relevant data sets from hundreds stored in NinjaCat’s DataCloud.
• Step 3: Generated prompts and enabled tools needed for the task, like image generation or data scraping.
• Step 4: Allowed iterative testing and customization, making it easy to refine the agent in real-time.

Builder Bob’s simplicity and power make AI accessible—even for those without technical expertise. And if a tool or integration doesn’t already exist, Bob has help from Tim the Toolman Taylor, who builds custom tools, and Connector Builder Carl, who creates integrations to bring new data sources into NinjaCat.

Together, these AI agents create a seamless system, allowing agencies to design, deploy, and optimize their workflows without technical roadblocks.

This webinar showed just the beginning of what’s possible with AI agents. Whether it’s automating reporting, optimizing campaigns, or delivering smarter client insights, NinjaCat’s AI-powered ecosystem is ready to transform how agencies operate.

Want to learn more? Watch the full webinar replay on the Marketing AI Institute website or book a personalized demo with our team.

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