Creating AI Agents: The Future of Work is Here

Wondering how to use AI agents to enhance your work? Not sure where to start?

In this article, you’ll discover examples of how AI agents are already transforming customer service, sales, and operations and learn how to stay ahead of this revolutionary change.

How AI is Changing the Way We Work and Do Business: The Agentic Revolution

AI is democratizing technology access in unprecedented ways. “This revolution is a thousand X what the internet is,” Kanungo emphasizes. To illustrate this point, he shares his experience running a mobile app development company while at Deloitte.

“When I went through that process, I'd had to do the UI, the UX, the marketing, the QA testing, all the development, either myself or outsourcing people using Upwork and all these different sites,” Kanungo recalls. These projects would typically take months or even a year to complete.

AI has dramatically compressed that timeline. Tasks that once required months can now be accomplished in days or hours at a fraction of the cost.

Kanungo believes that in this new landscape, creativity becomes the critical variable. “In an AI world, when anybody can create content, where anybody can create an image or a video or written content, creativity becomes the variable,” he explains. 

This shift has profound implications for marketers and entrepreneurs.

What Are AI Agents

AI agents are simply systems that mimic humans. They enable customers or employees to solve problems and take action through natural conversational experiences—all done autonomously.

An agent can be an external customer-facing or internal peer-facing entity that automates existing processes. 

This versatility makes AI agents applicable across various business functions, and their capabilities are expanding rapidly. 

For example, Claude, an AI assistant from Anthropic, recently demonstrated Computer Use which the ability to take over computer operations in a virtual environment. While still in the early stages, this points to a future where AI agents could handle complex tasks across multiple systems and applications.

For example, imagine a time when no human has to touch a CRM. Today, a human has to enter or retrieve information from these systems. AI agents could soon eliminate this friction.

What the Agentic Revolution Means for Marketers

For marketers, these changes present both opportunities and challenges. The democratization of content creation means that standing out will require more than technical proficiency with AI. It will also demand genuine human creativity and innovation.

Marketers should focus on building their “AI muscle” by experimenting with these tools in controlled environments. This hands-on experience helps develop practical skills and provides insight into potential risks and limitations.

AI agents can handle routine tasks, analyze data, and generate initial content drafts, freeing marketers to focus on strategy, creativity, and building authentic connections with their audience.

#1: Get Started with AI Agents

If you're ready to implement AI agents in your business, document your processes and identify repetitive, time-consuming, and rule-based tasks. These make ideal candidates for automation.

Then, set up a sandbox testing environment to test your automation in a controlled setting without impacting your core operations. While this may sound overly technical, it can be as simple as using separate email accounts or CRM instances for testing.

To build an automation, try Lindy.ai, a platform that makes AI agent creation accessible even to non-technical users. The platform offers pre-built integrations with common business tools and “recipes” for standard workflows.

Next, identify a challenge in your work to automate. 

Once you've proven the concept, gradually expand to other processes, always maintaining clear governance policies and security measures.

Use Case Examples: AI Agents for Email Management

One of Kanungo's workflows involves email management. When an email arrives in his inbox, an AI agent enriches it with additional information about the sender, stores relevant details in his CRM, and creates a response that waits for him in an email drafts folder. While he's not yet comfortable letting the AI send emails autonomously, this workflow significantly reduces his daily email burden.

Another example involves meeting management. The AI agent connects to his calendar, transcribes meetings, summarizes the conversations, and creates draft follow-up emails. These automated workflows free up significant time for higher-value activities.

#2: AI Agent Implementation Considerations

While implementing AI agents offers tremendous potential, Kanungo identifies several key challenges organizations must address. 

First is the issue of governance. You don't want people across the organization to have separate accounts because that can be expensive and lead to consistency issues. The solution is to establish clear governance policies and centralize control of AI tools. This might mean having a single account or designated person managing these resources across the organization.

Another consideration is the potential for AI hallucinations–instances where AI generates incorrect or inconsistent information. This is where rules and structure come into play. “AI is not good without rules,” Shawn explains, noting that many organizations are implementing techniques like Retrieval Augmented Generation (RAG) to make their AI systems more reliable.

RAG retrieves information from internal documents and sources before generating responses, helping ensure accuracy and consistency. While this technology might be beyond the reach of smaller organizations today, it shows how the field is evolving to address current limitations.

Finally, stay informed about new developments in the field. The AI landscape is evolving rapidly, and keeping up with changes will help you identify new opportunities for automation and improvement.

#3: The Future of AI Agents: Coming Soon

Looking ahead to 2026, Kanungo predicts that every organization will implement at least one AI agent. However, he's careful not to overhype the timeline. “I don't want to overhype where we are in this agentic revolution,” he says, using the technical term for the emergence of AI agents.

While he believes that eventually, we'll see “one-person, billion-dollar organizations” powered by AI digital workforces, he estimates it will take about five years to reach that point. The technology needs time to mature, and organizations need time to adapt.

However, certain developments are coming soon. In the near term, customer service will likely be transformed, with AI agents handling initial contact across voice, chat, and email channels. Healthcare could see similar changes, with AI agents conducting initial patient consultations and triage.

The integration of advanced voice and video capabilities is particularly exciting. Recent developments like OpenAI's ability to describe live video feeds and engage in natural conversation point to a future where AI agents can interact with the physical world in increasingly sophisticated ways.

Other Notes From This Episode

• Connect with Michael Stelzner @Stelzner on Facebook and @Mike_Stelzner on X.
• Watch this interview and other exclusive content from Social Media Examiner on YouTube.

Where to subscribe: Apple Podcasts | Spotify | YouTube Music | YouTube | Amazon Music | RSS

✋🏽 If you enjoyed this episode of the AI Explored podcast, please head over to Apple Podcasts, leave a rating, write a review, and subscribe.

---

Stay Up-to-Date: Get New Marketing Articles Delivered to You!

Don't miss out on upcoming social media marketing insights and strategies! Sign up to receive notifications when we publish new articles on Social Media Examiner. Our expertly crafted content will help you stay ahead of the curve and drive results for your business. Click the link below to sign up now and receive our annual report!