"Teams of AI agents working together" ― The Sci-Fi Future Being Built RIGHT NOW

Teams of AI Agents Working Together ― The Sci-Fi Future Being Built RIGHT NOW

Welcome to the latest edition of our podcast! Today, we have an engaging conversation lined up with some expert guests, including Tatiana from Wayfound AI, who will shed light on the fascinating world of AI agents. These agents are transforming the way we approach enterprise solutions and creative disruptions in business. So, let's dive right into the conversation with Tatiana and her co-founder, Chad, from Wayfound AI.

What Exactly is an AI Agent?

AI agents are akin to digital workers who possess two critical capabilities. First, they can interact with other employees through various modalities, much like a chat bot. Second, these agents can be trained, given access to systems, and take autonomous actions. Essentially, they act as human-like workers but operate as intelligent digital entities. The term "agent" is rooted in the principal-agent problem, where human employees act as principals while the AI agents serve as subordinates with autonomous decision-making abilities. Moreover, these agents have what we call "agency," which means they can make decisions and generate insightful recommendations independently.

Wayfound AI: Revolutionizing Enterprise AI

Tatiana and Chad's company, Wayfound AI, offers a compelling value proposition. They provide an end-to-end platform for managing AI agents, focusing on building trust and improving the reliability of these agents in real-time business applications. This comprehensive management process includes onboarding, training, supervision, monitoring, and feedback, making AI agents trustworthy and operational for business-critical tasks.

The Problem: Naive Interns, Not Expert Workers

One issue that's becoming increasingly evident is that AI agents are often compared to smart but naive interns rather than expert workers. Early adopters, who expected high-level expertise, found themselves dealing with immature AI systems that made frequent mistakes. Wayfound AI addresses this challenge by offering a robust platform that turns these "interns" into reliable and trusted agents.

New Customer Experiences

Wayfound AI focuses on creating new customer experiences rather than just cutting costs. Chad mentions that the future is not about substituting AI for human labor but unlocking creative disruptions by offering fundamentally new capabilities. For instance, Wayfound AI helps companies serve customers better, especially those who might otherwise be neglected due to limited human resources.

Trust & Intelligence

Tatiana emphasizes the need to trust the intelligence of AI agents. Companies need platforms that provide observability, monitoring, feedback, and supervision to rely on AI for business-critical operations. Wayfound AI offers exactly that, enabling organizations to innovate and develop new customer-facing products confidently.

Addressing the Elephant in the Room: Enterprise-Ready AI

Years of experience in fields like cloud adoption have highlighted that technological advancements often meet resistance due to concerns over security, compliance, and other enterprise needs. Open-source models may seem cost-effective at first glance, but the total cost of ownership can be higher when you factor in security, compliance, and scalability. Wayfound AI provides a fully-managed, secure, and compliant solution that bridges this gap.

The Future: Network Intelligence

The conversation highlights how AI agents will collectively form an intelligence network. This network will enable agents to interact with each other, thereby solving complex problems more efficiently. The notion of reasoning—allowing AI to decide the sequence of actions autonomously—is a significant step forward.

Mission-Oriented Programming & Organizational Learning

Tatiana points out that Wayfound AI's Manager Model supervises agents, ensuring they align with the broader business values and ethics. This results in mission-oriented programming where AI agents deliver solutions that reflect the organization’s culture and values.

The Road Ahead: Open Agent Alliance

Chad discusses the Open Agent Alliance, aiming to create shared protocols and standards for AI agent networks. This initiative will enable global intelligence networks, making AI more accessible and valuable across different contexts.

Conclusion

The podcast ends with a futuristic yet achievable vision: a world where AI is deeply integrated into every facet of life and business, offering new experiences and solving problems in unprecedented ways.

Keywords

• AI Agents
• Enterprise AI
• Wayfound AI
• Trust and Intelligence
• Customer Experience
• Network Intelligence
• Mission-Oriented Programming
• Open Agent Alliance

FAQ

1. What is an AI agent?

• An AI agent is a digital worker capable of interaction and autonomous decision-making, similar to a human employee but within a digital framework.

2. What makes Wayfound AI different?

• Wayfound AI offers a comprehensive platform for managing AI agents, focusing on trust, reliability, and business-critical operations, rather than merely cutting costs.

3. What problem does Wayfound AI solve?

• Wayfound AI helps transform naive AI systems into robust, trusted agents capable of delivering new customer experiences and operational efficiencies.

4. What is the role of the Manager Model in Wayfound AI?

• The Manager Model supervises and manages AI agents, helping them align with organizational values and making mission-oriented programming possible.

5. What is the Open Agent Alliance?

• The Open Agent Alliance is an initiative aimed at creating shared protocols and standards to enable networked intelligence across different sectors and geographies.

6. How does Wayfound AI address enterprise-ready AI concerns?

• Wayfound AI offers a secure, compliant, and fully-managed platform, addressing common concerns like security, compliance, and scalability.

7. What is the significance of network intelligence in AI?

• Network intelligence enables AI agents to interact and solve complex problems more efficiently, going beyond individual capabilities and leveraging collective intelligence.