How Business Leaders Can Strategically Integrate AI Agents

By Brando Murphy, CMO of DeepLink Protocol

Businesses are on the brink of a transformative shift with the rise of AI agents—digital entities capable of performing tasks and making decisions autonomously. However, leaders must approach integration with a clear strategy rather than chasing trends.

Why AI Agents Matter

AI agents excel at handling repetitive tasks like scheduling, data sorting, and email management, freeing employees to focus on creative and strategic work. The true potential lies in augmenting human capabilities, not replacing them. For example, DeepLink Protocol uses AI agents in cloud gaming to observe and replicate player behavior, assisting streamers with monetization and content creation.

Challenges and Realities

Despite the hype, AI agents are still in early stages:

• Limited autonomy: High-stakes tasks like day trading or strategic planning remain risky for AI.
• High costs: Development ranges from $5,000 to $20,000+, requiring justified ROI.
• Misaligned priorities: Many companies adopt AI without defining its purpose, leading to wasted resources.

Practical Steps for Integration

Leaders should start by asking:

1. What problem are we solving? Define whether the goal is task automation, scaling content, or improving decision-making.
2. Align with business needs: For instance, DeepLink’s video learning model (VLM) was built only after clarifying the agent’s role in gameplay enhancement.

The Future of AI Agents

Thoughtful integration can accelerate productivity and redefine workflows. As the technology matures, businesses that adopt AI agents with purpose will gain a competitive edge.

For more insights, explore the Forbes Technology Council, an invitation-only community for top tech executives.