Question 1

1. Which platform is easiest to deploy with a small support ops team?

Accepted Answer

Microsoft Copilot stands out as a straightforward option for small support operations teams. Thanks to its low-code approach and smooth integration with Microsoft 365 and Power Platform, it’s user-friendly even for teams without advanced technical skills. Unlike Vertex AI or OpenAI Enterprise, which often demand more technical expertise and resources, Copilot is designed for quick and hassle-free deployment. This makes it a practical choice for smaller teams that lack the capacity for extensive infrastructure setup or custom development.

Question 2

2. How do you ensure multi-step AI workflows remain reliable in production?

Accepted Answer

To maintain reliable multi-step AI workflows in production, it's crucial to design them with error-handling mechanisms that can manage issues without disrupting the entire process. Incorporating fallback systems ensures the workflow can continue operating even when an error occurs. Validation methods are essential for catching inaccuracies early and maintaining data integrity throughout the process.  Regularly monitoring key performance metrics, such as accuracy and escalation rates, allows you to identify areas for improvement and make timely adjustments. Additionally, a modular and flexible architecture simplifies updates and troubleshooting, helping workflows remain efficient and effective in practical, real-world applications.

Question 3

3. What should I track to predict and control AI support costs?

Accepted Answer

To get a handle on AI support costs, focus on tracking a few critical metrics. Start with the automation accuracy rate, which shows how effectively the AI handles tasks without making mistakes. Then, look at support ticket deflection to see how many inquiries the AI resolves on its own, reducing the need for human intervention.  It's also important to keep an eye on model grounding and hallucination control to ensure the AI provides accurate and reliable responses. Beyond that, evaluate workflow efficiency to identify bottlenecks, check scalability to see how well the system can handle growth, and review escalation handling to make sure complex cases are managed properly. Together, these metrics can help you fine-tune performance while keeping costs in check.

We Compared OpenAI Agents, Vertex AI, and Copilot in Real Support Workflows

Want to learn how

you can keep up with the latest trends and innovations in AI for knowledge-base management?

We Compared OpenAI Agents, Vertex AI, and Copilot in Real Support Workflows

Want to learn how

you can keep up with the latest trends and innovations in AI for knowledge-base management?

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