AI and Technology in Financial Services

Best Practices for Training and Optimizing Digital Agents

Digital agents are only as effective as the training and optimization they receive. To ensure that AI-powered digital agents perform at their best, businesses need to follow best practices for training and continuously optimizing these agents. In this blog, we’ll explore key strategies for training digital agents, monitoring their performance, and making ongoing improvements to ensure they deliver personalized, effective customer interactions.
Picture of Ilan Flax

Ilan Flax

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Best Practice 1: Start with a Clear Understanding of Your Use Cases

The first step in training digital agents is to have a clear understanding of your business’s specific use cases. Whether the digital agents will be used for customer service, lead generation, or sales support, defining the core tasks they will handle is essential for effective training. By focusing on specific use cases, businesses can ensure that the digital agents are trained to perform tasks that align with their goals.

Leumi Bank’s use of Insait’s digital agents to handle the savings account origination process is an excellent example of this. By training the agents to focus on this specific use case, Leumi was able to achieve an 81% conversion rate and streamline the customer journey.

Best Practice 2: Train Agents Using Real Customer Data and Scenarios

Training digital agents using real customer data and scenarios is key to ensuring that they deliver accurate and personalized responses. AI-powered agents learn best when they are trained on real-world interactions, allowing them to better understand customer behavior and preferences. By using actual data, businesses can ensure that their digital agents are prepared for the types of conversations they will encounter.

For example, Bruntwork trained Insait’s digital agents using real lead qualification data, which helped the agents better identify qualified leads. This resulted in a 30% conversion rate and a 50% increase in website engagement, demonstrating the importance of using real data in the training process.

Best Practice 3: Monitor Performance Metrics Regularly

Once the digital agents are live, it’s essential to monitor their performance regularly to ensure they are meeting business objectives. Key metrics to track include customer satisfaction, response accuracy, and conversion rates. By monitoring these metrics, businesses can identify areas where the agents may need further training or optimization.

Service Seeking’s experience with Insait’s digital agents highlights the importance of monitoring performance. By tracking metrics such as the number of completed job openings and support tickets, Service Seeking was able to refine the digital agents’ training and improve overall performance, resulting in a 33% conversion rate.

Best Practice 4: Continuously Optimize Based on Customer Feedback

Customer feedback is a valuable resource for optimizing digital agents. By collecting and analyzing feedback from customers, businesses can identify areas for improvement and make data-driven adjustments to the agents’ responses. This continuous optimization ensures that the digital agents remain relevant and effective over time.

Midwest Bank Centre used customer feedback to continuously optimize its digital agents, which were used in personalized marketing campaigns. By adjusting the agents’ messaging based on real-time customer feedback, the bank was able to increase its interaction rate by 400% and generate $5M in deposits.

Best Practice 5: Update Digital Agents to Reflect Changes in Business Goals

As business goals evolve, it’s important to update the training and capabilities of digital agents to reflect these changes. Whether a business is launching new products, expanding into new markets, or adjusting its customer service strategy, digital agents should be updated to ensure they continue to meet the needs of the business.

Leumi Bank continuously updated its digital agents to reflect changes in its savings account origination process, resulting in ongoing improvements in conversion rates and customer satisfaction. By keeping the agents aligned with business goals, Leumi ensured that they remained an integral part of the customer journey.

Conclusion

Training and optimizing digital agents is an ongoing process that requires careful planning, regular monitoring, and continuous improvement. By following best practices such as using real customer data, monitoring performance metrics, and optimizing based on feedback, businesses can ensure that their digital agents deliver personalized, effective interactions that drive customer satisfaction and business success. The success stories of Leumi Bank, Bruntwork, Service Seeking, and Midwest Bank Centre illustr…



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