Frequently Asked Questions

What customer support channels do you support?

Applied Labs is omnichannel - we support all channels your customer may need to reach you through including web, email, SMS, phone, and mobile apps.

How can AI responses be personalized based on user data?

User metadata can be passed to the AI, allowing for personalized responses based on factors like login status, user type, or other relevant information from any of your data sources.

What is the process for escalating conversations to human agents?

Escalation occurs when the AI cannot adequately answer a question or when sensitive topics arise. We integrate with your existing ticketing systems (e.g., Zendesk, Salesforce, Slack) to create tickets or facilitate live chat seamlessly.

How does the AI learn from our knowledge base?

We integrate with various data sources, including help centers, knowledge bases, and internal databases. The AI digests this information to answer future queries. We also leverage historical tickets and real-time API data to generate comprehensive responses.

How can we improve the AI’s performance over time?

Our advanced analytics and evaluation tools allow for instant feedback and knowledge updates. They provides insights and tools to identify areas for improvement, ensuring continuous learning from new conversations and agent input.

What metrics are available for monitoring AI performance?

We track industry-standard metrics for conversations, customer satisfaction, deflection, and resolution. Additionally, we offer AI-powered insights previously unavailable with traditional analytics.

Can you assist our human agents in improving efficiency?

Yes, we offer agent-assist products that integrate with your existing ticketing platforms. These tools help agents access relevant information and draft suggested answers, improving efficiency and allowing focus on high-level tasks.

What if we have limited engineering resources?

We are committed to handling any necessary engineering work to customize and implement the optimal solution for your team, regardless of your internal technical resources.

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