Ansvery provides professional customer support managers to its clients, helping them handle inquiries efficiently without needing to hire their own in-house support teams.

As Ansvery's client base grew, they started facing challenges:

• Slow response times: The increasing number of inquiries made it difficult for the team to respond quickly.
• High costs: They needed to hire more people to keep up with the growing workload.
• Service quality: Maintaining high-quality service was becoming harder.
• Handling negative inquiries: Dealing with unhappy customers required extra attention.

At WhiteBox AI, we developed a solution to automate a large part of Ansvery’s support tasks using artificial intelligence.

Here’s what we did:

Automated Search and Response Preparation:

• Upon receiving a new inquiry, the system automatically analyzes the request.
• Searches the knowledge base for the most relevant answer or solution.
• Generates a personalized response for the customer.

Sentiment Analysis:

• The model determines the emotional tone of the customer's message (positive, neutral, negative).
• Enables a tailored approach to different customer sentiments.

Dynamic Inquiry Routing:

• Automatic Reply: If the customer is positive or neutral, the system sends the prepared response automatically.
• Escalation to Manager: If a negative sentiment is detected, the inquiry, along with a summary and a pre-drafted response, is forwarded to an experienced manager for personal handling.

The Ansvery project demonstrates how AI automation from WhiteBox AI can tackle real business challenges, streamline operations, and reduce costs, all while improving service quality. We're focused on making advanced technology practical and beneficial, ensuring measurable value for every client.