Written by: Lauren Simonton
Every contact represents someone who needs assistance. Whether they are seeking information, sharing a concern, or navigating a sensitive situation, the quality of the interaction matters. At Startel, our approach to artificial intelligence begins with supporting the people who make those connections possible. StartelAI is designed to enhance human capabilities, helping contact centers bring technology and personal service together.
Supporting Agents Through Technology:
Contact center agents balance listening, finding information, documenting conversations, and responding to customer needs. Our approach focuses on how technology can support these responsibilities while preserving the personal attention customers value.
StartelAI Agent Assist provides real-time suggestions and information during calls. It also offers customer sentiment insights to help agents tailor their responses to the conversation.
These tools support a service model in which agents remain engaged, applying their experience and judgment to the information available.
Supporting the Work Around the Conversation:
Providing service involves more than answering a call. Agents also need to capture information and prepare for what comes next.
StartelAI’s published capabilities include generating call summaries and key takeaways through Agent Assist. StartelAI Transcription converts spoken conversations into text, either in real time or from recorded audio. These tools are intended to support documentation and help agents focus on customer interactions.
For contact center leaders, these capabilities offer specific workflows to elevate against their team’s needs, including documentation demands and access to information.
Keeping Personal Attention at the Center:
Startel’s stated vision for AI emphasizes enhancing the human touch that defines exceptional service. That means building an approach around both operational needs and the people involved in each interaction.
Successful adoption starts with practical questions:
Where do agents need support?
Which tasks take attention away from the customer?
How will the team assess accuracy, service quality, and workload?



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