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Skit.ai’s Agent Portal empowers agencies to enhance agent performance by streamlining workflows. This results in lower average handling time, quicker resolutions, reduced operational costs, and a more seamless customer experience. The structured call-handling framework reduces repetition and fosters more engaging, efficient conversations between agents and customers.
Book a DemoSkit.ai’s Agent Portal is designed to help agents hit the ground running—no guesswork, no repetition, just seamless productivity. With all the context at their fingertips, agents can effortlessly pick up conversations exactly where bots left off.
With structured call summaries, real-time insights, and a unified interface, agents spend less time searching for information and more time resolving issues—cutting AHT by half.
Automated workflows, smart call routing, and easy access to account details empower agents to handle more interactions efficiently, leading to a 25% jump in overall productivity.
By minimizing manual effort, reducing repetition, and offering intuitive tools, the Agent Portal creates a smoother, less stressful environment— improving job satisfaction and performance.
The Agent Portal features an intuitive call log interface that helps agents seamlessly manage and track transferred calls. All key conversation details are displayed in a structured, easy-to-navigate table, including caller number, account ID, timestamp, call duration, reason for transfer, and current call status (e.g., Transferred, Hangup, User Hangup, Completed). This clear layout enables agents to quickly access critical information and stay focused on resolution.
Upon selecting a specific call from the log, agents are presented with a detailed view providing essential information to quickly understand and resume interactions seamlessly. This structured approach significantly improves agent efficiency, reduces handling time, and enhances overall customer interaction quality.
The call summary includes the reason for transfer, clearly explaining why the call was routed to an agent, along with a brief, easy-to-understand overview of the conversation that took place beforehand.
The timeline highlights key stages of the call before it reached the agent—such as right-party contact, dues explained, payment options offered, and transfer reason—enabling agents to quickly pick up where the conversation left off without repeating previous steps.
To support quick verification and smooth customer interactions, agents can instantly access key account details such as Caller Name, Authentication Information (e.g., DOB, SSN), Due Amount, and Creditor Name.
These fields are fully customizable to align with specific operational needs.
We leveraged Generative Al and consumer interactions to build a collection propensity score. Our Large Collection Model (LCM) can guide creditors and collection agencies in executing successful recovery campaigns by identifying engagement patterns.
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Customer Experiences,
Augmented by Conversational AI
United States:
135 Madison Ave, 7th Floor
New York, NY 10016
India:
Kothari Adonis,
1st & 2nd Floor,
#3/1, Old Madras Road,
Bangalore 560038
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