GENERATIVE AI FOR SERVICE & SUPPORT TEAMS

Enhance customer service and streamline support with generative AI

Empower your teams to focus on building customer loyalty and retention, and stop wasting time on time-consuming tasks like ticket categorization and response generation.
GenAI for Service & Support Teams
HOW VERTESIA HELPS

Deliver exceptional customer service and support at scale

As service and support teams scale, they’re confronted with mounting challenges—rising ticket volumes, greater customer expectations, and increased competition.
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Keeping teams up-to-date on changing products and policies is a challenge, leading to poor customer service.

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Time is wasted on manual, repetitive tasks like data entry, which are prone to human error.

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Critical data is trapped in separate systems, leading to inefficiencies and poor responsiveness.

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Ticket categorization and follow-ups are tasks that take time away from resolving complex issues and providing personalized support.

GENAI FOR SERVICE & SUPPORT

Transform service & support with GenAI

Vertesia's generative AI solutions are built to transform your customer support operations.
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Accelerate issue resolution
Resolve issues faster by generating personalized responses and summarizing customer histories.
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Improve service forecasting
Identify inquiry trends and predict staffing needs to ensure you're always ready for demand spikes.
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Strengthen quality control
Monitor agent interactions and identify inconsistent responses.
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Analyze customer sentiment
Continuously analyze support tickets and conversations to identify frustrated customers and at-risk accounts.
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Prevent customer churn
Enhance churn analysis by analyzing customer behavior and interactions, sentiment analysis, and historical data.
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Unify the business
Provide instant access to customer insights across functions, ensuring a cohesive and customer-centric business strategy.
GENAI SOLUTIONS

Proven use cases for service and support teams

Built in collaboration with service and support leaders, our solutions help teams resolve issues faster, reduce ticket backlogs, and deliver consistent, high-quality customer experiences.

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Accelerated CSR training
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Real-time sentiment analysis
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Ticket summarization, prioritization, and routing
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Personalized and on-brand response generation
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Proactive churn risk identification
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Intelligent demand forecasting
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Automated performance reporting
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Proactive maintenance planning and communications
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Intelligent call transcripts
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Comprehensive knowledge bases
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Translation and localization of existing documentation
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Skills matching and gap analysis
USE CASE DEEP DIVE
Customer service automation

Customer service departments face a high volume of inquiries, leading to long wait times and ineffective responses. Additionally, limited data analysis hinders the identification of opportunities for improvement.

Step 1: Data integration & analysis
The platform integrates with customer service platforms to collect and analyze customer interactions. LLMs process this data to understand customer needs and identify patterns.

Step 2: Automated response generation & personalization
LLMs analyze incoming customer inquiries and automatically generate personalized responses based on the defined context. The platform ensures that responses are consistent with brand voice and customer service guidelines.

Step 3: Agent support & service optimization
LLMs provide customer service representatives with real-time support by suggesting relevant responses, identifying potential solutions, and escalating complex issues. The platform analyzes customer interactions to identify trends, areas for improvement, and opportunities for service optimization.

USE CASE DEEP DIVE
Churn prediction & prevention

It is difficult to predict and prevent customer churn. Businesses are relying on reactive retention strategies that may not be effective in addressing the underlying causes of churn. Limited insights and predictive capabilities hinder the ability to identify at-risk customers early on and implement timely interventions.

Step 1: Data integration & analysis
The Vertesia platform processes customer data from various sources, including demographics, purchase history, customer support interactions. LLMs analyze this data to identify patterns and indicators of at-risk customers.

Step 2: Churn risk prediction & segmentation
LLMs identify customers at risk of churning based on data analysis and predictive models. The platform provides key characteristics of at-risk segments.

Step 3: Proactive intervention & retention strategy
The Vertesia platform provides recommendations for proactive interventions and personalized retention strategies for each unique customer segment.

PROVEN EXPERIENCE

Why Vertesia?

We understand the unique challenges of service and support teams. As a SaaS company, our customers' success is foundational to our success. We help our customers solve mission-critical business challenges with GenAI everyday.
time-savings
10x acceleration
Build and deploy custom GenAI apps and services 10 times faster than with in-house-developed solutions
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Enterprise-grade security & compliance
Our SOC2 Type II-certified platform ensures data privacy and security. Flexible data storage for data residency, bias-mitigation, auditability, and end-to-end governance are all built in.
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Multi-model, low-code platform
Connect to your preferred LLMs and build fully compliant GenAI solutions fast with our intuitive design environment. Deploy in the Cloud, on-premises, or even in hybrid environments – wherever compliance demands.

NEXT STEPS

Are you ready to enhance customer service and streamline support with generative AI?

Schedule a custom demo and we'll show you what the Vertesia platform can do for you.