Use case.

Customer Services Assistant.

Enhance customer service with our AI solution. Swiftly respond to inquiries, cut response times by 70%, match needs with products, and orchestrate processes in real-time. Transform the handling of customer concerns for faster, more accurate, personalized service.

Rapid response times

Your benefits.

See what's in it for you.

Cut customer response time by 70% to boost satisfaction

Reduce resources & overheads to improve operation efficiencies

Cut customer response time by 70% to boost satisfaction

What you previously had to do.

  • Response time can be slow, especially during peak hours which greatly reduces customer satisfaction

  • Responses may differ in quality based on the agents expertise or the documentation that agents has access to. Human error is a large cause of customer frustration.

  • Requires continuous training and management of staff that comes at high-cost and effects efficiency.

What this task now looks like.

  • AI can respond to queries almost instantly, minimizing wait times for customers and boosting agents productivity and satisfaction.

  • Provides consistent, uniform answers from a knowledge base, that removes possible human error to benefit the customer.

  • AI can easily handles routine queries, freeing agents for complex issues and enable better use of their time.

You can choose from various LLMs.

For this use case, we recommend Azure GPT-3.5.

Enhance customer service with our AI solution. Swiftly respond to inquiries, cut response times by 70%, match needs with products, and orchestrate processes in real-time. Transform the handling of customer concerns for faster, more accurate, personalized service.

Train from different data sources.

Data examples.

You can train your Generative AI assistant from different data sources. Here are some examples.

Historical support emails

"Historical support emails" are archived email interactions between customers and a company's support team. They're kept for record-keeping, quality assurance, training, dispute resolution, and data analysis to improve customer experience and services.

Product catalogue

Includes details of available the various products, enabling easy reference and recommendation based on client needs. Product catalogue can consist of PDF documents as well website pages.

This might also be relevant for you.

Further resources

We have collected a list of resources that might be helpful for you to learn more about this use case.

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The blueprint for your use case.

We've been in the space of Natural Language Processing for many years before ChatGPT and pioneered open-source, data-centric AI. Solutions built on our platform follow IT, LLM and security best practices.

Enterprise LLM Service catalogue (ChatGPT-like assistants, LLM-enhanced workflows, …)
LLM Use Case, configurable via low-code designer
No-Code UI
API Endpoint
Secure Gateway, IT Best-Practices
Permissions, PII-Redaction
Cost Controls
Orchestration
Intent-Aware Routing
Functions
Retrieval Augmented Generation
Feedback and Confidence Scoring
Data
Mindmap-like structure
Search indices
Versioning
Automated data quality checks
LLM
Agnostic setups
Finetuning
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