What is Generative AI?

Definition

A form of AI that generates content closely resembling human-created output, suitable for a wide range of real-world applications.

Foundation and Capability

Driven by Foundation Models (FMs) that are pre-trained on extensive datasets, encompassing several hundred billion parameters.

Scope of Application

Applicable to a diverse array of fields such as text generation, digital art, coding, multimedia, and
more.

Multiple users

Capable of being tailored to meet the unique requirements of different industries, enhancing its practical utility.

Internal Employee Challenges

Information Overload

Feeling swamped by information? Employees spend a significant portion of their time searching for data, hindering their ability to be productive and innovative.

Repetitive Tasks

Are mundane tasks sucking the life out of your workday? Countless employees find themselves bogged down by repetitive work, leading to disengagement and frustration.

Decision Paralysis

Feeling overwhelmed by mountains of data? Analyzing vast datasets can lead to paralysis by analysis, hindering optimal decision-making.

Expertise Bottlenecks

Need niche skills, but can't find them within your team? Limited access to specialized expertise can slow down project efficiency and progress.

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Combined Knowledge Source
for Customer Service

Use Cases

Enhance customer satisfaction and improve retention

01

Quickly Access Insights

  • Previous Interactions
  • Main Contacts
  • Product Utilization
  • Additional Information
02

Analyze Customer Patterns

  • Uncover churn risk
  • Measure satisfaction dynamics
  • Predict buying behaviour
  • Gauge product adoption
03

Increase Team Productivity

  • Intelligent query
  • Data-driven insights
  • Reduced resolution time
  • Increased agent efficiency
04

Train Teams Faster & effectively

  • Instant knowledge access
  • Faster onboarding
  • Enhanced knowledge sharing
  • Standarized training
  • Reduced reliance on individual memory