AI case study

Accessible people analytics

by
Visier
Context

Visier, a company specializing in people analytics solutions, developed Vee, a generative AI assistant built using Microsoft's Azure OpenAI Service, leveraging GPT-3.5 Turbo and GPT-4.0 Turbo models. Vee allows managers and leaders to ask complex questions about their workforce and receive intelligent, actionable insights quickly and securely. By integrating Vee into platforms like Microsoft Teams, Visier makes it easier for organizations to access and utilize workforce data for informed decision-making.

Results

Achieved up to 5x better performance, handling millions of customer queries rapidly

Results not reported in the source
Published
June 25, 2024
Agent type
Employee Agents
AI provider
Microsoft
ICE score
192
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
8
Ease
3

14

AI use cases in

Human Resources

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micro1

Human Resources
Use case
Efficient technical interviews
Context

micro1 uses Anthropic's Claude to conduct AI-powered technical interviews, automating over 3,000 interviews per day. Claude evaluates technical skills through dynamic conversations, providing consistent, unbiased assessments and creating anxiety-free interview experiences.

Models/tools
...
1

Gojob

Human Resources
Use case
Faster candidate prequalification
Context

Gojob developed Aglae, a virtual assistant powered by Azure OpenAI Service to automate candidate engagement and prequalification via text messaging. They implemented a system that leverages large language models and customized prompts to search a database of 2 million profiles and conduct natural language conversations, while personalizing the assistant for each recruiter. This integration streamlined the recruitment workflow by reducing screening time and allowing recruiters to focus on high-value interactions.

Models/tools

Skillfully

Human Resources
Data Agents
Quick win
Use case
More effective, less biased hiring
Context

Skillfully, a public benefit corporation dedicated to creating a more meritocratic job market, uses Anthropic's Claude to power AI-driven job simulations that let candidates demonstrate their actual skills in realistic workplace scenarios. By leveraging Claude without complex fine-tuning, Skillfully generates a large volume of AI-powered job simulations weekly, transforming traditional hiring practices.

Models/tools
...
1
Explore industries

295

companies using

Employee Agents

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Use case
Building learning tools and making content
Context

Super Teacher integrated Anthropic's Claude to generate initial code for interactive educational tools and draft lesson plans for subjects ranging from pre-K to 5th grade. They embedded the AI into both software development and content creation workflows with mandatory human review to ensure safety and quality standards. This integration streamlined operational processes, enabling engineering and content teams to focus on higher-level development and creative enhancements.

Models/tools
...
1
Use case
Fast registration & safety
Context

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

Models/tools
...
2
Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Models/tools
...
2
Explore agents

226

solutions powered by

Microsoft

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Use case
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
...
2
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster oncology data extraction
Context

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Models/tools
...
4
Explore AI providers

279

AI use cases in

North America

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Use case
Rigid support workflows
Context

Zendesk integrated OpenAI's models to create adaptive AI service agents that autonomously manage customer conversations and execute resolution tasks. They implemented a multi-agent architecture featuring task identification, conversational RAG, procedure compilation, and procedure execution agents integrated with existing support workflows through API calls and natural language procedure definitions, while providing real-time chain-of-thought visibility. This solution transitions from traditional intent-based bots to a hybrid model of scripted and generative reasoning, streamlining customer service processes.

Models/tools
...
2
Use case
Instant personalized support
Context

Chatbase integrated Anthropic's Claude into its multi-channel customer support platform to automate routine inquiries and deliver instant, personalized support across web chat, WhatsApp, Slack, and Instagram. They implemented the solution by embedding AI agents through APIs that integrate with business systems such as Stripe for order status checks and refund processing, while enabling customizable brand voice and multilingual communication with optional human oversight. This approach streamlined customer service workflows and provided advanced analytics to help teams quickly identify trends and optimize interactions.

Models/tools
...
1
Use case
Personalized student support
Context

Pensieve integrated Anthropic's Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) to build AI teaching assistants that automate grading and provide 24/7 personalized tutoring. The system clusters student submissions to calibrate grading rubrics and transforms static PDFs into interactive worksheets while enforcing instructor-controlled policies. This integration streamlines course management workflows and enhances real‐time classroom analytics.

Models/tools
...
2
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Thoughts & ideas