Amber by inFeedo

inFeedo is a Conversational Employee Experience Platform designed to engage and empower the workforce through tools primarily powered by Conversational AI and People Science. The platform is highlighted by two main components, AI Engagement and AI Assist. The AI Engagement component focuses on understanding and acting on employee feedback. Key features include continuous listening, pulse surveys, feedback resolution, engagement analytics and handling of exit surveys. This aspect of the platform excels in gathering feedback, analyzing sentiment, predicting attrition, and acting on feedback at a large scale. On the other hand, the AI Assist component is designed to provide instant and constant employee support. It helps free HR resources from handling repetitive queries, routes complex inquiries to the right agents and optimizes internal app access for employees. The platform also features proprietary machine learning and natural language processing engines for sentiment analysis and problem-solving. Additionally, inFeedo provides People Science Advisory which includes on-demand expert consultancy and an in-house panel of I/O psychology experts. Lastly, the platform is aimed to be an all-in-one solution that covers continuous engagement and instant enablement, promising smart ticketing, routing, and intelligent human handoff, among other capabilities.

Tags: Conversational AI, People Science, Employee Engagement, Workforce Enablement, Feedback Resolution, Engagement Analytics

Category: employee engagement

Pricing: free

Amber by inFeedo
employee engagement

Amber by inFeedo

inFeedo is a Conversational Employee Experience Platform designed to engage and empower the workforce through tools primarily powered by Conversational AI and People Science.

The platform is highlighted by two main components, AI Engagement and AI Assist.

View more details in the About section below...

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inFeedo is a Conversational Employee Experience Platform designed to engage and empower the workforce through tools primarily powered by Conversational AI and People Science.

The platform is highlighted by two main components, AI Engagement and AI Assist.

The AI Engagement component focuses on understanding and acting on employee feedback.

Key features include continuous listening, pulse surveys, feedback resolution, engagement analytics and handling of exit surveys.

This aspect of the platform excels in gathering feedback, analyzing sentiment, predicting attrition, and acting on feedback at a large scale.

On the other hand, the AI Assist component is designed to provide instant and constant employee support.

It helps free HR resources from handling repetitive queries, routes complex inquiries to the right agents and optimizes internal app access for employees.

The platform also features proprietary machine learning and natural language processing engines for sentiment analysis and problem-solving.

Additionally, inFeedo provides People Science Advisory which includes on-demand expert consultancy and an in-house panel of I/O psychology experts.

Lastly, the platform is aimed to be an all-in-one solution that covers continuous engagement and instant enablement, promising smart ticketing, routing, and intelligent human handoff, among other capabilities.

Key Benefits

Identifies disengaged employees
Sentiment analysis with 95% accuracy
Highly trusted and reliable
Significant savings in HRBP hours
People Science Advisory Services
Instant HR support automation
Intelligent routing of inquiries
Proprietary machine learning engines
Natural language processing engines
Continuous engagement for employees
Seamless analysis of feedback
Offers online resources for professionals
All
in
one employee experience platform

Use Cases

Conversational AI
People Science
Employee Engagement
Workforce Enablement
Feedback Resolution
Engagement Analytics

Highlights

Identifies disengaged employees
Sentiment analysis with 95% accuracy
Highly trusted and reliable
Significant savings in HRBP hours

Tags

Conversational AI
People Science
Employee Engagement
Workforce Enablement
Feedback Resolution
Engagement Analytics