Customer support 2022-01-20
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Boost AI

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Autonomous customer service chatbot platform.
Generated by ChatGPT

Boost.ai is an end-to-end conversational AI platform designed for enterprises to enhance their customer self-service rates and heighten customer satisfaction.

The platform offers conversational AI solutions for chat automation, voice call automation, and large language models for precise intent matching. Boost.ai also provides various industry solutions such as conversational AI for internal support, financial services, insurance, telecom, and public sector enterprises.

Boost.ai's hybrid NLU enhances virtual agent development with flexible, precise, and cost-effective intent matching. The conversational AI platform is equipped with integrations that make it easier to build and connect it with various enterprise technologies.

It provides various resources such as case studies, webinars, guides, and a blog to help customers learn more about the platform's capabilities. Boost.ai has previously collaborated with some of the prominent enterprises such as DNB, Telenor, and Tryg, gaining significant achievements such as resolving 97% of all internal chat queries for Tryg, and automating 51% of DNB's online chat traffic, out of all customer service requests, in just six months.

Boost.ai prioritizes the privacy of its customers, and social media platforms such as LinkedIn, Facebook, Twitter, and Instagram can be used to connect with them.

The platform has been recognized as a challenger in the 2023 Gartner Magic Quadrant for Enterprise Conversational AI Platforms.

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Boost AI was manually vetted by our editorial team and was first featured on June 21st 2023.
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Pros and Cons

Pros

End-to-end conversational platform
Enhances customer self-service rates
Improves customer satisfaction
Chat automation capabilities
Voice call automation capabilities
Large language models
Precise intent matching
Hybrid NLU for flexible development
Cost-effective intent matching
Industry-specific solutions
Internal support capabilities
Public sector enterprise solutions
Valuable resources for customers
Effective enterprise integrations
Previous successful collaborations
High query resolution rate
High automation rate for chats
Strong privacy prioritization
Social media integration
Recognized by Gartner
Specific chatbot solutions
Voice automation solutions
No coding required for integration
Proof of concept availability
Strong uptime SLA
ISO/IEC 27001 + 27701 certified
Facilitates for GDPR compliance
Solution built for enterprise scale
Built to handle traffic spikes
High resolution rates
Supports 10,000+ different intents
Multiple high-profile partnerships
Proven successful implementation
User-controlled scope and cost
Partner community opportunity
Regular live webinars and events
Courses and resources availability
User friendly design
Large language model incorporation

Cons

No clear pricing information
No transparent uptime data
Limited integration options
Exclusively enterprise-focused
Data privacy specifics unclear
Limited information on large language models
Unclear onboarding process
Hybrid NLU might lack precision
No specific tool customization mentioned
No multi-channel support indicated

Q&A

What is Boost.ai?
How does Boost.ai's chat automation work?
Does Boost.ai provide resources to learn about their platform?
How does Boost.ai enhance customer self-service rates?
What industries does Boost.ai provide solutions for?
How does Boost.ai's voice call automation work?
What is Boost.ai's hybrid NLU and how does it enhance virtual agent development?
What integrations does Boost.ai support?
Which prominent enterprises has Boost.ai previously collaborated with?
How does Boost.ai prioritize customer privacy?
What recognition or awards has Boost.ai received?
How effective was Boost.ai in automating DNB's online chat traffic?
How can I connect with Boost.ai on social media platforms?
How can I become a partner with Boost.ai?
What is Boost.ai's standing in the Gartner Magic Quadrant for Enterprise Conversational AI Platforms?
How successful was Boost.ai in handling Telenor's customer service requests?
How can Boost.ai's platform be used in the financial services sector?
How was Boost.ai successful in resolving Tryg's internal chat queries?
What type of large language models does Boost.ai provide?
How does Boost.ai ensure it is reliable, secure and compliant?

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