Tool Information
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.
F.A.Q (20)
Boost.ai is an end-to-end conversational AI platform designed for enterprises to improve customer self-service rates and increase customer satisfaction. It offers AI-powered chat and voice bot solutions for automation. Boost.ai encompasses large language models for precision intent matching, chat automation, voice call automation and more. It provides various industry solutions such as conversational AI for internal support, financial services, insurance, telecom, and public sector enterprises.
Boost.ai's chat automation works with the help of Conversational AI. The system understands, learns and responds like a human to the customer's needs. It efficiently resolves queries and minimizes the need for human intervention. This advanced automation makes it possible for Boost.ai to handle extensive traffic and spike in user interactions.
Yes, Boost.ai provides various resources to help customers understand its platform. These resources include case studies, webinars, guides, and a blog. Additionally, there is a Boost.ai Academy that offers courses and resources for Virtual Agent success.
Boost.ai enhances customer self-service rates through its advanced chat and voice bot automation. It utilizes high-quality large language models for precise intent matching. This feature aids in understanding customer queries and delivering exact and immediate responses, thus improving the self-service rates and customer satisfaction.
Boost.ai provides conversational AI solutions for a wide range of industries including internal support, financial services, insurance, telecom, and public sector enterprises.
Boost.ai's voice call automation works by utilizing conversational AI to handle voice interactions with customers. This enables the handling of customer inquiries through voice calls in a cost-effective and efficient manner, reducing the need for human agents and increasing the efficiency and speed of customer service.
Boost.ai's hybrid NLU (Natural Language Understanding) is a technology that enhances the development of virtual agents. It offers precise, flexible, and cost-effective intent matching which is crucial for the AI to correctly understand and respond to customer inquiries.
Boost.ai's platform supports integrations with numerous enterprise technologies, thus enabling organizations to seamlessly connect their virtual agent with pre-existing solutions. Some noted integrations include Zendesk, Slack, Messenger, UI Path, and Salesforce.
Boost.ai has collaborated with several prominent enterprises such as DNB, Telenor, and Tryg. These collaborations have resulted in significant achievements, for instance, automating 51% of DNB's online chat traffic and resolving 97% of all internal chat queries for Tryg.
Boost.ai makes customer privacy a priority. It complies with GDPR and is ISO/IEC 27001 and 27701 certified, ensuring users' information is securely handled and their privacy protected.
Boost.ai has been recognized as a challenger in the 2023 Gartner Magic Quadrant for Enterprise Conversational AI Platforms. This recognition marks a significant achievement indicating Boost.ai's positioning in the competitive landscape of conversational AI platforms.
Boost.ai played a significant role in automating DNB's online chat traffic. In just six months, it automated 51% of DNB's online chat traffic out of all customer service requests.
Boost.ai can be connected on various social media platforms. Links to Boost.ai's social media profiles, including LinkedIn, Facebook, Twitter, and Instagram, are available on their website.
To partner with Boost.ai, one can visit the 'Partners' section on their website and fill out a 'Become a Partner' application form. Boost.ai also provides detailed information on why businesses should consider partnering with them.
In the 2023 Gartner Magic Quadrant for Enterprise Conversational AI Platforms, Boost.ai was named a 'Challenger'. This position shows recognition of Boost.ai's advanced technology and its ability to consistently deliver effective solutions.
Boost.ai was highly successful in managing Telenor's customer service requests. It enabled the automation of more than 650,000 customer service requests in 2020 alone.
Boost.ai's platform can be used in the financial services sector to automate customer service tasks. Boost.ai's customer self-service solutions leveraged with conversational AI can streamline processes, effectively respond to customer inquiries, and provide a more efficient customer service experience.
Boost.ai helped Tryg, the largest non-life insurer in the Nordics, to resolve 97% of all its internal chat queries. The solution developed by Boost.ai required no developers to manage it, facilitating a more seamless and efficient solution for internal customer service.
Boost.ai incorporates Large Language Models (LLMs) into their Conversational AI platform to create even more advanced virtual agents. The integration of these large language models enhances the understanding and addressing of customer queries.
Boost.ai ensures reliability, security, and compliance through a 99.8% uptime SLA, ISO/IEC 27001 and 27701 certification, and by facilitating GDPR compliance. This demonstrates their commitment to providing secure and compliant data handling practices.
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
Reviews
You must be logged in to submit a review.
No reviews yet. Be the first to review!
Similar Tools
Automated article generation for WordPress auto-blogs.
TBD
Free + from $39/mo
