Boost.ai
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About
Boost.ai is an enterprise-level conversational AI platform designed specifically for highly regulated sectors such as financial services, insurance, telecommunications, and the public sector. Founded in Norway in 2016, the platform focuses on delivering automated interactions that maintain the highest standards for security, privacy, and auditability. It allows organizations to deploy virtual agents that can handle complex queries across both chat and voice channels, effectively bridging the gap between automated self-service and human-like interaction to build long-term trust with customers. The platform utilizes advanced agentic conversational AI capabilities and large language models (LLMs) to power its virtual assistants. It features a robust orchestration layer designed to mitigate AI hallucinations, which is a critical requirement for businesses where accuracy is mandatory and errors can lead to compliance issues. Users can manage their virtual agents through a user-friendly interface that empowers existing teams—often referred to as AI trainers—to build and maintain bots without extensive coding knowledge. The system supports seamless self-service across multiple digital channels, providing a unified experience for the end-user. This tool is best suited for large-scale enterprises and government entities that require strict governance and operational control over their AI deployments. It is particularly effective for customer service departments looking to achieve faster ROI through automated self-service, as well as internal support teams and contact centers implementing "Agent Assist" workflows. With over 150 million automated conversations and 4,500 certified AI trainers, the platform is built for scale, supporting massive interaction volumes while maintaining high customer satisfaction ratings. What distinguishes Boost.ai from general-purpose chatbots is its deep specialization in compliance-heavy industries and its proven track record with major institutions like Nordea and Santander. It offers a hybrid control model that combines the flexibility of generative AI with the reliability of pre-defined conversational paths, ensuring that the AI stays within prescribed boundaries. Additionally, the company provides an Academy for certifying staff and emphasizes transparent implementation timelines, aiming to get solutions live quickly without the common surprises associated with complex enterprise software.
Pros & Cons
Named a Leader in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms.
Deep specialization in regulated industries with built-in auditability and security features.
Proven scalability with over 150 million automated conversations and 600+ live agents.
Hybrid control model prevents AI hallucinations in critical business conversations.
Documented track record of achieving ROI within the first 12 months for enterprise clients.
Pricing is not transparently listed and requires a custom demo for a quote.
Primary focus on large-scale enterprises may make it less accessible for small businesses.
Implementation requires staff to become certified AI trainers through their specific Academy.
Use Cases
Banking Customer Service Managers can automate routine inquiries like balance checks and card blocking while maintaining strict financial compliance.
Telecom Operations Heads can deploy virtual agents to handle high volumes of support tickets across chat and voice channels to reduce overhead.
Public Sector Administrators can provide 24/7 automated assistance for citizen queries in a secure and fully auditable digital environment.
Contact Center Leads can use Agent Assist features to provide live human agents with real-time AI suggestions, improving resolution speed.
Insurance Providers can automate claims inquiries and policy questions, ensuring that the AI provides accurate information based on regulated guidelines.
Platform
Task
Features
• enterprise-grade security
• multi-channel deployment
• chat automation
• conversational ai platform
• ai trainer academy
• agent assist workflows
• generative ai orchestration
• voice call automation
FAQs
What industries does boost.ai specialize in?
The platform is specifically built for regulated industries including financial services, insurance, telecommunications, and the public sector. It is designed to meet the high standards for security, privacy, and auditability required by these specific sectors.
Does boost.ai support voice interactions?
Yes, the platform offers voice call automation in addition to its chat capabilities. This allows organizations to deliver seamless self-service experiences across both text and speech-based channels for a unified customer experience.
How does boost.ai handle AI hallucinations?
Boost.ai utilizes an orchestration layer to provide a structural solution to AI hallucinations. This is specifically designed to ensure accuracy in regulated industries where providing incorrect information is not an option.
What kind of training is required to manage the platform?
Boost.ai is designed to empower existing teams through its Academy program. There are currently over 4,500 certified AI trainers globally who manage the platform's virtual agents without needing specialized coding skills.
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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