Boost.ai
Enterprise conversational AI for chat and voice support, aimed at banks, insurers and public bodies rather than small teams.
Highlights
- Advanced AI-powered chat and voice bots
- Real-time collaboration and co-editing capabilities
- Document tracking for user engagement insights
- Seamless integration with popular ML tools
- Workspace organization tailored for projects, teams, and clients
External link — opens boost.ai in a new tab. Boost.ai is a third-party product; we are not affiliated with it.
About Boost.ai
What it is
Boost.ai builds virtual agents that handle customer conversations over chat and voice, sitting in front of a support team and resolving the routine contacts before a human sees them. It is aimed squarely at large regulated organisations, which shows in what it emphasises: predictable behaviour, auditability, integration with existing service desks and CRM, and control over exactly what the bot is allowed to say. Norwegian in origin and heavily used across Nordic banking and public services, it handles multiple languages and channels from one set of conversation definitions.
Why it's different
Most conversational AI now sells itself on a language model answering freely from your documents. Boost.ai has historically gone the other way, favouring tightly scoped intents so a regulated organisation can say precisely what the system will and will not do. If you need a support bot that cannot improvise about a mortgage, that constraint is the product. The trade is real: it is slower to set up than pointing a modern chatbot at a help centre, and it is enterprise-priced with no free tier and no self-serve signup, so a small team cannot try it over a weekend. For a ten-person company this is the wrong tool by a wide margin.
How people use it
It is bought by contact centres with high, repetitive volume: balance queries, claims status, appointment changes, password resets. The usual pattern is to pick the top handful of contact reasons, automate those properly, and hand everything else to an agent with the conversation history attached. Public-sector bodies use it for the same reason banks do, which is that it can be made to answer consistently and the answers can be reviewed. Rollouts tend to be measured in months and involve the vendor, not an afternoon of self-service configuration.
Written by the n3os team. We are not affiliated with Boost.ai.
This listing was written from public information, without Boost.ai’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.
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