What boost.ai does
boost.ai is an enterprise conversational AI platform combining controlled conversation design, generative retrieval, multi-agent orchestration, transactions, voice and chat, testing, analytics, and human handoff.
boost.ai focuses on enterprise conversational service, especially where a purely generative bot is too unpredictable. The platform supports chat, voice, customer self-service, internal help, representative assistance, knowledge retrieval, transactions, multi-agent coordination, integrations, testing, analytics, and escalation. Its hybrid approach is designed to let a team choose when a fixed response, retrieved answer, model-generated response, or system action is appropriate.
The vendor does not publish a rate card. Pricing is quote-based and can depend on channels, conversation volume, environments, languages, voice services, generative-model usage, integrations, implementation, industry modules, support, service levels, hosting, and data residency. Buyers should obtain a workload-specific quote and separate generally available functions from pilots or roadmap commitments.
boost.ai publishes a continuously updated Trust Center and describes segregated single-tenant environments, encryption in transit and at rest, SSO, two-factor authentication, roles, IP controls, masking, logs, testing, ISO 27001 and 27701, and SOC 2 Type II. Generative and speech functions may involve assessed subprocessors such as Microsoft, OpenAI, AWS, or LiveKit. Procurement should review the exact provider, region, retention, training, incident, deletion, accessibility, and contractual evidence for the chosen deployment.
Guardrails and certifications do not make an agent infallible. Retrieval can be stale, intent routing can choose the wrong flow, speech recognition can distort a request, and connected actions can affect real accounts. Keep regulated decisions outside the model, authenticate before exposing or changing data, require confirmation for consequential actions, validate every supported language and channel, monitor handoff and complaint rates, and rerun adversarial tests after model or knowledge changes. No hands-on use is claimed.
How boost.ai works
Teams use boost.ai's no-code environment and industry modules to define topics, approved responses, knowledge, generative behavior, integrations, actions, authentication, guardrails, and handoff rules. Its hybrid orchestration combines contextual, generative, and rule-based understanding to route a conversation among specialized agents, retrieve controlled content, or call connected business systems. Test Studio can simulate personas and voice calls, while analytics and automated conversation review expose gaps and performance. Human designers, risk owners, and service teams approve knowledge and actions, inspect failures, tune controls, and retain authority over regulated or high-impact decisions.
How to set up boost.ai
Select a controlled use case
Define users, channels, intents, approved answers and transactions, authentication, exclusions, human escalation, measures, and regulatory owners.
Verify the commercial architecture
Quote platform access, volume, voice, models, languages, environments, modules, integrations, implementation, support, residency, and service levels.
Review trust evidence
Obtain current audit reports, architecture, subprocessors, data-flow maps, retention, training terms, incident duties, accessibility evidence, and regional commitments.
Build hybrid conversations
Use deterministic flows for sensitive rules, controlled retrieval for knowledge, generation only where acceptable, and narrowly scoped authenticated actions.
Run automated and human tests
Test personas, voice, languages, topic changes, jailbreaks, stale content, unauthorized requests, integration failure, and escalation with representative reviewers.
Deploy with continuous control
Release gradually, inspect conversation evidence and action logs, track resolution and harm measures, update knowledge, and require approval for material changes.
boost.ai FAQs
How much does boost.ai cost?
boost.ai uses custom enterprise pricing. Ask for a quote covering channels, volume, generative and voice usage, environments, integrations, implementation, support, and data requirements.
Is boost.ai only a chatbot builder?
No. It supports chat and voice agents, multi-agent orchestration, retrieval, business-system actions, representative assistance, testing, analytics, and human handoff.
What does hybrid control mean?
Teams can combine predefined responses and rules with retrieval and language-model generation, choosing tighter controls for sensitive topics rather than making every answer fully generative.
Can boost.ai agents perform transactions?
Yes, through supported integrations and API connectors. Authentication, least-privilege access, input validation, confirmation, logging, and recovery remain the customer's responsibility.
Which security certifications are documented?
boost.ai's current official materials list ISO 27001, ISO 27701, SOC 2 Type II, GDPR-related controls, and other industry or regional assurance resources in its Trust Center.
Was boost.ai tested hands-on?
No. This listing is based on current official platform, agentic AI, integrations, security, Trust Center, and product materials.
Listing reviewed 2026-09-02. Product details and pricing can change; verify important terms on the provider's website.
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