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Boost.ai

Enterprise chatbot platform for scalable automated customer conversations

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 🤖 Chatbots & Agents 🕒 Updated
Visit Boost.ai ↗ Official website
Quick Verdict

Boost.ai is an enterprise-focused conversational AI platform that builds, manages, and deploys virtual agents across customer-service channels; it suits contact-center and digital-service teams aiming to automate high volumes of inquiries with configurable intent flows and analytics, and pricing is primarily enterprise/quote-based with pilot options rather than a broad self-serve low-cost plan.

Boost.ai is an enterprise-grade conversational AI platform that builds and deploys virtual agents and chatbots for customer service and digital channels. It combines a graphical bot studio for designing intent flows, pretrained domain templates, and live-channel integrations so organizations can automate common support tasks and handle large ticket volumes. Its key differentiator is a focus on high-accuracy natural language understanding and an intent-management interface tailored for contact centers and regulated industries. Boost.ai targets banks, utilities, telcos, and public sector teams; pricing is largely quote-based with pilot programs rather than mass-market free tiers.

About Boost.ai

Boost.ai is a Norway-founded conversational AI vendor established to serve enterprise customer service automation needs; the company positions itself as a specialist in virtual agents for high-volume, regulated environments. It emphasizes an intent-driven approach and a visual bot-building studio rather than purely code-first development. Boost.ai's core value proposition is to reduce live-agent workload by automating standard customer queries with high intent coverage, using supervised training, extensive reporting, and governance features suitable for finance, utilities, and government organizations.

Key features include the Visual Bot Studio which provides flow-authoring, intent mapping, and integration points for channels like web chat, Facebook Messenger, and telephony — the studio lets non-developers configure prompts, slot-filling, and escalation rules. The Language Understanding engine supports multi-language intent recognition, synonyms, and entity extraction with confidence scoring so routing rules can use thresholds for handover. Boost.ai also offers a Live Assist and Handover feature set that hands conversations to human agents with context; transcripts, conversation history, and suggested reply cards are passed into agent desktops. For analytics, Boost.ai supplies intent coverage dashboards, deflection metrics, and training suggestions so teams can iteratively raise automation rates and measure ROI.

Pricing for Boost.ai is not published as fixed per-seat tiers on the public site; the company sells enterprise subscriptions and often scopes pilots or PoCs. For many customers there is a pilot or proof-of-concept engagement (time-limited) to validate intent coverage; production licensing is quoted based on channel count, concurrent sessions, and SLA levels. There is no broadly advertised free forever tier with unrestricted features; smaller proofs and demos are commonly negotiated. Add-ons such as telephony connectors, advanced integrations, or managed services will affect the final enterprise quote, and professional services for onboarding/training are typically billed separately.

Boost.ai is used by customer experience, digital-transformation, and contact-center teams to automate support tasks. Example job-title use cases: Customer Service Manager configuring a virtual agent to deflect 30-50% of FAQ volume from live agents, and IT Director integrating Boost.ai with telephony and CRM to reduce average handle time. Other real deployments include banks using it for KYC and balance inquiries, and utilities for outage reporting. Compared to conversational platforms like IBM Watson Assistant, Boost.ai emphasizes ready-to-deploy industry templates, intent-management tooling, and enterprise program support rather than a self-serve developer-first SDK approach.

What makes Boost.ai different

Three capabilities that set Boost.ai apart from its nearest competitors.

  • Visual Bot Studio emphasizes intent management and supervised training tailored for enterprise contact centers.
  • Offers scoped pilot/PoC engagements and professional services to reach production intent coverage efficiently.
  • Built-in live handover preserves full conversation context for agent desktops and post-handover analytics.

Is Boost.ai right for you?

✅ Best for
  • Customer experience teams who need to deflect high volumes of repetitive queries
  • Contact-center managers who need intent-based routing and live handover
  • IT teams who require enterprise-grade integrations and SLAs
  • Regulated-industry teams who need audit trails and governance features
❌ Skip it if
  • Skip if you need a low-cost self-serve chatbot with transparent public pricing.
  • Skip if you require a developer-first SDK-only platform without enterprise services.

✅ Pros

  • Enterprise-grade intent management and reporting tailored to contact centers
  • Prebuilt domain templates accelerate industry-specific deployments
  • Live-handover preserves context and supports agent-assist workflows

❌ Cons

  • No published self-serve pricing — enterprise quotes required, complicating budgeting for smaller teams
  • Implementation can require professional services for complex integrations and governance

Boost.ai Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Pilot / PoC Custom (often time-limited trial) Scoped pilot with limited intents, time window, and channels Enterprises validating use case before full deployment
Standard Enterprise Custom Quoted per concurrent sessions, channels, and SLA Contact centers needing production automation
Enterprise Plus Custom Includes advanced connectors, higher SLA, and professional services Regulated industries with compliance needs

Best Use Cases

  • Customer Service Manager using it to deflect 30-50% of FAQ volume from live agents
  • IT Director using it to integrate telephony and CRM and reduce average handle time by minutes
  • Compliance Officer using it to maintain conversation audit trails for regulated interactions

Integrations

Telephony/Voice gateways (SIP/CTI connectors) CRM systems (e.g., Salesforce via connector) Web chat and channel integrations (web SDK, Facebook Messenger)

How to Use Boost.ai

  1. 1
    Sign up for a pilot engagement
    Contact Boost.ai via the 'Get a demo' or 'Contact sales' form on the website to request a pilot; a solutions rep will scope intents and expected channels. Success is an agreed PoC scope with timeline and access to the trial environment.
  2. 2
    Create a virtual agent in Studio
    Open the Visual Bot Studio, click 'Create new agent' and choose a template or blank agent; name it and set the primary language. Success is an agent scaffold with default intents visible in the Studio workspace.
  3. 3
    Add intents and train NLU
    In the Studio, add intents with example utterances, annotate entities, and set confidence thresholds; then run the training task. Success looks like improved intent recognition and green coverage metrics in the analytics tab.
  4. 4
    Connect channel and test live
    Use the Integrations panel to enable web chat or telephony connector, then use the built-in Test Console to simulate queries; verify handover rules. Success is a test conversation that triggers intents and, if configured, transfers to a live agent with context.

Boost.ai vs Alternatives

Bottom line

Choose Boost.ai over IBM Watson Assistant if you prioritize intent-management tooling and enterprise pilot support for fast contact-center rollouts.

Frequently Asked Questions

How much does Boost.ai cost?+
Pricing is custom and quoted per customer. Boost.ai typically sells enterprise subscriptions with costs based on concurrent sessions, channels, SLA level, and optional professional services. Many customers start with a scoped pilot or PoC priced or time-limited for evaluation; full production licensing is negotiated with Boost.ai sales and varies by deployment size and integrations.
Is there a free version of Boost.ai?+
There is no public free-forever tier with full features. Boost.ai offers pilot or proof-of-concept engagements and demos rather than a permanent free plan; smaller proofs are negotiated with sales. Customers expecting a self-serve free tier should contact Boost.ai for trial options or evaluate developer-first free alternatives.
How does Boost.ai compare to IBM Watson Assistant?+
Boost.ai focuses on intent-management, visual bot studio, and enterprise pilot programs. IBM Watson Assistant is a broader cloud AI platform with published pricing and developer SDKs. Choose Boost.ai for contact-center intent tooling and template-driven deployments, and Watson Assistant for more self-serve developer integration or platform breadth.
What is Boost.ai best used for?+
Boost.ai is best for automating high-volume customer-service queries. It fits organizations that need to deflect FAQs, route intents, and hand over to agents with context—common in banking, utilities, telco, and government contact centers seeking measurable deflection and governance.
How do I get started with Boost.ai?+
Start by requesting a demo or pilot through 'Get a demo' on boost.ai. A solutions engineer will scope a PoC, provide access to the Visual Bot Studio, and guide intent selection; success is a live pilot with measurable deflection targets and analytics.

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