Sendbird

What is Sendbird AI

Sendbird AI is an enterprise-focused platform for AI customer service: it provides omnichannel conversational agents that can handle routine requests, proactively engage users, and escalate complex issues to human agents with full context. The platform is built to sit alongside existing support stacks (Zendesk, Salesforce and others) and to preserve conversation state across channels—mobile, web, email, SMS and social messaging—so a customer interaction can continue seamlessly when they switch devices or platforms.

Sendbird AI is positioned for mid-market and enterprise teams that need a production-ready AI layer rather than a proof-of-concept. It emphasizes secure integrations, auditability of agent decisions, and operational controls (SLA, role-based access, and data governance) necessary for regulated industries. The vendor also offers professional services and dedicated support to help teams design prompts, integrate with internal systems of record, and tune the agent for domain-specific language.

From a technical standpoint, Sendbird pairs its communications APIs with an AI agent engine that ingests conversation history, knowledge bases, and system-of-record data to generate or suggest responses. The platform supports hybrid workflows where the AI handles the initial interaction and forwards unresolved or sensitive tickets to human agents with context preserved.

Sendbird AI features

What does Sendbird AI do?

Sendbird AI automates omnichannel customer interactions while retaining human-in-the-loop controls. It performs intent detection, automated resolution of common queries, proactive outreach (e.g., transaction alerts or re-engagement messages), and context-aware escalation to agents when required. The platform is designed to reduce first-response times and increase overall resolution rates by combining AI-generated responses with seamless agent handoffs.

Key feature areas include:

• Omnichannel messaging: Deliver AI-driven conversations on mobile SDKs, web widgets, SMS, email, and social messaging channels while keeping a single conversation thread.
• Context persistence: Maintain conversation history and metadata so the AI or a human agent can resume a conversation exactly where it left off.
• Integrations: Pre-built and configurable connectors for CRMs and support platforms like Zendesk and Salesforce to sync tickets, customer records, and conversation transcripts.
• Proactive messaging: Rules and AI triggers to reach customers proactively for support, engagement, or retention workflows.

The platform also exposes controls for model behavior, logging and auditing, data masking, and role-based access, which are critical for compliance and internal governance.

Sendbird AI pricing

Sendbird AI offers flexible pricing tailored to different business needs, from single-team pilots to global enterprise deployments. Pricing is typically consumption-based (conversations or messages) and can be combined with tiered support and professional services for implementation and ongoing optimization. For enterprise customers, Sendbird provides custom contracts and SLA options that reflect volume, feature needs, and data residency requirements.

Below are common commercial tiers vendors in this category use; Sendbird’s team will map features and consumption to a tailored quote:

• Free Plan: Available for limited trials or developer evaluation in some cases; typically limited in conversations and support level.
• Starter: Designed for small teams or pilot projects; includes basic omnichannel routing and standard integrations with limited monthly conversation volume.
• Professional: Intended for growing teams with higher message volumes, advanced analytics, and priority support.
• Enterprise: Custom contracts with dedicated support, SLAs, white-glove integration services, advanced security controls, and enterprise-grade reporting.

For accurate, contract-level pricing and any available discounts for annual billing, check Sendbird's current pricing options. Visit their official pricing page for the most current information.

How much is Sendbird AI per month

Sendbird AI offers flexible pricing that is commonly billed on a monthly basis for consumption tiers (per conversation or per message) or per-seat where applicable. Small pilots often start with low monthly consumption fees, while production deployments scale with conversation volume and feature add-ons. For exact monthly rates and examples tailored to your expected conversation volume, request a custom quote via their sales channels or check Sendbird’s current pricing options.

How much is Sendbird AI per year

Sendbird AI offers annual contract options for customers who prefer committed volume and discounted pricing. Enterprise agreements often include annualized billing with negotiated discounts, professional services hours, and SLA commitments. Annual costs can range from a few thousand dollars for small pilots to six- or seven-figure contracts for global contact center replacements; speak to Sendbird sales for an accurate enterprise estimate and examine their current pricing options.

How much is Sendbird AI in general

Sendbird AI pricing ranges from low-cost pilot tiers to multi‑year enterprise contracts depending on conversation volume, number of channels, integration complexity, and support level. Expect simple pilots to be in the low thousands per year for limited usage, while full production deployments across multiple regions and channels commonly reach mid‑ to large‑enterprise budgets. For specific examples and to compare monthly vs. annual savings, review Sendbird’s current pricing options.

What is Sendbird AI used for

Sendbird AI is used to handle customer support, automated sales outreach, transactional communications, and post-sale engagement across multiple messaging channels. Typical use cases include resolving common support requests (billing, order status), routing complex queries to agents with context, and sending proactive notifications to reduce inbound ticket volume. Businesses use Sendbird AI to maintain faster response times, increase first-contact resolution, and reduce the operational load on human agents.

Industries that frequently adopt Sendbird AI include e-commerce, financial services, healthcare (with HIPAA considerations), telco, and marketplaces where high volume and multi-channel presence are common. The platform’s security and data governance controls are designed to support regulated environments while still enabling conversational automation.

Operational workflows commonly built on Sendbird AI:

• Automated ticket triage and categorization before agent assignment.
• Self-service flows that use knowledge bases or enterprise data to answer routine questions.
• Escalation workflows that forward full conversation context to human agents or subject-matter experts.
• Proactive retention campaigns triggered by risk signals or lifecycle events.

Pros and cons of Sendbird AI

Pros:

• Robust omnichannel capabilities that preserve conversation context across platforms, reducing repeat explanations and improving customer experience.
• Enterprise-grade security, auditing, and governance features suitable for compliance-sensitive industries; see their security documentation for technical details.
• Dedicated professional services and white-glove support to help with prompt engineering, integration, and custom workflows.
• Flexible integration model that allows connection to existing CRMs and support tools for seamless agent handoffs.

Cons:

• Pricing is tailored and consumption-based, which can make budgeting more complex without an initial usage estimate; you will likely need a custom quote for predictable costs.
• Enterprise focus means smaller teams may find initial setup and integration heavier than lightweight chatbot platforms designed for non-technical users.
• Advanced customization and compliance requirements may require professional services engagement, which adds time and cost to deployment.

Sendbird AI free trial

Sendbird does not typically advertise a self-serve long-term free trial for full production AI agents; instead, they offer evaluation options and personalized demos for teams considering enterprise deployments. For developers and product teams, Sendbird often provides developer accounts, sandbox access, and SDKs that enable early-stage experimentation with messaging and simple bot flows. These developer resources are useful for prototyping before committing to a consumption contract.

If you are evaluating Sendbird AI, request a demo and a short-term evaluation plan tailored to your use case. This will provide access to sample conversation volumes and integration guidelines so you can measure latency, escalation behavior, and accuracy on representative data. For demos and pilot requests, consult Sendbird’s pricing and contact options.

Is Sendbird AI free

No, Sendbird AI is not generally available as a free production service. They provide developer tools and limited sandbox access for testing, but production use is typically billed on a consumption or contract basis. Contact their sales team or visit Sendbird’s pricing page to explore pilot arrangements or trial programs.

Sendbird AI API

Sendbird exposes APIs and SDKs that let developers integrate messaging and AI agent behaviors into web and mobile applications. The developer platform includes real-time messaging APIs, webhooks for event-driven workflows, and endpoints to fetch conversation transcripts and conversation metadata that feed the AI agent’s context window. This integration approach allows teams to build custom logic for routing, data enrichment, and analytics.

The API surface is aimed at engineering teams that need to control authentication, message persistence, and integrations with back-end systems. Common implementation tasks include:

• Synchronizing customer and account data from a CRM so the AI agent can access order history or subscription status.
• Pushing AI-generated replies into the conversation stream while tagging and logging agent confidence and reasoning for auditing purposes.
• Building custom triggers and automation rules that start proactive conversations based on user behavior.

Developers should consult Sendbird’s documentation and SDK references for API rate limits, authentication details, and sample code. Sendbird’s developer and docs hub is the authoritative source for implementation guidance: check their developer documentation for specifics.

10 Sendbird AI alternatives

Paid alternatives to Sendbird AI

• Zendesk — A widely adopted customer support platform with AI and automation add-ons; strong ticketing and multi-channel routing for traditional contact centers.
• Salesforce Service Cloud — Enterprise-grade CRM-integrated service platform with AI features (Einstein) and robust case management across channels.
• Freshdesk — Helpdesk platform with automation, messaging channels, and AI-powered bots for common support workflows.
• Intercom — Conversational support and engagement platform focused on in-product messaging and AI-driven chat automation.
• Ada — An AI-first customer service automation platform that emphasizes no-code bot building and self-service flows.
• Genesys Cloud — Contact center platform with integrated AI for voice and digital channels, suitable for large contact centers.
• Kustomer (by Meta) — Customer service CRM that centralizes conversation history and supports AI-enhanced routing and response suggestions.

Open source alternatives to Sendbird AI

• Rasa — Open source conversational AI framework for building custom chatbots with full control over models and hosting.
• Botpress — Developer-friendly open source platform for building and managing chatbots with modular components and analytics.
• OpenDialog — Conversation design platform that enables complex, rule-driven bot behavior and manages conversational state.
• Rocket.Chat — While primarily a team chat platform, it has integrations and bot frameworks that can be extended for customer-facing workflows.

Frequently asked questions about Sendbird AI

What is Sendbird AI used for?

Sendbird AI is used for omnichannel customer service and conversational automation. It handles routine support requests, proactively engages users, and routes complex queries to human agents while preserving context across channels. Companies use it to reduce response times, improve first‑contact resolution, and scale support coverage across mobile, web, SMS, and social messaging.

How does Sendbird AI integrate with existing CRMs like Zendesk or Salesforce?

Sendbird AI offers pre-built and configurable integrations for common CRMs and ticketing systems. These integrations sync customer records, ticket metadata, and conversation transcripts so the AI agent and human agents have consistent context. Integration typically involves API credentials, mapping of fields, and optional middleware to enforce data governance—review Sendbird’s developer documentation for technical steps.

Does Sendbird AI support proactive messaging?

Yes, Sendbird AI supports proactive outreach and event-driven messaging. Teams can configure triggers and AI-driven campaigns to send transactional alerts, re-engagement messages, or health-check prompts on customers’ preferred channels. Proactive flows can be governed by rules that respect consent and opt-out preferences.

Can Sendbird AI be audited for compliance and decision-making?

Yes, Sendbird AI provides auditing and logging capabilities for agent decisions. The platform records conversation history, AI responses, confidence scores, and escalation events so organizations can review agent behavior and meet regulatory auditing requirements. For technical details about encryption and compliance, see Sendbird’s security documentation.

Is Sendbird AI secure and compliant with data privacy laws?

Yes, Sendbird AI is designed with enterprise security and compliance in mind. The vendor states support for major data protection standards, encryption in transit and at rest, and region‑specific storage options; customers should confirm specific certifications such as GDPR or HIPAA for their contract. Review Sendbird’s published policies and security pages to validate compliance for your industry.

Why would a company choose Sendbird AI over a simpler chatbot?

Companies choose Sendbird AI for its omnichannel context persistence and enterprise integrations. Unlike lightweight chatbots, Sendbird emphasizes seamless handoffs, full conversation continuity across channels, and integration with systems of record—important for companies with complex workflows or regulated data. The platform also offers professional services for prompt engineering and deployment support.

When should I involve Sendbird’s professional services?

Engage professional services when you need production-grade integrations, compliance configuration, or complex prompt engineering. These services accelerate secure deployments, help tune the agent for domain-specific language, and reduce time-to-value for enterprise implementations. Many customers use professional services for initial rollout and then transition to in-house operations.

Where can I find Sendbird AI documentation and developer resources?

Sendbird’s developer documentation and SDKs are available on their docs site. The documentation includes API references, SDK guides for web and mobile, and examples for integrating with CRMs and data stores. Developers should consult Sendbird’s developer documentation for implementation details, rate limits, and best practices.

How much does Sendbird AI cost per user or per conversation?

Sendbird AI offers consumption-based and contract pricing rather than a single per-user fee. Costs are typically based on conversation volume, channels used, and support tier. Small pilots may be inexpensive, while large-scale omnichannel deployments require custom quotes—check Sendbird’s current pricing options for specifics and to request a tailored estimate.

Does Sendbird offer a careers page or partner/affiliate program?

Yes, Sendbird publishes careers and partner information through their company site. Job listings, partner programs, and opportunities for integrations are typically listed on Sendbird’s corporate pages—see Sendbird’s company and careers sections on their site for current openings and partnership details.

Sendbird AI careers

Sendbird maintains a corporate careers section that lists roles across engineering, product, sales, and professional services. For teams building AI customer service experiences, hiring priorities often include engineers familiar with real-time messaging, integrations, data privacy, and machine learning operations. Positions in customer success and solution engineering are common for enterprises implementing AI agents—these roles support onboarding, custom integrations, and ongoing optimization.

Recruiting for AI customer service roles typically emphasizes experience in conversational UX, prompt engineering, secure system integration, and compliance work for regulated industries. If you are evaluating Sendbird as a customer, look for partner or vendor references and case studies from customers in your industry to validate relevant experience.

Sendbird AI affiliate

Sendbird works with channel partners, system integrators, and technology partners to deliver integrations, value-added services, and managed deployments. If you are considering a partnership or affiliate arrangement, contact Sendbird’s partnership team for program details, revenue share, and technical requirements. Partners typically support customers through implementation, customization, and ongoing operations.

Where to find Sendbird AI reviews

Independent reviews and customer case studies can be found across software review platforms and analyst reports. Look for customer feedback on evaluation criteria such as integration ease, response accuracy, uptime, and support quality. For vendor-published customer stories and benchmarks, consult Sendbird’s resources and case studies page and cross-validate on third-party review sites before making procurement decisions.