Crisp is an AI-driven customer messaging platform designed to centralize and automate customer conversations across channels. It combines a unified shared inbox, chat widget, knowledge base, automated workflows, and AI-powered assistants to help teams handle incoming messages from websites, apps, and social messaging platforms. The platform is positioned for small-to-medium businesses and enterprise teams that need a single place to manage support, sales, and marketing conversations.
Crisp emphasizes multichannel support: messages from web chat, email, WhatsApp, Messenger and many other channels arrive in a single collaborative inbox. This reduces context switching and preserves conversation histories, customer profiles, and CRM data in one place. The product also bundles knowledge base tools and analytics so teams can measure response performance and reduce repeat questions.
Crisp has invested in AI workflows and agent builders to automate common support tasks. The platform advertises the ability to automate a significant portion of inquiries with AI, while providing no-code automation tools for routing, tagging, and internal workflows. For official feature lists and platform updates, consult their features pages on Crisp's site.
Crisp groups core capabilities into conversation handling, knowledge management, automation, AI assistance, and analytics. These modules are designed to work together so teams can reduce manual handling of repetitive tickets while preserving human oversight for complex queries.
Commonly highlighted features include:
Crisp centralizes inbound messages, enabling teams to manage all customer touchpoints in one interface. It collects messages from multiple channels and displays them with the full conversation history, customer profile, and relevant internal notes so agents have context at a glance.
The platform also helps reduce repetitive work through automations and AI — auto-tagging, suggested responses, auto-summaries for long conversations, and AI-driven agents that can answer common questions. Teams can build internal workflows with conditional rules to escalate messages or route them to subject-matter experts.
Finally, Crisp offers tools to increase customer self-service: a searchable knowledge base and chat widget that surface help articles before an agent is required. Analytics helps teams identify frequent issues and measure the effectiveness of AI and automation strategies.
Crisp offers these pricing plans:
Crisp markets flat pricing models aimed at lowering cost per agent and offers a 14-day free trial with no credit card required so teams can evaluate the full feature set. Exact monthly and annual prices and any per-agent or per-channel fees vary over time and by promotion. Check their current pricing options for up-to-date rates, billing periods, and enterprise quotes. Visit their official pricing page for the most current information.
Crisp offers competitive monthly billing options that accommodate single users up to larger teams. Typical SaaS practice for tools like Crisp is to offer a free tier for light usage and then tiered monthly plans that increase based on channels, seats, and AI features. For exact monthly plan amounts and any discounts for annual commitments, consult Crisp's pricing overview.
Crisp provides annual billing that usually reduces the effective monthly cost compared with month-to-month subscriptions. Annual plans often include a percentage discount and better rates for teams that commit to a year. For precise yearly costs and savings percentages, see Crisp's official pricing page.
Crisp pricing ranges from a free tier to enterprise-level plans depending on feature needs and team size. Typical decision factors are number of agents, channels (e.g., WhatsApp, Messenger), AI and automation needs, and whether you require enterprise security or bespoke SLAs. For planning, review their tiers on the Crisp pricing page and request an enterprise quote if you expect high volume or specific compliance requirements.
Crisp is used primarily for customer support, lead qualification, and conversational sales. Teams deploy Crisp to provide real-time assistance on websites and apps, manage messages from social and messaging platforms, and create asynchronous support channels via email and knowledge base articles. Marketing teams also use Crisp widgets to capture leads and route prospects to sales representatives.
Support teams use Crisp to centralize tickets, reduce response time via suggested replies and AI summarization, and track objectives with support analytics. Sales teams use the same shared inbox and chat flows to qualify leads, schedule demos, and pass details into a support CRM for follow-up. Because of its CRM features, Crisp can act as a lightweight contact repository connected to conversation history.
Operational use cases include automating common workflows with no-code automations (for example, auto-assigning conversations from VIP customers), building AI agents to answer repetitive questions, and building a knowledge base to reduce inbound volume. Organizations that want a single interface for support, marketing engagement, and conversational commerce typically adopt Crisp to reduce tool fragmentation.
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When evaluating Crisp, compare channel coverage, AI capabilities, automation limits, and enterprise features such as SSO, data residency, and custom SLAs. Also verify how pricing scales with the number of agents and channels you plan to use.
Crisp offers a 14-day free trial that unlocks paid features so teams can evaluate the platform without providing a credit card. The trial is designed to let you test the full chat widget, automations, AI capabilities, and integrations in a production or staging environment. Use the trial to simulate real inbound traffic, train AI agents on your knowledge base content, and measure automation coverage.
During the trial, teams should verify channel integrations they plan to use (for example, WhatsApp and Messenger), import existing FAQs into the knowledge base, and connect single sign-on if testing Enterprise features. Trial users should also evaluate analytics and reporting to ensure those metrics match their KPIs.
After the trial, organizations can decide between continuing on a paid monthly/annual plan or staying on the free tier with limited features. For the most accurate trial terms and any changes to trial length or scope, consult Crisp's pricing and trial information.
Yes, Crisp offers a free tier and a 14-day trial of paid features. The free tier provides basic chat widget and limited inbox functionality suitable for individual users or very small teams, while the paid tiers add channels, automation, AI features, and enterprise capabilities. The free plan is useful for evaluating the platform and for low-volume use cases where advanced features are not required.
Large teams and organizations with high message volume, multiple channels, or compliance needs generally move to paid plans to access the full suite of AI agents, automations, and analytics. For current feature limits on the free tier, see Crisp's feature comparison.
Crisp exposes a public API and developer documentation for programmatic access to messages, contacts, plugins, and other resources. The API allows teams to build custom integrations, pull conversation logs for reporting, and push messages into Crisp from other systems. Developers can use the API to synchronize CRM records, automate message routing, and embed Crisp functionality into custom dashboards.
Crisp's developer documentation outlines authentication methods, endpoints, and webhook patterns for real-time event handling. It is designed to support both simple automations and more complex integrations such as linking CRM or ERP systems to conversation data. For specific endpoints, rate limits, and code examples, consult the official Crisp developer docs at Crisp API documentation.
Typical developer workflows include creating bots that reply to frequently asked questions, exporting conversation transcripts for compliance, and creating middleware that enriches messages with data from external systems. When building at scale, review rate limits and consider archiving strategies for very high-volume accounts.
Each alternative targets different priorities (self-hosting vs. managed, e-commerce integrations, product-led growth tools), so evaluate channel coverage, automation capabilities, and AI features when comparing.
Crisp is used for multichannel customer messaging and support. Teams use it to centralize conversations from web chat, email, and social messaging into a shared inbox, leverage knowledge base content for self-service, and deploy automations and AI agents to reduce manual handling. It supports use cases across customer support, sales qualification, and conversational marketing.
Crisp's AI provides suggested replies, auto-summaries, and AI agents to handle routine queries. These features reduce the average handling time by allowing agents to use pre-populated answers and to quickly understand long conversations through summaries. Properly trained AI can automate repetitive requests while humans handle exceptions.
Yes, Crisp supports integrations with messaging channels like WhatsApp and Facebook Messenger. These integrations deliver messages into the shared inbox so agents can handle cross-channel conversations without switching tools. Availability and channel-specific costs depend on the plan and any third-party gateway requirements.
Crisp includes built-in CRM features for contact and conversation history. While it's not a full-featured enterprise CRM, it stores customer metadata, tags, and past interactions that are sufficient for personalized support and light-weight sales workflows. For complex sales pipelines, teams often integrate Crisp with a dedicated CRM.
Yes, Crisp offers a free tier plus a 14-day free trial of paid features. The free tier covers basic chat widget and inbox functionality suitable for individuals or very small teams, while paid tiers unlock advanced automations, AI, and analytics. Check the trial and free tier limits on Crisp's pricing page.
Crisp focuses on real-time conversation management and AI-enhanced automations rather than traditional ticket queues. This makes it better suited for teams aiming to provide asynchronous and live chat support while automating common replies. Ticketing systems excel in structured SLA-driven workflows, so the choice depends on your support model.
Teams should consider Enterprise when they need advanced security, SSO, custom SLAs, or high-volume integrations. Enterprise plans also make sense when you require dedicated onboarding, large-scale automation limits, or data residency needs. Contact Crisp for an enterprise quote to assess specific needs.
Crisp provides developer docs and API references for integration and automation. The documentation covers REST endpoints, webhooks, and sample code to build custom bots and sync external systems; see the official Crisp API docs at Crisp API documentation.
Yes, Crisp supports multilingual messaging and AI can be configured to handle multiple languages. Channel and AI accuracy depend on training data and the languages you enable, so test common languages during the trial period and train your knowledge base content accordingly.
You can import conversation history using Crisp's API or migration tools offered by their support team. Many teams export transcripts from legacy systems and use the API to create contacts and messages in Crisp, preserving context and tags. For complex migrations, coordinate with Crisp support or professional services to maintain data integrity.
Crisp maintains a careers page where they list open roles across product, engineering, sales, and customer success. Job listings typically include remote and France-based positions, reflecting the company's European origins. Candidates should expect technical interviews for engineering roles and case-based interviews for product and customer-facing roles.
Hiring at Crisp often emphasizes experience with SaaS products, customer-facing operations, and building multilingual support systems. Engineering roles usually require knowledge of web technologies, APIs, and experience deploying scalable services. For current openings and application instructions, visit Crisp’s official careers presence linked from their main site.
Crisp has historically worked with partner programs and integrations, though affiliate program terms can change. Partners typically include agencies, platform integrators, and technology partners who embed Crisp in client deployments or build integrations. If you are interested in referral or reseller arrangements, contact Crisp through their partner or sales pages to learn current commission structures and onboarding steps.
User reviews for Crisp are available on standard SaaS review sites and marketplaces. Look for product feedback, ratings, and user comments on platforms such as G2, Capterra, and Trustpilot to read independent experiences covering setup, customer support, AI performance, and cost. For curated case studies and customer stories, consult the testimonial and case study sections on Crisp’s site and third-party review aggregators.
For the most recent feature information, pricing, and developer resources, see Crisp's official documentation and pricing pages: