The 12 best enterprise chatbot platforms for 2026 (tested & ranked)

Your enterprise chatbot could slash support costs or it could frustrate customers.

The chatbot market is growing fast and projected to jump from $12 billion in 2023 to $72 billion by 2028. But not all enterprise chatbot platforms deliver the same results.

With so many enterprise chatbot solutions available, finding the best enterprise chatbot platform for your needs takes evaluation. We tested and ranked 12 top enterprise chatbot software options to help you choose the right enterprise ai chatbot for 2026.

• SparrowDesk Zoona: Contextual AI for scalable support automation
• Crescendo.ai: Fully managed AI with human support backup
• Rasa: Developer-first platform for customizable conversational AI
• Kore.ai: Multi-agent AI for complex automation workflows
• Boost.ai: No code AI built for regulated industries
• Freshchat: Easy-to-use omnichannel chatbot
• Drift: Conversational chat focused on sales and lead generation
• Ada: High-volume AI focused on automated resolutions
• LivePerson: Messaging-first platform for scale
• Sprinklr: Unified platform for global customer experience
• Cognigy: Advanced AI orchestration for enterprise workflows
• Intercom Fin: Multimodal AI for modern customer support

Comparison table: Enterprise chatbot platforms

Before we dive into each platform in detail, here’s a quick side-by-side view to help you scan, compare, and shortlist the right options faster.

1. SparrowDesk Zoona

SparrowDesk Zoona is an AI-powered enterprise chatbot platform designed to help businesses automate, scale, and optimize customer support without losing the human touch.

Unlike standalone AI tools, Zoona blends intelligent automation with contextual understanding across your entire support ecosystem making it a powerful enterprise chatbot for modern support teams.

From onboarding to optimization, Zoona is built to integrate deeply with your workflows while remaining easy to use, even for non-technical teams.

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Key features

• Zoona delivers omnichannel AI support across chat, email, and other digital touchpoints, enabling seamless conversations throughout the customer journey.
• As an advanced enterprise chatbot platform, it leverages contextual AI trained on your knowledge base, past tickets, and workflows to deliver accurate, human-like responses.
• The platform supports intelligent ticket deflection, automated resolution, and smart routing ensuring that complex queries are escalated with full context.
• Zoona continuously learns from interactions, improving response quality and reducing resolution time over time.
• With strong natural language understanding, Zoona can interpret intent, sentiment, and urgency, enabling more personalized and relevant responses.
• It also maintains conversation continuity across channels, so customers never have to repeat themselves.
• Zoona integrates natively with helpdesks, CRMs, and business tools, allowing it to pull real-time data and take actions like updating tickets, fetching order details, or triggering workflows all within the conversation.
• Advanced analytics provide deep insights into customer behavior, resolution efficiency, and AI performance.
• Teams can track CSAT, identify gaps, and optimize support strategies directly within the platform.
• Security and scalability are built in, making Zoona suitable for enterprise use. Features include role-based access, secure data handling, and enterprise-grade compliance standards.

Pros and cons

Pros:

• Powerful AI-driven automation tailored for enterprise-scale support
• Deep integration with existing support and business tools
• Continuous learning improves accuracy and efficiency over time
• Strong contextual understanding reduces repetitive queries
• Scales easily without increasing support headcount

Cons:

• Marketplace is still developing
• More integrations are yet to come

Pricing

Zoona offers simple, scalable pricing at $0.70 per resolution, making it a cost-effective enterprise chatbot platform for businesses looking to scale support efficiently.

Best for

Zoona is best suited for growing businesses and enterprises looking to implement a scalable enterprise chatbot without sacrificing control or customization.

It works particularly well for SaaS, e-commerce, fintech, and digital-first companies that want to:

• Automate high-volume support
• Improve response times and CSAT
• Reduce operational costs
• Build a smarter, AI-first support system

Zoona is ideal if you want the power of an enterprise chatbot platform with the flexibility to adapt it to your workflows not the other way around.

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2. Crescendo.ai

Crescendo.ai operates as a fully managed enterprise chatbot platform that combines AI automation with human support services.

Crescendo handles deployment, integration, ongoing maintenance and provides human agents for escalations, unlike software-only solutions.

Your team needs no technical know-how because their AI engineers manage 100% of onboarding, deployment and ongoing maintenance.

Key features

• The platform delivers multimodal AI capabilities across chat, voice, email and SMS channels. Customers can upload images or screenshots for quick diagnosis.
• The AI recognizes product issues, forms, errors and receipts within the same conversation. The AI continues the interaction and remembers full conversation history when customers switch channels.
• Crescendo supports 50+ languages with native-level fluency. AI-generated responses achieve 99.8% answer accuracy.
• The system handles unlimited simultaneous sessions without limits on concurrent sessions for chat and voice.
• Advanced features include automated CSAT calculation using AI analysis of customer tone, keywords, resolution time and interaction outcomes.
• The platform integrates with CRMs, helpdesks, ERPs and custom databases that already exist. This includes Salesforce, Zendesk, HubSpot, Shopify and BigCommerce.
• Security features include SOC 2 and HIPAA compliance, role-based access controls, private data stores and end-to-end encryption.
• White-label customization allows you to brand the support interface with your colors, logo, typography, tone, signature and greetings.
• The Configuration API and MCP service enable agentic AI management and allow continuous self-improvement of the system.

Pros and cons

Pros:

• Fully managed service eliminates IT workload
• Human agents available for complex escalations
• Total Outcome Guarantee on quality and CSAT
• No payment for AI resolutions rated negatively

Cons:

• Per-resolution pricing can get expensive with high ticket volumes
• Less control than self-managed platforms
• Dependence on their team for changes and optimization

Pricing

• Crescendo charges USD 1.25 per resolution with volume discounts available.
• A starting monthly service fee of USD 2900 covers the all-in-one AI suite, operational AI support and ongoing professional optimization.
• The managed AI service tier offers pricing starting at USD 2.99 per resolution with 24/7 coverage, full human team handoff and 100% quality assurance.

No setup fees apply. The first month is free if AI-resolved interactions don't outperform your previous provider's CSAT.

Best for

Crescendo works best for enterprises wanting 24/7 global support in multiple languages without hiring large teams. The platform suits retail, e-commerce, SaaS, healthcare and fitness businesses that seek to reduce costs and operational complexity by a lot.

3. Rasa

Rasa provides an open-source framework built for developers who need complete control over their enterprise chatbot platform. Independent testing gave the platform a 9.4/10 score with perfect marks for containment depth, governance, multi-channel support and deployment flexibility.

Key features

• The Rasa Platform combines pro-code infrastructure with optional no-code UI through Rasa Studio. CALM (Conversational AI with Language Models) handles dialog understanding and management.
• It uses patented Orchestrator technology to coordinate interactions across multiple systems without losing context.
• The system maintains state through context switches when conversations span CRM lookups, authentication and order management.
• Conversation repair stands out as a core capability. The platform manages digressions and topic changes while handling unexpected user inputs.
• LLM-agnostic architecture lets you select and switch between different language models based on specific needs. This avoids vendor lock-in.
• Rasa Pro delivers language-agnostic natural language understanding, contextual response rephraser and custom actions server through Rasa SDK.
• Channel connectors via REST and WebSocket round out the offering. Kubernetes deployment support through Helm, dependency vulnerability protection and secrets management powered by Vault provide enterprise-grade security.
• OpenTelemetry enables observability while Redis handles multi-node concurrency. Kafka powers the conversational data pipeline for scalability.
• Rasa Studio adds a no-code AI assistant flow builder, testing panel and content management system. You also get conversation view for analysis and role-based access control.
• Finance, healthcare and government sectors requiring full data control benefit from on-premise deployment options that ensure GDPR or HIPAA compliance.

Pros and cons

Pros:

• Complete customization of conversational flows and architecture
• Self-hosted deployment maintains full data control
• Works with any large language model
• Handles 50% of service desk questions without human intervention
• Reduces operational expenses by 50% enterprise-wide

Cons:

• Steep learning curve requiring Python expertise
• Time-intensive original setup and training
• Your team bears infrastructure management responsibility
• Limited out-of-the-box functionality compared to SaaS platforms
• Non-technical users will struggle

Pricing

• Developer Edition offers free access to Rasa with one bot per company. It supports up to 1,000 external conversations monthly and 100 for internal agents. The Rasa Forum provides community support.
• Enterprise pricing uses custom quotes based on annual conversation volume rather than per-user or per-seat models. Premium support has a dedicated Customer Success Manager, improved 24/7/365 response times and best practice guidance. Growth license investment typically starts at USD 35,000.

Best for

Rasa suits enterprises with developer teams requiring customizable, secure conversational AI. Financial services, healthcare and telecommunications benefit from on-premise deployment options.

Organizations expecting high conversation volumes can scale well. Autodesk projects 200 million user conversations by 2026. You need Python developers and conversational AI architecture knowledge.

4. Kore.ai

Kore.ai earned recognition as a leader in the Gartner Magic Quadrant for Conversational AI Platforms in 2025 and the Forrester Wave for Conversational AI for Customer Service in Q2 2024. Over 450 Global 2000 companies use the platform, which features an agent platform built for enterprise AI transformation.

Key features

• The agent enterprise chatbot platform provides multi-agent orchestration infrastructure where AI agents cooperate, share memory, and handle decision-making tasks.
• Three core offerings address different needs. AI for Service automates customer interactions across voice and digital channels.
• AI for Work improves employee productivity through an AI assistant with pre-built agents for ITSM and HR. AI for Process automates knowledge-intensive tasks within business processes.
• You get access to 200+ production-ready templates that customize in minutes and deploy right away. The platform connects through 100+ pre-built search connectors and supports agentic RAG for powerful information retrieval.
• Integration capabilities span CRM systems, ticketing platforms, collaboration tools and databases via 70+ prebuilt connectors.
• Security features include SOC 2 Type II, HIPAA, GDPR and ISO 27001 compliance. Role-based access control manages AI model configuration and deployment with role-specific permissions.
• Audit logs maintain time-stamped records of user activity for transparency and regulatory compliance. The platform offers flexible deployment across cloud, hybrid or on-premise environments.

Pros and cons

Pros:

• Powerful conversational design tools with visual canvas for mapping user journeys
• Strong enterprise-grade security with encryption layers and compliance standards
• Advanced NLU capabilities combining intent detection, contextual memory and domain tuning
• Extensive integration ecosystem connecting smoothly with CRM, helpdesk, HRIS and ERP systems
• Rich analytics showing drop-off points, user behavior and automation ROI
• Global-ready platform supporting multilingual deployments and localization

Cons:

• Steep learning curve that overwhelms new teams at first
• Complex setup for advanced automation that requires deeper configuration
• Cluttered UI with dense configuration menus that slow navigation
• Dependency on add-ons for premium analytics or improved model tuning
• Overhead for small teams that exceeds what early-stage organizations need
• Updates may cause temporary compatibility issues that require retesting

Pricing

The platform uses session-based billing where conversations are charged in 15-minute increments. A 31-minute conversation counts as three sessions.

Contact Center AI uses per-agent seat pricing with named or concurrent seat models. Voice Gateway, speech recognition and advanced analytics add separate costs.

Best for

Kore.ai suits large enterprises with strict compliance needs, dedicated IT resources and complex automation requirements. Financial services, healthcare and telecommunications benefit from on-premise deployment and resilient security.

Organizations handling high interaction volumes across channels of all types find value in the detailed feature set.

5. Boost.ai

Boost.ai earned recognition as a Leader in the 2025 Gartner Magic Quadrant for Conversational AI Platforms, specializing in regulated industries. The Norwegian enterprise chatbot platform serves Fortune 1000 companies across financial services, healthcare, e-commerce, and public sector organizations.

Key features

• The platform delivers a no-code interface with flexible language understanding capabilities. Your teams can build and manage virtual agents without technical expertise through accessible training tools and e-learning materials.
• Hybrid control combines traditional NLU with large language models. This enables fast deployment and high-resolution rates.
• The system arranges between both technologies naturally and maintains conversation context across complex interactions.
• The platform demonstrates proven enterprise scale with over 650 successful deployments, 600 live virtual agents, and more than 150 million automated conversations.
• Security features meet requirements for regulated environments, including standards for privacy and auditability.
• Analytics tools provide deep insights into virtual agent performance. You can track AI predictions and monitor conversation quality.
• The platform gives you access to detailed reports on customer interactions. Multi-channel deployment is supported and the system combines smoothly with existing enterprise systems.
• Clients include Nordea, Credit Union of Colorado, Sage, DNB, and Trading 212. The platform maintains a 4.8/5 star customer satisfaction rating. 94% of users recommend the solution.

Pros and cons

Pros:

• No-code platform enables business users to train agents without technical skills
• User-friendly interface with short learning curve
• Strong analytics and model training features
• Excellent language understanding, especially when you have Nordic languages
• Full governance with no black box AI decisions
• Consistent and predictable results

Cons:

• Analytics for measuring customer satisfaction and first contact resolution can be challenging
• Limited pre-made virtual agents for specific industry roles
• Multi-tenant user interface doesn't support multiple developers working at the same time
• Query detection issues occur occasionally, though improving

Pricing

Starting at USD 50,000 per year. Pricing uses custom quotes based on deployment scope and conversation volume. Contact their sales team to get enterprise pricing tailored to your requirements.

Best for

Boost.ai suits enterprises in regulated industries requiring security, compliance, and full operational control. Financial services, healthcare, and government organizations benefit from the platform's focus on privacy and auditability. Companies with EUR 25 million+ in revenue and teams of 100+ employees find value in the no-code approach.

6. Freshchat by Freshworks

Freshchat delivers an AI-driven omnichannel chatbot solution built around Freddy AI. The platform helps businesses that want automation without technical complexity.

Customer conversations happen on website chat, mobile apps, WhatsApp, Facebook Messenger, Instagram, Apple Business Chat, and LINE. All channels consolidate into a single inbox that agents can use.

Key features

• The no-code bot builder lets you launch chatbots within minutes. You can use drag-and-drop interfaces and natural language prompts.
• Freddy AI processes customer questions through NLP and machine learning and handles informal or complex questions with accurate responses. IntelliAssign routes conversations to appropriate agents using skill-based assignment, intelligent load-balancing, and round-robin distribution when automated resolution fails.
• Generative AI features assist agents by summarizing ticket conversations and predicting responses.
• The system adjusts tone to match brand voice and suggests next steps in the support process. The platform supports conversations and FAQs in over 40 languages.
• You get analytics dashboards that track conversation volume, response times, CSAT scores, agent performance, and bot effectiveness besides chat automation.
• Security compliance has GDPR, ISO-27001, and SOC 2 Type-II certification. The company commits to never using personally identifiable information to train AI models.

Pros and cons

Pros:

• Quick deployment with no-code builder that requires no technical skills
• Smooth handoff from bot to human agent with full context retention
• Native integrations on major messaging channels
• Strong security compliance that regulated industries need

Cons:

• Limited flexibility without other Freshworks products
• Separate bot setup required on each channel creates duplicated work
• Advanced features locked behind higher pricing tiers
• Per-agent costs scale with team size

Pricing

Freddy AI Agent sessions beyond the 500 monthly sessions cost USD 100.00 per 1,000 additional sessions. Freddy AI Copilot adds USD 29.00 per agent monthly.

Best for

Freshchat suits digital-first businesses in e-commerce, SaaS, and services that need expandable conversational support. Companies that already use Freshworks products benefit most from tight integration with the suite.

7. Drift

Salesloft acquired Drift in 2024. Drift now operates as a conversational marketing platform that converts website visitors into qualified pipeline through up-to-the-minute chat experiences.

The AI chat agent participates with visitors through customized conversations and delivers better buyer experiences with more qualified leads.

Key features

Drift AI identifies high-intent buyers using relevant account data that includes company name, location and account history. The system scores engagement up to the minute and delivers the right chat experience to convert them. Visitors from high-intent accounts interact with Drift, and the system routes qualified buyers into the seller's Rhythm workflow as a prioritized action.

Fastlane uses your tech stack data to identify and qualify high-value buyers up to the minute. They can skip forms and connect right away. The meeting booking feature lets visitors schedule directly with your staff without third-party integrations.

The platform provides three report types: Team Performance tracks response times, Conversation Volume contains general conversation data, and Routing Rules shows where conversations route. Analytics display meetings booked, leads acquired and conversations generated.

Pros and cons

Pros:

• Targeted lead generation with better than average conversion
• Up-to-the-minute engagement reduces drop-off and accelerates sales cycles
• Native integrations with Salesforce, HubSpot, Marketo and Zapier

Cons:

• Multiple teams feature requires Enterprise plan
• Slow loading dashboards and profile mix-ups reported
• No transparent pricing creates buying friction

Pricing

Best for

Drift suits enterprise teams with strong inbound traffic, dedicated SDR coverage and Salesforce-heavy tech stacks.

8. Ada

Ada takes a different approach than most enterprise chatbot platforms. The AI Resolution Engine completes actions rather than deflecting questions to FAQ pages: it processes refunds and tracks orders while troubleshooting technical issues. Companies like Meta, Shopify, and Square use Ada to handle millions of conversations.

Key features

• The no-code builder lets support managers update flows without engineering help. Your AI trains on existing help center content from Zendesk or Salesforce knowledge bases and starts resolution within days.
• Ada arranges multiple large language models to select the most appropriate model for each query and ensures customers receive accurate responses.
• Multilingual support covers 50+ languages with cultural adaptation, not just translation. A Spanish-speaking customer in Mexico gets a different tone than one in Spain.
• The platform works on web chat, mobile apps, social media (Facebook Messenger, Instagram, WhatsApp), SMS, and phone. Conversation context remains intact when customers switch channels.

Pros and cons

Pros:

• Resolves 70%+ of conversations without human involvement
• Cultural adaptation in 50+ languages beyond word-for-word translation
• Handles massive scale for enterprise clients processing millions of conversations
• Multi-channel support maintains continuous conversation context

Cons:

• Pricing is opaque with no public pricing page
• Annual contracts are required, which makes testing difficult without commitment
• Onboarding takes 2-4 weeks minimum
• Custom integrations beyond standard connectors require developer resources

Pricing

Best for

Ada suits mid-market companies handling 10,000+ monthly tickets. E-commerce businesses benefit from automating high volumes during peak seasons without hiring temporary agents.

9. LivePerson

LivePerson handles over one billion customer messages monthly and positions itself as an enterprise leader in conversational AI for messaging-first customer involvement.

The enterprise platform serves over 1,000 enterprise brands across 100+ countries. Gartner recognized it as a Niche Player in the 2025 Magic Quadrant for Conversational AI Platforms.

Key features

• The Conversation Builder provides a no-code interface that allows non-technical staff to create, optimize and visualize bots across all messaging channels.
• Intent Manager uses advanced analytics to identify customer true intentions and updates real-time customer data to optimize business decisions.
• The platform arranges what LivePerson calls the "human-bot tango," where conversations transfer naturally between AI agents and human agents within the same workspace.
• Generative AI capabilities include Copilot Suite for agent assistance, automated conversation summaries, hallucination detection for URLs and contact information, and bring-your-own LLM integration.
• Analytics Studio combines metrics for sentiments, intents, operations, bots and voice analytics in one dashboard. Security compliance covers GDPR, HIPAA and PCI DSS standards.
• The platform supports 50+ messaging channels including WhatsApp, SMS, Instagram, Google RCS, Apple Messaging for Business and WeChat.
• Voice integration works through Connect to Messaging (C2M), an IVR deflection solution that moves voice calls to messaging.

Pros and cons

Pros:

• Massive enterprise scale processing billions of interactions
• Strong AI support improving customer involvement across channels
• Flexible deployment with bring-your-own LLM capabilities
• Conversational commerce focus

Cons:

• Steep learning curve requiring developer skills for core functions
• Limited to messaging mostly, not full omnichannel voice
• Complex customization needs inflate operating costs
• Case management requires integration work

Pricing

Average annual contracts reach USD 61,000, with enterprise deals ranging USD 110,000+.

Best for

LivePerson suits large enterprises handling massive messaging volumes across multiple channels. Companies seeking messaging-first customer involvement with strong compliance requirements benefit most.

10. Sprinklr

Sprinklr earned Leader status in the 2026 Gartner Magic Quadrant for VOC Platforms and recognition as a Strong Performer in The Forrester Wave for Conversational AI for Customer Service in Q2 2024.

This enterprise chatbot platform unifies customer interactions across 30+ channels with AI-native infrastructure built to support global operations.

Key features

• /unoThe platform supports 25+ digital channels and over 100 languages and enables omnichannel customer service.
• Sprinklr AI chatbot uses large language models with no-code builders and drag-and-drop interfaces.
• Smart Response Compliance, Scheduled Exports, and bot performance analytics help track containment rates and identify emerging conversation topics.
• Generative AI enrichment through Sprinklr AI+ merges OpenAI and Vertex models. Enterprise-grade security has SOC 2 Type II certification with specialized AI and rule engines for data protection.
• The platform handles customer questions in multiple languages across digital channels of all types and supports over 400 customer agents.

Pros and cons

Pros:

• Answers almost all customer queries automatically
• Collects data on customer interactions and behaviors
• Easy knowledge base and automation management

Cons:

• Long learning process due to wide range of features
• Different terminology from other programs

Pricing

Self-service starts at USD 299.00 per user monthly, billed annually. Enterprise contracts start around USD 35,000.00 per year typically, with median contracts reaching roughly USD 129,000.00 annually.

Best for

Sprinklr suits Fortune 500 corporations with 50+ social media managers needing compliance across 30+ countries. Companies requiring six-figure budgets and 3-6 month onboarding processes benefit most.

11. Cognigy

NICE acquired this German enterprise chatbot platform in 2023, expanding contact center AI capabilities. Forrester Wave 2026 named it a Leader for Conversational AI Platforms. Cognigy powers over 1 billion annual interactions for global brands.

Key features

• Agent orchestration combines LLM integration with up-to-the-minute decisioning in 100+ languages. The visual conversation flow builder uses node-based structure.
• You can design complex dialogs without coding. Hybrid NLU blends machine learning with rule-based training for accurate intent recognition.
• Prebuilt omnichannel connectors support WhatsApp, Slack, phone, and web deployment. Security certifications include HIPAA, GDPR, ISO27001, and SOC 2 Type II.
• You can deploy on-premise, private cloud, or SaaS to meet data sovereignty requirements.
• Knowledge AI v2.0 uses Retrieval-Augmented Generation. LLMs work on your data with full control and source citations. Agent Copilot provides up-to-the-minute human agent assistance.

Pros and cons

Pros:

• Enterprise-ready with strong security certifications
• LLM orchestration and decisioning capabilities
• Visual agent builder for non-technical users
• Built-in integrations and marketplace

Cons:

• High learning curve for custom use cases
• Documentation gaps on advanced workflows
• No free plan or trial access

Pricing

Most enterprise contracts begin above USD 300,000 per year. The platform charges for voice, chat, and LLM workloads as separate items. Entry-level discussions start around USD 2,500 monthly.

Best for

Cognigy suits large enterprises in banking and healthcare with high interaction volumes and internal teams managing complex implementations.

12. Intercom Fin

Intercom's Fin charges USD 0.99 per resolution using outcome-based pricing. Built on GPT-4 and proprietary technology, this enterprise chatbot platform reports 67% resolution rates across 40 million+ conversations.

Key features

• Fin trains on your help center content, websites, and knowledge snippets without coding requirements.
• The system supports voice (Fin Voice) and image input (Fin Vision) when customers send screenshots, receipts, or error messages.
• MCP/data connectors retrieve immediate customer data from Shopify, Salesforce, Stripe, and Jira. This transforms Fin from a knowledge bot into an action-taking agent.
• Multilingual support covers 45+ languages with automatic detection.
• The platform works on email, live chat, WhatsApp, Messenger, and voice channels. Security certifications include GDPR, CCPA, SOC 2 Type II, HIPAA, and ISO 27001, 27018, 27701, and 42001.

Pros and cons

Pros: Voice and image modalities handle complex visual queries. Deep dynamic integrations access live customer data from different systems. Proven scale with strong compliance posture.

Cons: Resolution-based billing creates unpredictable costs as performance improves. Copilot costs USD 35.00 per agent monthly as a separate add-on. No internal-note-only mode limits safe rollout options.

Pricing

Best for

Fin suits businesses needing advanced modalities and compliance certifications that handle 10,000+ monthly support queries with unpredictable resolution costs.

Conclusion

The right enterprise chatbot platform depends on your specific needs, budget and technical capabilities. Some platforms like SparrowDesk Zoona, Crescendo.ai and Ada focus on managed services with per-resolution pricing. Others like Rasa and Cognigy offer customization for teams with developer resources. Your decision should arrange with your conversation volume and security requirements.

Take the case of regulated industries requiring on-premise deployment with Boost.ai or Kore.ai. E-commerce businesses need quick setup through Freshchat. Start by identifying your must-have features and request demos from your top three choices. Your perfect platform balances functionality, cost and ease of implementation.