Customer support has changed quietly over the last few years. It is no longer just about adding a chatbot to a website. Many companies now rely on AI agents that can resolve tickets, pull data from internal systems, escalate complex cases, and even handle multi-step conversations without constant human supervision.

This list focuses on online platforms that offer AI agents specifically for customer service. Not theory. Not broad AI tools. These are systems built to manage support workflows, reduce repetitive work, and keep response times under control. Some are better for startups with lean teams. Others are structured for enterprise environments where compliance and integrations matter more than speed of setup.

 

Get Custom Software Development for AI Customer Service

AI agents for customer service can improve responsiveness and automate support - but they still require custom engineering and reliable integration to work well.

OSKI Solutions provides custom software development and AI integration. This includes backend systems, API connections, cloud setup, and DevOps support tailored to your product needs.

OSKI can help with:

• building backend systems for AI service workflows
• integrating AI and language models into your platform
• connecting APIs and external services
• cloud deployment and scalable infrastructure

If you’re building AI-driven customer service features and need experienced developers, contact OSKI Solutions to discuss your project and get a cost estimate.

 

 

 

1. Agentforce

Agentforce is an AI customer service agent built into a structured service platform. It handles routine and multi-step requests such as answering questions or processing returns. The agent works within defined guardrails and uses natural language processing to understand intent. Responses are generated using CRM data and internal knowledge.

The agent operates inside Service Cloud. It can access customer records, update cases, and transfer conversations to human reps when needed. A low-code builder defines topics and actions. A reasoning engine analyzes the request, gathers relevant data, and creates an action plan before responding. It supports multiple channels and input types.

Key Highlights:

• Built into Service Cloud
• Uses CRM data during interactions
• Low-code agent configuration
• Multi-channel support
• Structured handoff to human reps

Who It’s Best For:

• Teams already using Salesforce
• Structured support environments
• High-volume case management
• Hybrid AI and human workflows

Contact Information:

• Website: www.salesforce.com
• Facebook: www.facebook.com/salesforce
• Twitter: x.com/salesforce
• LinkedIn: www.linkedin.com/company/salesforce
• Instagram: www.instagram.com/salesforce
• Address: 415 Mission Street, 3rd Floor, San Francisco, CA 94105
• Phone: (+44) 800 086 8530

 

2. Zendesk

Zendesk is integrated into a helpdesk environment and focuses on resolving service requests across multiple channels. The system detects user intent and automates common workflows, allowing conversations to move from initial request to resolution when escalation is not required.

In addition to customer-facing automation, a copilot supports human agents inside the workspace. Context is surfaced automatically, suggested replies are generated, and approved actions can be executed without leaving the ticket view. Administrative AI tools provide operational insights and workflow recommendations, all functioning within the existing ticketing and knowledge base structure.

Key Highlights:

• Embedded AI agents inside helpdesk
• Cross-channel conversation handling
• Copilot for live agent assistance
• Automated ticket routing
• Operational insights for admins

Who It’s Best For:

• Teams using Zendesk as core helpdesk
• Support with repetitive request volume
• Multi-channel customer operations
• Partial automation models

Contact Information:

• Website: www.zendesk.com
• Facebook: www.facebook.com/zendesk
• Twitter: x.com/zendesk
• LinkedIn: www.linkedin.com/company/zendesk
• Instagram: www.instagram.com/zendesk
• Address: 181 Fremont St., San Francisco, CA 94105
• Phone: 1-888-851-9456

 

3. Intercom

Intercom is integrated directly into a helpdesk with a shared inbox and unified customer record. AI and human agents work in the same interface, which keeps context consistent. The agent handles conversations across chat, email, phone, and messaging apps.

The platform includes automation for routing, SLAs, and escalations without coding. AI-powered insights analyze conversations across the entire support operation. A built-in copilot drafts replies and surfaces relevant data from previous interactions and knowledge sources.

Key Highlights:

• Natively integrated AI agent
• Shared workspace for AI and human agents
• Omnichannel inbox
• Ticket automation and routing
• Conversation analysis and quality monitoring

Who It’s Best For:

• SaaS and product-led companies
• Conversational support environments
• Teams wanting AI inside helpdesk
• Blended automation and live support

Contact Information:

• Website: www.intercom.com

 

4. Freddy

Freddy works as a conversational AI layer inside customer support workflows. It answers questions in natural language and can also perform actions such as processing returns, updating subscriptions, or checking order status. Instead of following fixed scripts, it looks at the full conversation and pulls information from approved help articles, documents, and connected systems.

Admins decide what content the agent can access and whether answers should include references. It does not pull information from outside defined sources. If a request becomes sensitive or complex, the conversation moves to a human agent with the full history attached. The system also connects to external tools through APIs, which allows it to complete backend actions directly from the chat.

Key Highlights:

• Generates answers from approved knowledge sources
• Can trigger backend workflows like refunds or updates
• Maintains context across multi-step conversations
• Admin-level control over accessible data
• Escalation with full conversation transfer

Who It’s Best For:

• Retail and subscription-based businesses
• Teams with structured knowledge bases
• Support operations aiming to reduce repetitive tickets
• Companies that require strict control over AI outputs

Contact Information:

• Website: www.freshworks.com
• E-mail: sales@freshworks.com
• Facebook: www.facebook.com/FreshworksInc
• Twitter: x.com/FreshworksInc
• LinkedIn: www.linkedin.com/company/freshworks-inc
• Address: 2950 S. Delaware Street, Suite 201 San Mateo, CA 94403
• Phone: +1 (855) 747 6767

 

5. Ada

Ada is built to resolve customer conversations without relying on traditional flow-based chat logic. The system interprets intent, determines next steps, and manages interactions across chat, email, and voice. It is positioned as a broader customer experience layer rather than a standalone chatbot tool.

Performance can be tested, monitored, and refined over time using built-in evaluation tools. Multilingual support is included, along with enterprise-level security and compliance controls. The design centers on completing defined outcomes whenever possible, while still enabling escalation to human agents when judgment or intervention is required.

Key Highlights:

• Autonomous AI agents across chat, voice, and email
• Designed for full conversation resolution
• Multilingual support
• Enterprise security and compliance framework
• Performance monitoring and optimization tools

Who It’s Best For:

• Global enterprises
• Regulated industries such as finance or insurance
• Large CX teams managing high interaction volumes
• Organizations shifting from scripted bots to generative AI

Contact Information:

• Website: www.ada.cx
• E-mail: pr@ada.cx
• Twitter: x.com/ada_cx
• LinkedIn: www.linkedin.com/company/ada-cx

 

6. Fini

Fini offers an AI support agent called Sophie, designed to automate inbound customer support inside existing helpdesk systems. The agent answers questions, retrieves account details, and performs actions such as updating information or processing service requests. It works on top of platforms like Zendesk, Intercom, Salesforce, and others without replacing the underlying helpdesk.

The system focuses on accuracy and controlled reasoning rather than open-ended generation. It connects directly to knowledge bases and structured data, allowing it to resolve issues without escalating every request. Escalations include full conversation history so human agents can continue without restarting the process.

Key Highlights:

• AI agent deployed inside existing helpdesks
• Action execution such as updates and cancellations
• Knowledge-based response generation
• Escalation with full context transfer
• Enterprise security and compliance support

Who It’s Best For:

• Support teams using established helpdesk platforms
• Enterprises with high inbound ticket volume
• Financial services and regulated industries
• Teams prioritizing controlled automation over open-ended chat

Contact Information:

• Website: www.usefini.com
• Twitter: x.com/finichatAI
• LinkedIn: www.linkedin.com/company/usefini

 

7. Kore.ai 

Kore.ai brings AI agents into contact center operations with a focus on orchestration and workflow control. The agents handle self-service interactions across voice and digital channels, manage multi-turn conversations, and route requests based on intent and skills.

The platform includes modules for agent assistance, quality monitoring, workforce management, and reporting. AI agents are supported by routing logic and real-time supervision tools, which makes the setup closer to a full contact center environment than a standalone chatbot.

Key Highlights:

• AI agents across voice and digital channels
• Intent-based and skills-based routing
• Agent desktop with AI assistance
• Quality monitoring and workforce management
• Enterprise governance and integrations

Who It’s Best For:

• Large contact centers
• Enterprises with complex routing needs
• Organizations combining self-service and live agents
• Regulated industries requiring governance controls

Contact Information:

• Website: www.kore.ai
• Twitter: x.com/koredotai
• LinkedIn: www.linkedin.com/company/kore-inc
• Address: 2 Minister Court London EC3R 7BB, UK
• Phone: +44 208 0575675

 

8. NICE 

NICE is built to manage service interactions from the first request through final resolution. The system interprets intent, keeps context across conversations, and executes actions directly inside connected business systems. Unlike rule-based bots that only answer predefined questions, the platform is structured to complete full workflows.

Voice and digital channels operate within one unified environment. AI agents can escalate cases to human agents when necessary, transferring full conversation history and diagnostic data without losing context. Enterprise-level requirements such as scalability, regional coverage, compliance, and governance are embedded into the core architecture rather than added later as extensions.

Key Highlights:

• End-to-end service workflow automation
• Context preservation across channels
• Voice and digital support
• Backend system execution
• Human agent collaboration with full context

Who It’s Best For:

• Enterprise customer service teams
• Contact centers handling high volumes
• Organizations replacing scripted automation
• Businesses operating across multiple regions

Contact Information:

• Website: www.nice.com
• Facebook: www.facebook.com/OfficialNICELtd
• Twitter: x.com/NICELtd
• LinkedIn: www.linkedin.com/company/nice-systems
• Address: 6 Concourse Parkway - Suite 500 - 5th floor, Atlanta GA 30328
• Phone: +1 404 495 7220

 

9. Aisera

Aisera combines conversational AI with workflow automation. The system includes a chatbot layer for conversations and an action layer that connects to enterprise applications. It can interpret natural language requests, retrieve data from internal systems, and execute tasks such as updates or status checks without manual involvement.

The platform uses retrieval-based response generation to pull answers from knowledge bases and tickets. It supports multilingual conversations across chat and voice, and integrates with common enterprise tools. Escalations include sentiment detection and conversation logs to maintain continuity when transferring to live agents.

Key Highlights:

• Conversational AI combined with action workflows
• Retrieval-based response generation
• Multilingual support across digital and voice
• Pre-built integrations with enterprise systems
• Sentiment-based escalation to human agents

Who It’s Best For:

• Enterprises automating service workflows
• IT and customer service operations
• Organizations with complex backend systems
• Teams seeking AI-driven ticket deflection

Contact Information:

• Website: aisera.com
• E-mail: info@aisera.com
• Twitter: x.com/aisera_ai
• LinkedIn: www.linkedin.com/company/aisera
• Address: 633, River Oaks Parkway
, San Jose, CA 95134
• Phone: +1 (650) 667-4308

 

10. Zowie 

Zowie is built as a conversational layer that replaces menu-driven support with direct dialogue. Customers describe what they need, and the agent carries out actions such as processing refunds, managing exchanges, placing orders, or checking order status. It works across chat, email, voice, and social channels without requiring separate setups for each.

The platform includes tools to build, monitor, and improve AI agents inside one environment. Conversations are auditable, and responses are designed to follow predefined business logic rather than open-ended generation. Integrations with CRM, ecommerce, and ERP systems allow the agent to execute tasks instead of simply replying with instructions.

Key Highlights:

• Conversational AI focused on task execution
• Multi-channel deployment from a single setup
• Deterministic and auditable workflows
• Integrations with CRM and ecommerce systems
• Real-time monitoring and optimization tools

Who It’s Best For:

• Ecommerce and retail brands
• Enterprises replacing menu-based bots
• Teams automating transactional support flows
• Organizations needing controlled AI behavior

Contact Information:

• Website: getzowie.com
• E-mail: hello@zowie.ai
• Twitter: x.com/ZowieAI
• LinkedIn: www.linkedin.com/company/zowieai
• Instagram: www.instagram.com/zowie_ai

 

11. Sprinklr

Sprinklr operates within a broader customer experience management platform. The system is structured to engage customers across digital and social channels while maintaining consistent brand tone and compliance standards. AI agents handle service conversations, route inquiries, and support workflow automation inside a unified environment.

Service, marketing, and insights are connected within a single platform architecture. AI functionality is supported by analytics, sentiment detection, and cross-channel context tracking. Rather than functioning as isolated bots, the agents are embedded into a larger operational framework that includes case management, reporting tools, and governance controls.

Key Highlights:

• AI agents embedded in a unified CX platform
• Omnichannel digital and social support
• Integrated analytics and sentiment insights
• Workflow automation and routing
• Enterprise governance and compliance features

Who It’s Best For:

• Large global brands
• Enterprises managing social and digital engagement
• CX teams combining marketing and service data
• Organizations centralizing customer interaction tools

Contact Information:

• Website: www.sprinklr.com
• Facebook: www.facebook.com/sprinklr
• Twitter: x.com/Sprinklr
• LinkedIn: www.linkedin.com/company/sprinklr
• Instagram: www.instagram.com/sprinklr
• Address: 2201 E 6th St, Austin, Texas 78702, United States of America

 

12. Gorgias

Gorgias is designed specifically for ecommerce support and sales conversations. It handles common customer requests such as order updates, returns, discount questions, and product recommendations. The agent works directly inside ecommerce workflows, allowing actions like editing orders or checking inventory without leaving the platform.

The system combines helpdesk functions with conversational AI. It pulls customer and order data into a single view and connects with ecommerce tools and storefront platforms. The focus is practical automation of repetitive support tasks while allowing human agents to step in when conversations move beyond predefined scenarios.

Key Highlights:

• AI agent built for ecommerce workflows
• Order management and product data access
• Unified inbox for customer conversations
• Automation of repetitive support tickets
• Integration with ecommerce platforms

Who It’s Best For:

• Shopify and ecommerce brands
• Online retailers with high support volume
• Teams combining support and sales chat
• Growing brands scaling customer service

Contact Information:

• Website: www.gorgias.com

 

13. Sierra

Sierra provides AI agents designed to manage customer conversations across chat, SMS, email, voice, and messaging platforms. The system supports scheduling, account-related questions, service updates, and other structured interactions by combining conversational understanding with direct access to connected business systems.

The platform includes Agent Studio and SDK options for building and refining agents. Teams can define goals, guardrails, and workflows, then monitor performance in live conversations. Built-in observability tracks reasoning steps, tool usage, and outcomes. Customer data from existing systems can be integrated to personalize responses and trigger next actions based on real-time signals.

Key Highlights:

• AI agents deployed across chat, SMS, email, and voice
• Context preservation across channels
• Agent Studio and SDK for configuration
• Observability into agent decisions and actions
• Integration with structured customer data

Who It’s Best For:

• Enterprises with complex service journeys
• Teams combining automation with human oversight
• Regulated industries requiring traceability
• Organizations unifying multi-channel support

Contact Information:

• Website: sierra.ai
• E-mail: security@sierra.ai
• Twitter: x.com/sierraplatform
• LinkedIn: www.linkedin.com/company/sierra

 

14. Decagon

Decagon builds AI agents around structured operating procedures written in natural language. The system manages conversations across voice, chat, and email while following clearly defined workflows. Instead of relying on fixed scripts, teams describe how the agent should operate, and that description is translated into executable logic.

Testing and experimentation tools allow teams to adjust agent behavior without long engineering cycles. Integration with existing support systems makes it possible to run simulations, conduct live A B testing, and refine workflows based on real interactions. Monitoring and reporting features provide visibility into how conversations develop and where procedural changes may be necessary.

Key Highlights:

• Workflow definition through natural language AOPs
• Omnichannel deployment across voice, chat, and email
• Built-in experimentation and testing tools
• Analytics and reporting on conversations
• Integration with existing support systems

Who It’s Best For:

• Product and CX teams iterating quickly
• Enterprises seeking structured AI governance
• Organizations scaling omnichannel service
• Teams prioritizing controlled experimentation

Contact Information:

• Website: decagon.ai
• E-mail: support@decagon.ai
• Twitter: x.com/DecagonAI
• LinkedIn: www.linkedin.com/company/decagon-ai

 

15. PolyAI

PolyAI focuses on voice-based AI agents for contact centers. The system manages inbound calls such as account inquiries, bookings, billing questions, and call routing. Conversations are handled end to end, with context and intent maintained throughout the interaction rather than reduced to short prompt exchanges.

The platform includes Agent Studio for configuration and monitoring. A single agent design can be deployed across voice and digital channels without rebuilding workflows from scratch. Integration with existing contact center systems enables user authentication, record access, and transaction completion before escalation to a human agent when required.

Key Highlights:

• Voice-first AI agents for contact centers
• Multi-turn conversational handling
• Omnichannel deployment from one configuration
• Integration with contact center systems
• Monitoring and analytics for conversations

Who It’s Best For:

• Contact centers prioritizing voice automation
• Enterprises handling high inbound call volumes
• Industries such as telecom, healthcare, and finance
• Teams combining voice AI with live agents

Contact Information:

• Website: poly.ai
• E-mail: sales@poly.ai
• Facebook: www.facebook.com/PolyAIVoice
• Twitter: x.com/polyaivoice
• LinkedIn: www.linkedin.com/company/polyai
• Address: 1178 Broadway, Fl 2, New York, NY 10001, United States of America

 

16. Yellow.ai

Yellow.ai provides AI agents designed to manage customer service conversations across voice, chat, email, and messaging channels. The system interprets intent, maintains context across interactions, and executes workflows connected to backend business systems.

Agent configuration is handled through natural language setup and orchestration tools, allowing teams to define flows without building everything from scratch. Different language models can be selected depending on the task, which adds flexibility to response generation.

Key Highlights:

• AI agents across voice, chat, and email
• Natural language based agent configuration
• Multi-LLM architecture for task flexibility
• Performance analytics and optimization tools
• Pre-built integrations with enterprise systems

Who It’s Best For:

• Enterprises operating in multiple regions
• Contact centers combining automation and live agents
• Organizations requiring security and compliance controls
• Teams centralizing omnichannel support

Contact Information:

• Website: yellow.ai
• Twitter: x.com/yellowdotai
• LinkedIn: www.linkedin.com/company/yellowdotai
• Instagram: www.instagram.com/yellowdotai

 

17. Moveworks

Moveworks builds AI agents primarily for internal service and employee support, with the same reasoning model adaptable to customer-facing scenarios. The system combines search and action, allowing users to request information and trigger workflows inside connected business applications through conversational input.

Access to tools such as HR, IT, finance, and service systems is unified within a single environment. A reasoning engine plans steps, retrieves relevant data, and executes actions when permissions allow. Agents can be configured and customized inside a structured studio workspace, then deployed across chat interfaces, portals, and enterprise applications.

Key Highlights:

• AI agents combining search and action
• Reasoning engine for multi-step workflows
• Integration with enterprise applications
• Agent studio for customization
• Multilingual and omnichannel access

Who It’s Best For:

• Large enterprises with complex internal systems
• IT and HR service operations
• Organizations automating internal service desks
• Teams seeking structured governance

Contact Information:

• Website: www.moveworks.com
• E-mail: support@moveworks.com
• Twitter: x.com/moveworks
• LinkedIn: www.linkedin.com/company/moveworksai
• Address: 1400 Terra Bella Avenue, Mountain View, CA 94043

 

Conclusion

AI agents for customer service have moved well beyond scripted chat responses. Today they interpret intent, connect to backend systems, trigger workflows, and pass conversations to human agents with context intact. Some platforms are built around voice and contact centers, others around ecommerce or enterprise operations. What separates them is not whether they can reply, but how deeply they are integrated into real service processes.

At the same time, automation does not replace people - it reshapes the workload. AI agents handle volume and routine cases, while human teams focus on exceptions and complex judgment calls. The practical question is not whether to use AI, but how it fits into existing systems, compliance requirements, and operational logic. The right choice depends on context, not on promises.