Kore.ai

Kore.ai is an enterprise AI platform focused on building, deploying, governing, and optimizing AI agents and conversational experiences for customers, employees, and business processes. Founded in 2014, the company has evolved from a conversational-AI provider into a broader agentic AI platform designed for organizations that need to move AI applications from experimentation into production.

The current platform includes the Kore.ai Agent Platform, introduced as the company’s AI-programmable foundation for building and managing production AI agents. Kore.ai also provides pre-built AI applications and application accelerators for specific business functions and industries, allowing organizations to deploy ready-made experiences or build customized applications around their own workflows.

One of Kore.ai’s distinguishing characteristics is its emphasis on enterprise-grade AI rather than a single-purpose chatbot. The platform can support customer-facing agents, employee assistants, contact-center automation, knowledge search, and business-process automation. It is designed to connect AI agents with enterprise data and systems so they can do more than simply generate responses.

Agentic AI

Kore.ai’s newer Artemis Agent Platform is designed around the idea of building, governing, and optimizing AI agents at enterprise scale. It provides an AI-programmable foundation for creating multi-agent systems, orchestrating workflows, and managing agents once they are deployed. The platform was launched in May 2026 and initially became available through Microsoft Azure, with broader cloud availability planned.

The platform is intended to address the practical challenges that appear when companies move from individual AI experiments to larger collections of production agents. These include governance, observability, evaluation, security, workflow orchestration, and measuring whether agents are producing useful business outcomes.

Kore.ai also introduced an Agent Management Platform in 2026. This provides a centralized operational layer for governing and monitoring AI systems across different frameworks, clouds, and development environments, including LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry, Salesforce Agentforce, and proprietary systems.

AI for Customer Service

Kore.ai has a strong customer-service and contact-center focus. Its AI Agents can automate customer interactions across voice and digital channels, helping businesses provide self-service while reducing the workload placed on human service teams.

The platform can support conversational IVR, customer inquiries, transactional workflows, routing, and other service processes. It can also provide human agents with AI assistance, including access to customer information, conversation history, sentiment information, recommendations, and automated summaries.

This makes Kore.ai useful for organizations that want to combine autonomous customer-service agents with human representatives rather than treating AI as a complete replacement for contact-center staff.

AI for Work

Kore.ai also targets employee productivity. Its AI agents can connect employees with enterprise knowledge, applications, and workflows, allowing workers to find information and complete routine tasks through conversational interfaces.

The company positions its AI for Work offering around helping employees work with business data and systems more efficiently. Its current platform includes pre-built applications for areas such as HR, IT, and recruiting, alongside customizable applications that organizations can build for their own internal processes.

AI for Process

Another important area is business-process automation. Kore.ai’s platform can be used to automate knowledge-intensive workflows where employees would traditionally need to search through information, access several applications, or manually coordinate multiple steps.

By connecting agents to enterprise tools and data sources, organizations can create workflows in which AI retrieves information, reasons about a request, invokes the appropriate tools, and returns a result or completes an action.

Knowledge and Search

Kore.ai also provides AI-powered search and knowledge capabilities. Its platform can connect to enterprise information sources and use retrieval-based approaches to help agents find relevant information.

This is important in enterprise environments where AI responses need to be based on company-specific information rather than general-purpose model knowledge. The platform’s connector ecosystem can ingest information from systems such as GitHub and Confluence, while access controls can be applied to ensure users only receive information they are authorized to see.

Conversational AI and Multilingual Support

Although Kore.ai’s current positioning emphasizes agentic AI, its conversational-AI capabilities remain an important part of the platform. The XO Platform combines conversational AI, generative AI, NLU, analytics, integrations, and enterprise deployment capabilities.

Kore.ai has extensive multilingual capabilities. Its platform documentation states that it supports approximately 120 languages, while specific language models can be built for more than 25 popular languages. Supported languages span major global languages and include languages such as English, Arabic, Spanish, French, German, Chinese, Japanese, Korean, Hindi, and Swahili.

The exact language support can depend on the particular product, model, channel, and configuration, so the full language count should not be interpreted as meaning every feature has identical support for every language.

Integrations

Integration is one of Kore.ai’s major strengths. The platform is designed to connect AI agents with existing enterprise applications rather than requiring businesses to rebuild their technology stack.

Kore.ai provides APIs, SDKs, connectors, and integration options for business systems. Its ecosystem includes platforms such as Salesforce, Microsoft Teams, Microsoft 365, AWS services, Amazon Bedrock, Amazon Connect, and numerous other enterprise technologies.

The platform also supports newer AI ecosystems. Its Agent Management Platform can manage agents created with technologies such as LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry, and Salesforce Agentforce.

Enterprise Scale and Governance

Kore.ai is primarily aimed at organizations that need enterprise controls around AI. Security, compliance, administration, analytics, governance, and deployment options are built into its platform approach.

This is particularly important for industries such as banking, healthcare, insurance, and other sectors where customer information and business processes require strict controls. Kore.ai has historically offered both cloud and enterprise deployment options and continues to emphasize governance and operational control as AI agents become more widespread.

Pricing

Kore.ai follows an enterprise-oriented pricing model. The company does not present a single universal public price that applies to every organization. Customers are directed toward contacting Kore.ai for information and customized quotes based on their requirements.

Historically, Kore.ai has also described usage-based pricing for some conversational-AI offerings, including pricing based on conversations. However, the current product portfolio is broader, so pricing can depend on the specific solution, deployment, usage, integrations, and enterprise requirements.

Review

Kore.ai is a strong choice for organizations looking beyond a basic chatbot and seeking a broader enterprise AI platform. Its combination of AI agents, customer-service automation, employee assistants, business-process automation, knowledge search, analytics, integrations, and governance gives it considerable breadth.

One of its strongest advantages is flexibility. Businesses can use pre-built applications where a ready-made solution is sufficient or build customized applications when their workflows are more specialized. The platform’s integration capabilities also make it possible to connect AI agents with existing enterprise systems.

Its multilingual capabilities are another advantage for global organizations, while the combination of autonomous agents and human-agent assistance makes the platform suitable for contact centers that want to automate routine interactions without removing human oversight.

The main drawback is complexity. Kore.ai is built for enterprise environments and has a large collection of products, capabilities, connectors, configuration options, and governance features. Smaller teams looking for a simple plug-and-play chatbot may find the platform more extensive than necessary.

Pricing can also be difficult to compare with simpler AI tools because there is no single public price that represents the entire Kore.ai product portfolio. Organizations generally need to discuss their requirements directly with the company.

Best suited for: enterprise customer service, banking and financial services, healthcare, retail, HR, IT service management, recruiting, employee productivity, business-process automation, and organizations that need governed AI agents connected to existing enterprise systems. Kore.ai currently highlights pre-built applications for Banking, Healthcare, Retail, HR, and Recruiting, alongside broader AI for Service, AI for Work, and AI for Process offerings.