AI agents that understand context, respond with empathy, and take action autonomously.
Grade: B — Score: 75/100
Kore.ai's Agent Platform, known as Artemis, leverages advanced AI technology to create intelligent agents capable of understanding and responding to customer inquiries across various channels. These agents utilize natural language processing and machine learning to deliver human-like interactions, ensuring a seamless experience for users.
The platform supports a wide range of workflows, allowing organizations to automate customer service tasks efficiently. By integrating with existing systems and utilizing pre-built modules, businesses can deploy AI agents that not only answer questions but also perform complex tasks, enhancing overall productivity and customer satisfaction.
However, organizations must consider the risks associated with AI deployment, including potential data privacy concerns and the need for continuous monitoring and optimization of AI performance. Kore.ai addresses these challenges with enterprise-grade security measures and compliance protocols, ensuring that AI agents operate within established governance frameworks.
Automation AI Trial: $0 for 14 days
Essential: Price not publicly documented
Advanced: Price not publicly documented
Enterprise: Custom quote
Consider switching to LivePerson: LivePerson offers similar conversational AI capabilities with a focus on messaging platforms.
Kore.ai Automation AI combines DialogGPT, deterministic Dialog Tasks, Agent Nodes, hosted human-handoff integrations, voice channels, and basic Search AI in one service-oriented platform, but its paid production prices are not publicly documented. Google Dialogflow CX publishes usage pricing of $0.007 per non-generative text request and $0.06 per non-generative audio minute, with generative requests billed separately. Choose Kore.ai Automation AI for a broader packaged enterprise-service workflow, or Dialogflow CX when granular Google Cloud consumption pricing and flow-based control are the stronger priorities.
Kore.ai Automation AI is the conversational service-agent builder inside AI for Service, focused on multi-turn voice and digital interactions, DialogGPT, Agent Flows, channels, and human handoff. Artemis is Kore.ai's broader Agent Platform for building, governing, observing, and scaling multi-agent enterprise applications across service, work, and process use cases. They are separate products, so an Automation AI listing should not be treated as a renamed Artemis listing.
Not for DialogGPT's primary intent routing. DialogGPT uses embeddings, retrieval, and generative models to identify intents from task names and descriptions, resolve ambiguity, handle multiple intents, and route fulfillment without a conventional utterance-training set. Teams can still use Dialog Tasks, FAQs, synonyms, rules, and other structured controls where deterministic behavior or additional tuning is needed.
Yes. Kore.ai documents pre-built integrations for Azure OpenAI, OpenAI, Anthropic, Amazon Bedrock, and Google Gemini, alongside Kore.ai XO GPT. Its bring-your-own-model option can connect externally hosted or self-hosted enterprise models through custom integrations and authentication profiles. The selected model, prompt, and tool-calling configuration can vary by Automation AI use case.
Yes. Hosted agent-transfer integrations include Genesys, Intercom, NICE, Salesforce, ServiceNow, Drift, and custom agent connections, so a Dialog Task can route a user to a live queue without requiring a separately hosted BotKit for supported integrations. The live agent can receive a prior-chat link that is accessible up to 10 times, and an AI-generated conversation summary can be enabled as an optional handoff feature.
Yes. Kore.ai Automation AI can use the native Voice Gateway and third-party voice channels including Twilio, Alexa, AudioCodes, and IVR integrations. Voice deployments can combine speech recognition, text-to-speech, DialogGPT routing, business workflows, SIP or telephony configuration, and human-agent transfer. The trial includes 2,000 Voice Gateway minutes, while production voice allowances and commercial terms depend on the paid agreement.
Yes. Automation AI can connect an Agent Node to Search AI so responses are grounded in indexed website and PDF content and can continue across multiple turns. The 14-day trial includes basic Search AI, 100 document pages, and 10,000 search queries. Buyers needing the full Search AI retrieval feature set must price the separately billed Advanced RAG add-on.
Yes. Kore.ai supports agents with separate conversation and NLU languages, optional response translation, and a multilingual NLU model that the vendor says understands more than 100 languages. Microsoft Translator, Google Translation, or a custom translation service can be configured when the interaction language differs from the training or response language. Feature coverage varies by language, so buyers should verify the exact NLP, spell-correction, knowledge, and voice capabilities required for each deployment.
Yes. The Playground supports real-time chat or voice testing with debug logs, context objects, and session variables visible beside the conversation. Batch testing accepts CSV or JSON files containing up to 1,000 utterances and reports metrics such as accuracy, precision, recall, and F1 score. The publishing workflow can then route the tested app through administrator approval before users can access it.
Yes. Automation AI can export an app as a ZIP archive containing the agent definition, configuration, icon, and custom JavaScript when present, then import it into a new or existing agent. Full imports replace covered configurations, while incremental imports merge selected flows, tasks, NLP data, settings, dashboards, and generative-AI components. When an exported DialogGPT app uses an external LLM rather than XO GPT, the target environment requires the LLM key to be updated manually.
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