Kore.ai Artemis

What makes it notable in 2026

It is notable because Kore.ai positions Artemis as an AI-programmable, AI-native foundation for production agents across service, work, orchestration, and governance.

Best fit and search intent

Best for enterprises that need governed agents across contact center, service operations, enterprise search, outreach, and workflow orchestration.

Distinctive capabilities

• AI Agent Builder and intelligent orchestration.
• Enterprise modules for service AI agents, proactive outreach, QA, and agent assistance.
• Admin controls and pre-built AI agents for common departments.
• Focus on production governance, optimization, and measurable business outcomes.

How to evaluate it

• Map the business process and escalation rules before building agents.
• Start with one department workflow and measure containment, resolution quality, and handoff rate.
• Use admin controls for permissions, brand behavior, and compliance boundaries.
• Compare against Salesforce Agentforce, Microsoft Agent 365, OpenAI Frontier, and ServiceNow.

Limits, risks, and buying checks

• Enterprise claims require proof through integrations, logs, role controls, and real deployment metrics.
• Agent governance can become complex if each department creates overlapping agents.
• Buyers should validate data residency, auditability, and vendor ecosystem fit.

Alternatives to compare

• OpenAI Frontier
• Salesforce Agentforce
• Microsoft Agent 365
• Google Vertex/Gemini agent platforms
• ServiceNow AI Agents

Media and launch evidence

FAQ

What is Kore.ai Artemis?

Kore.ai Artemis is the 2026 generation of Kore.ai’s Agent Platform for building, governing, and optimizing enterprise AI agents.

Who should evaluate Kore.ai Artemis?

Best for enterprises that need governed agents across contact center, service operations, enterprise search, outreach, and workflow orchestration.

What should buyers check before using Kore.ai Artemis?

Enterprise claims require proof through integrations, logs, role controls, and real deployment metrics. Agent governance can become complex if each department creates overlapping agents. Buyers should validate data residency, auditability, and vendor ecosystem fit.

Sources reviewed

• Kore.ai Artemis launch