Agent platform lifecycle
The platform is described as AI-programmable and built for enterprise agent systems, with support for building, governing, scaling, deploying, evaluating, and optimizing agents over their lifecycle.
Kore.ai
ClaimKore.ai is an enterprise AI platform for building, governing, and scaling AI agents for customer and employee experiences. It combines pre-built applications with tools for custom development across industries such as banking, healthcare, HR, IT, and recruiting.
Overview
Kore.ai is an enterprise AI platform focused on building and running agentic AI applications for customer and employee experiences. The site presents Artemis as its AI-programmable foundation for creating agents, workflows, and applications that can operate in production across regulated and high-volume environments.
The product combines pre-built applications, application accelerators, and tailored development tools. It is positioned for organizations that want to deploy AI agents for functions such as banking, healthcare, retail, HR, IT, recruiting, and service, while keeping control over orchestration, governance, integrations, and observability.
Core capabilities
Unified agent building
Artemis includes tools for visual and code-based authoring, plus Arch, an AI architect that turns plain-language intent into a structured agent system with agents, workflows, tools, policies, and handoffs.
Structured agent definition
The site describes ABL as a typed, schema-driven language for defining agent behavior, tools, guardrails, orchestration, and handoff logic in a formal way.
Enterprise execution layer
Artemis includes runtime, workflows, memory management, search AI, channel connectors, and integrations to connect agents with enterprise systems and data.
Evaluation and operations
The platform includes observability, agent evals, agent insights, AI analytics, and lifecycle management so teams can trace behavior, test quality, and roll out changes with control.
Pre-built apps and accelerators
Kore.ai presents pre-built applications and marketplace accelerators for industries and functions such as banking, healthcare, retail, HR, IT, and recruiting.
Typical use cases
Banking and financial services
Deploy self-service and agent-assisted workflows for regulated industries where shared context, compliance, and consistency matter.
Healthcare service workflows
Support 24/7 patient and member self-service while reducing staff burden in environments that need HIPAA-aware assistance.
IT support operations
Resolve incidents, reduce ticket volume, and provide always-on IT support with agents connected to enterprise systems and knowledge sources.
Recruiting teams
Automate screening, accelerate hiring, and engage candidates with structured recruiting workflows.
Employee productivity and process automation
Connect agents to business data and workflows so teams can automate knowledge-intensive internal processes and orchestrate work across systems.
Pros and Cons
Pros
- Combines pre-built apps with tools for custom agent development.
- Covers both customer-facing and employee-facing workflows.
- Includes governance, observability, and lifecycle management features.
- Supports integrations and deployment across multiple channels.
- Offers structured building options through Arch and ABL.
Cons
- The source does not provide public pricing or plan details.
- The site emphasizes enterprise deployment and platform depth, so it may be broader than needed for teams looking for a simple point solution.
FAQ
What is Kore.ai used for?
Kore.ai positions Artemis as an AI-programmable enterprise platform for building, governing, and scaling AI agents. The site describes both pre-built applications and a platform for tailored applications, so it appears suited to organizations that want ready-made apps as well as teams building their own agentic workflows.
Which kinds of enterprise use cases does it cover?
The source highlights enterprise modules such as AI for Service, AI for Work, and the AI Agent Platform, plus pre-built applications for banking, healthcare, retail, HR, IT, and recruiting. It is aimed at customer and employee experiences rather than a single narrow workflow.
How do teams build on the platform?
The site says the platform handles infrastructure, orchestration, observability, governance, integrations, and deployment across channels. It also mentions visual and code-based authoring in a unified workspace, along with an AI architect called Arch and a typed agent language called ABL.
Is pricing published on the site?
The pricing page in the provided evidence does not show a published pricing model or plan details. Based on the available source, users should expect to contact Kore.ai for sales or product guidance rather than compare listed tiers.
Quick Facts
- Category
- Enterprise AI platform
- Product line
- Artemis
- Primary use
- Build and deploy AI agents for customer and employee experiences
- Source domain
- kore.ai
- Notable components
- Agent Studio, Arch, ABL, runtime, observability, integrations
- Published pricing
- Not shown in the provided evidence