Kore.ai

Kore.ai is one of the world's leading enterprise agentic AI platforms, purpose-built for organizations that need to deploy AI agents in production — not just in demos. Trusted by hundreds of enterprises across banking, healthcare, retail, telecom, and B2B sectors, Kore.ai serves clients including Morgan Stanley, Pfizer, Deutsche Bank, AT&T, Coca-Cola, Airbus, Shell, Eli Lilly, Johnson & Johnson, Tata Group, Autodesk, and MetLife. Its platform — the Artemis Agent Platform — is the AI-programmable foundation that makes enterprise-grade agentic AI possible at scale.

**The Artemis Agent Platform — Built for Certainty in Production**

At the heart of Kore.ai is Artemis, a next-generation agent platform built on two proprietary innovations:

- **Agent Blueprint Language (ABL™):** A typed, schema-driven language purpose-built for agentic AI. ABL lets enterprises formally define agent behavior, tools, guardrails, orchestration logic, and handoff rules in a structured, compilable format — eliminating the fragility of prompt-only agent definitions. ABL means agent logic outlasts any underlying model swap.

- **Arch™:** The platform's built-in AI solution architect. Arch turns plain-language intent into complete agent systems — including agents, workflows, tools, policies, and handoffs — and guides teams across the full agent lifecycle from idea to deployment to continuous optimization.

Together, ABL and Arch deliver Kore.ai's nine core AI advantages: Build with AI (5x faster time to value), Orchestrate with AI (parallel agents with independent fault recovery), Prove with AI (deterministic engine-enforced constraints), Test with AI (compile-time validation — zero production surprises), Deploy with AI (system-aware topology generation), Govern with AI (100% of interactions audited — vs. the industry standard of 5–10%), Scale with AI (LLM-agnostic — swap models without rebuilding), Simplify with AI (scripted and reasoning AI on one platform), and Optimize with AI (auto-tuning from real-world signals).

**AI for Service**

Kore.ai's customer service module enables enterprises to deploy autonomous AI agents that handle inquiries across voice, web, mobile, Slack, Teams, and messaging apps. Key capabilities include: pre-built and custom AI agents with agentic RAG; Agent AI (Copilot) that gives human agents real-time guidance and context; an Agentic Contact Center with AI-native workflows; Quality AI for automated conversation scoring and coaching; and Proactive Outreach for AI-driven outbound campaigns. Pre-built industry applications cover banking, healthcare (HIPAA-compliant), and retail.

**AI for Work**

The employee productivity module gives knowledge workers an intelligent AI layer across their existing enterprise stack. Key capabilities include: Enterprise Search (agentic RAG across all enterprise data sources with proper permissions); Intelligent Orchestrator (coordinates AI agents across multi-step workflows); pre-built AI agents for HR, IT, Finance, Legal, Sales, Marketing, and Engineering; and an AI Agent Builder for custom employee-facing automation. Real results: Eli Lilly handles 70% of IT service desk requests with AI; Autodoc reports 74% first-call resolution; Morgan Stanley's financial advisors gain 15–20 minutes back daily.

**Enterprise Foundation & Integrations**

LLMs: Claude, OpenAI, Llama, Cohere, Gemini, Mistral. Channels: Slack, Microsoft Teams, Zoom, Genesys, Webex, voice. Data sources: Salesforce, ServiceNow, Zendesk, Epic, SAP. Cloud/Infra: AWS, Azure, Google Cloud, private VPC, on-premise, hybrid. Strategic partnerships with Microsoft (Azure AI Foundry, M365 Copilot) and AWS (Amazon Bedrock, Amazon Q, Amazon Connect).

**Analyst Recognition (2025–2026)**

- Gartner Magic Quadrant Leader — Conversational AI Platforms (2026)

- Forrester Wave Leader — Conversational AI for Customer Service, Q2 2026

- Forrester Wave Leader — Conversational AI for Employee Services, Q3 2026

- Everest Group Leader — Agentic AI Products PEAK Matrix 2026

- Forrester Wave Leader — Cognitive Search Platforms, Q4 2025

Custom enterprise pricing only — no self-serve tiers or publicly listed prices. Pricing is based on modules selected (AI for Service, AI for Work, Artemis Platform), deployment scale, channel volume, and specific use cases. Organizations can request a demo, talk to an expert, or submit an RFP via the website. Also available via Microsoft Azure Marketplace and AWS Marketplace.