Kore.ai Review, Pricing & Alternatives (2026)

Kore.ai is an enterprise platform for AI agents, workflows, and conversational automation. The company says its software supports AI for service, AI for work, and AI for process, with deployments aimed at customer operations and employee productivity. Kore.ai says more than 500 Global 2000 organizations use its software and that it has operated in enterprise AI for more than a decade. Its current platform is the Kore.ai Agent Platform, with the Artemis edition announced on May 21, 2026. The company was founded by Raj Koneru, who is identified as CEO and founder, although the company’s site does not publish a founding year or funding total. Kore.ai remains focused on regulated, integration-heavy enterprise programs.

A typical Kore.ai workflow starts with an agent, workflow, or process definition, then adds tools, knowledge, channels, policies, and handoff rules. The platform supports no-code construction alongside formal agent definitions through Agent Blueprint Language. Arch can turn a business objective into an agent system containing agents, workflows, tools, policies, and handoffs. Runtime activity can connect to Slack, Microsoft Teams, WhatsApp Business, Twilio, SendGrid, Salesforce, HubSpot, Zendesk, SMTP, and webhooks. Teams can route conversations to staff, inspect execution traces, configure production approval, and monitor credits and usage across seven, 30, or 90 days. Voice recording is disabled by default and requires both account and project administrator activation where the Enterprise feature is enabled.

Artemis is the central 2026 technology release. Announced May 21, it adds Agent Blueprint Language, the Arch AI solution architect, six orchestration patterns, and a Dual-Brain Architecture that combines agentic reasoning with deterministic flows through shared memory. The platform is model independent, according to Kore.ai, and initially launched natively on Microsoft Azure with Microsoft Foundry, Agent 365, Entra ID, Microsoft Graph API, and Teams integrations. October 2026 release notes add reasoning-step controls, reusable MCP connections, mutual TLS for MCP servers, CI/CD release APIs, and new voice options. Decision Models answer routing checks in under half a second, compared with one to two seconds for the full AI model. Kore.ai also says its XO GPT training uses no customer data.

Kore.ai pricing combines usage blocks, custom contracts, and separately priced services. AWS Marketplace lists AI for Service at $6,600 per 660,000 units for 12 months, Interaction Gateway at $33,000 per 660,000 units, and SMS Long Code at $6,600 per 660,000 messages. It also lists a $50,000, 75-hour enterprise tune-up, $10,000 standard expert services, and a $40,000 enterprise support package. These are one-time or service fees, not subscription tiers, so they are excluded from the tier list below. A UK government marketplace listing advertises £0 per unit and a free trial with $500 starting credit, 20 requests per minute, Conversation Designer, Dialog Builder, Knowledge Graph, and Multi-Engine NLP. Workspace billing pages describe subscription plans, credit balances, top-ups, usage filters, threshold alerts, and custom deals for dedicated resources, BYOK encryption, and enterprise SLAs. That structure suits organizations needing tailored procurement, while smaller teams should pick the free trial first.

Kore.ai offers broad control, but buyers face a sales-led purchase and a substantial design burden. Cognigy is a closer match for enterprise service automation, while Microsoft Copilot Studio fits teams centered on Microsoft 365 and Power Platform. Google Dialogflow CX offers a more cloud-native conversational development route, with simpler alignment to Google Cloud services. Kore.ai differentiates itself through ABL, multi-agent orchestration, deployment choices, governance, and channels, although its marketplace units do not provide a straightforward total-cost comparison. The platform supports on-premises deployment, while private cloud is described separately as a dedicated VPC. Teams should confirm scope, residency, retention, and contract terms before buying. Organizations needing governed multi-agent enterprise automation should pick Kore.ai.