Kore.ai is an enterprise AI agent platform designed to build, orchestrate, and govern intelligent agents across work, customer service, and business processes. It combines multi-agent orchestration, search and data AI, no-code and pro-code tools, and strong security controls.
The platform targets large organizations needing scalable, compliant, and deeply integrated AI automation across departments.
| Plan | Price | Featured |
|---|---|---|
| Essential | $50/mo (Billed Monthly) | Core chatbot and automation features, Basic AI workflows, Entry-level usage limits |
| Advanced | $150/mo (Billed Monthly) | Higher usage limits, Advanced orchestration tools, Expanded integrations |
| Enterprise | Custom Pricing (Contact Sales) | Unlimited scalability, Enterprise security & governance, Dedicated support and SLAs |
Price details: https://www.topadvisor.com/products/koreai/pricing
Competitor |
Pros |
|---|---|
| Google Dialogflow | Kore.ai offers stronger enterprise governance, richer multi-agent orchestration, and more built-in analytics than Dialogflow. While Dialogflow excels at intent handling, Kore.ai is easier to scale across departments and provides deeper workflow automation without heavy custom engineering. |
| IBM Watson Assistant | Compared to Watson Assistant, Kore.ai delivers a more modern UI, faster agent development with no-code tools, and broader pre-built integrations. It also feels less rigid, allowing teams to iterate workflows faster while still meeting enterprise compliance needs. |
| Microsoft Copilot Studio | Kore.ai is more platform-agnostic, supporting diverse enterprise stacks beyond Microsoft ecosystems. It provides stronger conversational depth, agent collaboration features, and detailed observability, making it better suited for complex, multi-system automation. |
| Amazon Lex | Lex is tightly coupled with AWS, while Kore.ai offers broader integration flexibility and richer out-of-the-box tooling. Kore.ai reduces dependency on custom Lambda logic and provides more comprehensive analytics and governance for enterprise deployments. |
| Salesforce Einstein Bots | Unlike Einstein Bots, which focus mainly on Salesforce environments, Kore.ai supports cross-enterprise use cases. It excels in complex workflows, agentic orchestration, and multi-channel deployments beyond CRM-centric automation. |
Competitor |
Cons |
|---|---|
| Google Dialogflow | Dialogflow can feel simpler and cheaper for small teams, whereas Kore.ai’s enterprise focus introduces higher cost and setup complexity. For lightweight bots, Kore.ai may feel over-engineered compared to Dialogflow’s quicker entry point. |
| IBM Watson Assistant | Watson Assistant benefits from IBM’s long-standing enterprise presence and consulting ecosystem. Kore.ai, while powerful, may require more in-house expertise to fully configure advanced features without external professional services. |
| Microsoft Copilot Studio | Organizations heavily invested in Microsoft 365 may find Copilot Studio more cost-efficient and seamlessly integrated. Kore.ai can require additional integration work to match the same level of native productivity suite alignment. |
| Amazon Lex | For AWS-native teams, Lex can be cheaper and more straightforward to deploy. Kore.ai’s pricing and learning curve may be higher when teams only need basic conversational interfaces tightly coupled to AWS services. |
| Salesforce Einstein Bots | Einstein Bots are simpler for Salesforce-only use cases. Kore.ai’s broader scope can increase implementation time and cost when organizations only need basic CRM chatbot functionality. |
