Kore.ai Pricing

Understanding Kore.ai pricing requires looking beyond individual usage rates to examine product selection, conversation volume, support packages, implementation requirements, and total cost of ownership. Kore.ai publishes several pricing dimensions through AWS Marketplace, while enterprise contracts can vary according to the products and services selected.

This guide breaks down Kore.ai's publicly available prices, explains what its AI for Service offerings include, and examines the factors that influence enterprise conversational AI costs.

Key Takeaways

• Kore.ai publishes multiple pricing dimensions through AWS Marketplace. Its general marketplace listing includes AI for Service usage blocks at $6,600 for 660,000 units, alongside separate interaction gateway and messaging charges.
• A separate AI for Service listing provides per-session pricing. The Enterprise usage dimension is listed at $0.20 per session, with additional charges for selected capabilities.
• Support and professional services have published prices. Kore.ai lists options ranging from $10,000 for Expert Services Standard to $50,000 for an Enterprise Kore Tune-Up.
• The published figures are not complete platform quotes. Total costs depend on contracted usage, selected modules, implementation scope, and applicable commercial terms.
• Kore.ai supports autonomous and assisted customer service. AI for Service includes customer-facing AI agents, real-time agent assistance, quality management, and contact center capabilities.
• Resolution outcomes provide important pricing context. Cost per resolution, first-contact resolution, customer satisfaction, and support capacity help connect platform spending with operational value.

How Much Does Kore.ai Cost in 2026?

Kore.ai provides enterprise AI products through customized commercial arrangements and AWS Marketplace listings. Publicly listed prices include usage blocks, individual service dimensions, and professional services packages. However, these prices represent specific commercial components rather than a universal subscription covering every Kore.ai product.

Kore.ai AWS Marketplace Pricing

The general Kore.ai Marketplace listing publishes six dimensions under a 12-month contract structure.

Usage-based components:

• AI for Service: $6,600 for 660,000 units.
• AI for Service Interaction Getaway: $33,000 for 660,000 units, using the product dimension's published spelling.
• SMS Long Code Messages: $6,600 for 660,000 units.

Support and professional services:

• Enterprise Support per Package: $40,000 one-time fee.
• Expert Services Standard: $10,000 one-time fee.
• Expert Services Enterprise Kore Tune-Up: $50,000 one-time fee, including a 75-hour onsite workshop.

The three usage dimensions are listed separately, allowing costs to reflect the commercial components included in a deployment. These figures should not be added together and presented as a standard Kore.ai subscription because the applicable price depends on the contracted quantities and services selected.

AI for Service Session-Based Pricing

Kore.ai also maintains a separate AI for Service listing with additional usage rates. Its published dimensions include:

• AI for Service Enterprise: $0.20 per session.
• Contact Center AI: $0.10 per usage unit.
• Quality AI: $0.05 per usage unit.
• Agent AI: $0.20 per usage unit.
• Interaction Gateway: $0.065 per usage unit.
• Interaction Gateway without ASR/TTS: $0.015 per usage unit.
• Workforce Management: $0.05 per usage unit.

The same listing shows industry-focused capabilities:

• BankAssist: $0.15 per usage unit.
• HealthAssist: $0.15 per usage unit.
• RetailAssist: $0.15 per usage unit.

Kore.ai describes an Enterprise session as a customer conversation handled by an AI agent. Other modules have their own billing dimensions, so their published unit rates should not automatically be interpreted as identical per-conversation charges.

The listing also publishes two 12-month contract dimensions: AI for Service Enterprise Support at $40,000 and AI for Service Non-Production Cloud Environment at $40,000. These rates belong to a separate marketplace offering and should not be treated as interchangeable with the 660,000-unit blocks in Kore.ai's general listing.

Does Kore.ai Offer Fixed Subscription Plans?

Kore.ai's enterprise pricing is largely customized according to deployment requirements and contracted usage. Its G2 pricing overview describes the platform's approach as usage-based and notes that the vendor does not publish standardized plan prices on G2.

The publicly available AWS Marketplace listings provide more specific pricing references, but they do not establish a single fixed monthly rate for every enterprise deployment.

What Is Included in Kore.ai's AI Platform?

Kore.ai provides an AI agent platform supporting customer service, employee workflows, and business process automation. For customer support pricing, its AI for Service offering is particularly relevant because it combines autonomous customer interactions with tools for human service teams.

AI for Service

Kore.ai's AI for Service supports customer-facing AI agents across voice and digital channels. Its capabilities include:

• Autonomous customer interactions: Handling supported inquiries using natural language understanding and connected enterprise information.
• Workflow execution: Completing approved actions such as retrieving order status, updating customer information, and processing eligible service requests.
• Channel support: Serving customers through voice, web, mobile, messaging, and other digital channels.
• Contextual handoffs: Transferring relevant conversation information when human support is appropriate.

These capabilities help explain why AI for Service has multiple usage dimensions rather than one universal price for every customer interaction.

Agent AI Assistance

Kore.ai also provides real-time assistance for human customer service representatives. Agent AI capabilities include contextual recommendations, next-best actions, knowledge retrieval, and automated summaries.

Its separate AWS Marketplace usage dimension provides a pricing reference for this capability, although the final cost depends on how it is included in the enterprise agreement.

Quality AI and Contact Center Capabilities

Quality AI supports automated evaluation and analysis of customer interactions, while Contact Center AI adds capabilities relevant to managing customer service operations. Workforce Management supports planning and operational coordination.

These products serve different functions, making module selection an important part of Kore.ai's pricing structure.

Industry-Specific AI Capabilities

Kore.ai also publishes usage dimensions for BankAssist, HealthAssist, and RetailAssist. These offerings support industry-specific customer service workflows and may be relevant to organizations requiring specialized terminology, business processes, or integration requirements.

Their marketplace prices are separate from the standard Enterprise session dimension.

What Factors Influence Kore.ai's Total Cost?

Kore.ai's published prices provide reference points, but total enterprise expenditure depends on the products purchased, the activity being billed, and the work required to deploy and operate the system.

1. Contracted Usage Volume

Kore.ai uses several usage-based pricing dimensions across its marketplace offerings. Relevant factors include:

• Conversation volume: Number of customer sessions handled by supported AI agents.
• Interaction gateway usage: Activity processed through the selected gateway configuration.
• Messaging volume: SMS activity associated with applicable billing dimensions.
• Selected capabilities: Usage attributable to Agent AI, Quality AI, or other modules.
• Peak demand: Seasonal or unexpected increases in customer service activity.

The relationship between conversation volume and total charges depends on which dimensions are included in the contract. Organizations evaluating Kore.ai's published rates should distinguish session-based usage from gateway, messaging, and individual product charges.

2. Product and Module Selection

Kore.ai supports different customer service functions through AI for Service and its related capabilities. The commercial scope may include autonomous AI agents, human agent assistance, quality management, contact center features, workforce management, and industry-specific AI applications.

The selected modules determine which pricing dimensions apply and which implementation activities are required. A deployment focused on autonomous customer interactions will have different product requirements from one centered on agent assistance or quality management.

3. Support and Professional Services

Kore.ai publishes separate prices for enterprise support and expert services. The general marketplace listing includes a $10,000 Expert Services Standard option, a $40,000 Enterprise Support package, and a $50,000 Enterprise Kore Tune-Up that includes a 75-hour onsite workshop.

Its separate AI for Service listing includes additional support and non-production environment dimensions. These charges illustrate why implementation and support costs should be distinguished from recurring usage expenditure.

4. Integration Requirements

Kore.ai supports connections to enterprise contact center, CRM, and operational systems. The company has also announced integrations with AWS services, including Amazon Connect, Amazon Bedrock, and Amazon Q.

Implementation requirements may include:

• Contact center connectivity: Connecting existing telephony and customer communication systems.
• CRM and backend integrations: Providing access to relevant customer information and approved business actions.
• Knowledge preparation: Organizing the information available to AI agents.
• Workflow configuration: Defining customer service processes and escalation rules.
• Testing: Validating conversations, actions, permissions, and service outcomes before deployment.

Actual implementation scope depends on the selected capabilities and existing technology environment.

5. AWS Infrastructure and Contract Terms

Kore.ai's marketplace listings note that additional AWS infrastructure charges may apply, depending on the deployment configuration. The AWS contract guidance explains that SaaS contracts can include defined usage entitlements and additional charges beyond those entitlements.

Relevant financial considerations include contract duration, usage quantities, optional services, and any applicable infrastructure expenses. These factors influence the total cost of ownership beyond the published usage rates.

How Kore.ai's Pricing Structure Affects ROI

Kore.ai's modular pricing means different products can contribute to customer service performance in different ways. Autonomous AI agents, human agent assistance, quality management, and contact center operations should be measured against outcomes relevant to each capability.

Measuring Autonomous Resolution

For AI for Service deployments involving autonomous agents, useful performance measures include:

• Autonomous resolution rate: Percentage of eligible customer inquiries completed without human intervention.
• First-contact resolution: Percentage of customer issues resolved during the first interaction.
• Cost per resolution: Relevant service expenditure divided by completed customer requests.
• Escalation rate: Share of conversations transferred to human representatives.
• Customer satisfaction: Quality of the experience across supported AI interactions.

These measures help determine whether conversation usage is translating into completed customer service outcomes. They also provide more context than usage charges alone when assessing the value of autonomous customer support.

Measuring Agent Assistance and Quality Management

Agent AI and Quality AI contribute to different operational results. Relevant metrics include agent productivity, average handle time, quality assurance coverage, coaching effectiveness, after-contact documentation time, and customer satisfaction.

The chosen measures should reflect whether the deployment focuses on autonomous resolution, human agent assistance, or quality management.

Connecting Platform Costs With Business Outcomes

The FinOps unit economics framework provides an approach to connecting technology spending with business value. For Kore.ai, useful financial measures can include cost per AI session, cost per assisted interaction, and cost per resolved customer inquiry.

These calculations should use the relevant contract charges and consistent definitions for each measured activity. A platform's lowest listed usage rate does not necessarily represent its total cost per successful resolution, particularly when multiple product dimensions and operational costs are involved.

Kore.ai Implementation and Security Considerations

Implementation and enterprise governance requirements form part of Kore.ai's overall cost structure. The extent of these requirements depends on the selected products, connected systems, and customer service workflows.

Deployment and Configuration

Kore.ai provides low-code and no-code tools for creating and managing AI agents. Relevant deployment activities include configuring business workflows, connecting enterprise systems, testing customer interactions, and preparing support teams to use the selected capabilities.

The scope of these activities depends on the channels, products, and integrations included in the deployment.

AI Governance and Security

Enterprise AI deployments require controls appropriate to the data being processed and the actions performed. Important considerations include access permissions, customer data protection, audit logging, workflow guardrails, monitoring, testing, and applicable industry regulations.

The NIST AI Playbook provides guidance organized around governing, mapping, measuring, and managing AI risks. The Cloud Controls Matrix also provides a framework for assessing cloud security controls and responsibilities.

These resources help frame governance requirements that may influence enterprise implementation planning.

Kore.ai Pricing Considerations for Enterprise Buyers

Kore.ai's AWS Marketplace listings establish several public pricing references, but they cover different products and commercial arrangements. A complete cost assessment should account for the following:

• Published usage blocks: AI for Service, interaction gateway, and SMS dimensions in the general Kore.ai listing.
• Session-based rates: The $0.20 Enterprise session dimension in the separate AI for Service listing.
• Additional modules: Agent AI, Quality AI, Contact Center AI, and industry-specific offerings.
• Professional services: Published support, expert services, and workshop prices.
• Deployment requirements: Integrations, configuration, testing, and administration.
• Security and governance: Controls appropriate to enterprise customer service workflows.
• Performance outcomes: Autonomous resolution, customer satisfaction, agent productivity, and cost per resolution.

Because the listings use distinct contract and usage dimensions, the published figures should be evaluated within their respective commercial scopes rather than combined into a single assumed enterprise price.

How Maven AGI Delivers Value Through Autonomous Resolution

Maven AGI provides an enterprise AI platform focused on autonomous customer service resolution across chat, voice, email, and web. Its unified reasoning engine connects enterprise knowledge, business rules, and approved actions to complete customer requests across supported systems.

Through enterprise system integrations, Maven AGI works alongside established CRM, helpdesk, and business applications, supporting efficient deployment and consistent service experiences.

Autonomous Resolution and Customer Outcomes

Maven AGI's AI agent capabilities include multi-step workflow execution, contextual knowledge retrieval, policy-aware responses, and coordinated handoffs to human support teams.

Documented customer outcomes include:

• Mastermind: The Mastermind customer story reports 93% of live chat questions answered by Agent Maven and 68% of support-page inquiries resolved autonomously.
• K1x: The K1x customer story documents a one-week integration and an 80% ticket resolution rate achieved within six weeks.
• Papaya: The Papaya customer story reports 90% of chat inquiries answered autonomously, 70% first-contact resolution, and a 50% reduction in cost per ticket.
• ClickUp: The ClickUp customer story reports a 25% increase in representative solves per hour after a one-week trial.

These results demonstrate how Maven AGI can expand support capacity, improve service efficiency, and give human agents more time for complex customer needs.

Unified Intelligence and Agent Configuration

Maven AGI uses a shared reasoning engine across supported customer service channels, enabling consistent knowledge, policy application, and contextual workflow execution. Its AI Agent Designer enables CX teams to configure, test, and improve agents using no-code tools.

Maven AGI also supports contextual escalations, providing human representatives with relevant conversation history and customer information when their expertise is needed.

Enterprise Security and Governance

Maven AGI's trust compliance program includes ISO/IEC 27001 and ISO/IEC 42001 certifications, SOC 2 Type II auditing, PCI DSS Level 1 validation, and independent HIPAA/HITECH and GDPR assessments.

The platform provides security capabilities including access controls, PII protection, audit logging, and ongoing security testing. These controls support enterprise customer service workflows across regulated and security-conscious environments.

Maven AGI Pricing

Maven AGI uses custom enterprise pricing based on deployment scope, complexity, and expected resolution volume. Its Maven Marketplace listing publishes a $25,000 minimum for a 12-month enterprise contract, representing the published contract minimum rather than a universal full-platform price.

Maven AGI connects its platform value with measurable customer service outcomes, including autonomous resolution, cost per ticket, support capacity, and customer satisfaction. Request a demo to explore Maven AGI's autonomous customer service capabilities and enterprise deployment options.

Frequently Asked Questions

How much does Kore.ai cost?

Kore.ai's general AWS Marketplace listing publishes AI for Service at $6,600 for 660,000 units and an interaction gateway dimension at $33,000 for 660,000 units. A separate AI for Service listing includes an Enterprise usage rate of $0.20 per session. These are distinct pricing dimensions rather than a single complete platform subscription.

Does Kore.ai charge per conversation?

Kore.ai's AI for Service offering includes a $0.20-per-session Enterprise pricing dimension, where a session represents a customer conversation handled by AI. Other products, including Agent AI, Quality AI, and Interaction Gateway, have separate billing units. Total costs depend on the selected modules and applicable contract terms.

What additional costs affect Kore.ai pricing?

Kore.ai's total cost can include interaction gateway usage, messaging, support packages, expert services, and deployment activities. Its general AWS Marketplace listing publishes one-time professional services fees from $10,000 to $50,000. Integration requirements, optional environments, and applicable AWS infrastructure charges can also influence total expenditure.

How does Maven AGI pricing work?

Maven AGI's AWS Marketplace listing publishes a $25,000 minimum for a 12-month custom enterprise contract. Final pricing reflects deployment scope, complexity, and expected autonomous resolution volume. The platform supports unified customer service automation across chat, voice, email, and web.

How quickly can Maven AGI be deployed?

Maven AGI uses an integration-first architecture that connects with existing CRM, helpdesk, and enterprise systems. K1x completed its integration in one week and reached an 80% autonomous ticket resolution rate within six weeks. Implementation plans align with the organization's workflows, integrations, and governance requirements.