Kore.ai - Enterprise Agentic AI Platform for Large Organizations

What is Kore.ai

Modern enterprises face a fundamental challenge: they sit on mountains of valuable data but struggle to turn it into actionable intelligence. Customer service teams are overwhelmed with repetitive inquiries. IT departments battle endless support tickets. Compliance requirements grow more complex by the year. And scaling AI initiatives across thousands of employees often feels like an impossible task.

This is where Kore.ai comes in. Positioned as an enterprise-grade Agentic AI application platform, Kore.ai enables large organizations to deploy intelligent AI agents that can reason, collaborate, and handle complex workflows across departments. Unlike basic chatbots or single-purpose assistants, Kore.ai's platform supports multi-agent orchestration—meaning multiple AI agents can work together, share context, and handle everything from simple queries to sophisticated decision-making processes.

The platform has earned recognition from leading industry analysts. Gartner named Kore.ai a Leader in the 2025 Magic Quadrant for Conversational AI Platforms, while Forrester positioned the company as a Leader in both the 2024 Wave: Conversational AI for Customer Service and the 2025 Wave: Cognitive Search Platforms. These accolades reflect Kore.ai's consistent performance in delivering enterprise-grade AI solutions at scale.

The proof lies in the numbers. Hundreds of enterprises trust Kore.ai to power their AI initiatives, including household names like Morgan Stanley, Pfizer, AMD, Deutsche Bank, Eli Lilly, Coca-Cola, Airbus, Johnson & Johnson, Roche, and CVS Health. Morgan Stanley alone has extended AI agents to 120,000 employees, while Pfizer has deployed 60 AI agents across its operations. These aren't pilot programs—they're mission-critical deployments transforming how enterprises operate.

Core Capabilities That Drive Enterprise Value

Kore.ai offers a comprehensive suite of tools designed specifically for enterprise AI deployment. Each capability is built with business outcomes in mind, not just technical specifications.

Multi-Agent Orchestration is the cornerstone of the platform. You can deploy multiple AI agents that work together seamlessly, sharing memory—both long-term and short-term—to maintain context across conversations and tasks. The system supports Supervisor Agents that coordinate complex workflows, Guided Full-Autonomy for varying levels of automation, and Inter Agent Protocols (A2A) that enable intelligent agents to communicate and collaborate effectively. Whether you're automating a simple customer inquiry or orchestrating a multi-step business process, this architecture scales with your needs.

The AI Engineering Tools suite accelerates your innovation cycle. Model Hub lets you integrate, manage, and orchestrate multiple AI models—including OpenAI, Azure, Google, NVIDIA, LLaMA, and Mistral—from a single interface. Prompt Studio provides over 75 pre-built prompt templates and enables cross-model experimentation to optimize responses. Evaluation Studio delivers real-time monitoring and optimization of AI agent performance, so you can continuously improve accuracy and user satisfaction.

For enterprises sitting on scattered data, Search + Data AI transforms information retrieval. With 100+ pre-built connectors and support for 70+ unstructured data sources, you can unify knowledge across your organization. The Agentic RAG (Retrieval Augmented Generation) capability ensures AI responses are grounded in your actual data, while Knowledge Graph and Multi-Vector approaches improve relevance. The Teachability feature allows the system to learn from corrections, getting smarter over time.

Enterprise-grade AI Security + Governance addresses the compliance requirements that keep CISOs awake at night. Guardrails filter inappropriate content, Role-Based Access Control ensures proper permissions, comprehensive Audit Logs track every interaction, and the platform maintains certifications including ISO 27001, GDPR, HIPAA, PCI DSS, FISMA, OWASP, and HITRUST. Financial institutions and healthcare organizations can deploy with confidence.

Whether your team prefers No-Code or Pro-Code tools, Kore.ai adapts. Business users can build AI applications using intuitive no-code builders, while professional developers get access to SDKs, Pro-Code Extensions, and MCP Integrations for deep customization. This flexibility means you can start simple and expand capabilities as your needs grow.

Finally, Observability ensures you can monitor and optimize performance. Agent Tracing provides granular visibility into agent behavior, AI Agent Insights deliver actionable analytics, Workflow Analytics reveal bottlenecks, and Event Monitoring alerts you to issues before they impact users.

Who's Using Kore.ai

Kore.ai serves enterprises across industries, each with unique challenges and measurable outcomes. Understanding who benefits most can help you envision what's possible for your organization.

In Banking and Financial Services, Kore.ai addresses the tension between delivering exceptional customer experiences and maintaining rigorous compliance. Morgan Stanley deployed AI agents for their wealth management advisors, who now save 15-20 minutes daily through automated research summaries and client interaction preparation. Deutsche Bank transformed from a single-region FAQ bot to a multi-jurisdiction automation strategy spanning their global operations. RCBC achieved a complete AI-driven customer experience transformation, reimagining how they serve customers across channels.

Healthcare organizations face some of the most stringent compliance requirements while managing high volumes of patient and member inquiries. Eli Lilly's Tech@Lilly service desk handles 70% of requests through AI agents, dramatically reducing response times while maintaining HIPAA compliance. The platform's 24/7 capability means patients can get answers whenever they need them, not just during business hours.

Retail and E-commerce companies use Kore.ai to deliver consistent experiences across channels while optimizing operations. Autodoc, a European auto parts retailer, achieved a 74% first-call resolution rate while reducing agent workload by 30%. That combination—better customer outcomes and lower operational costs—is the sweet spot enterprises are chasing.

Technology companies leverage Kore.ai for internal transformation. AMD transformed their global HR support, delivering a seamless employee experience while reducing the burden on HR teams. The platform handles everything from benefits questions to policy inquiries, freeing HR professionals to focus on strategic initiatives.

IT Departments across industries use Kore.ai to tame the support ticket avalanche. Intelligent incident resolution, reduced ticket volumes, and 24/7 availability mean IT teams can focus on innovation rather than firefighting.

Human Resources teams automate query processing, reduce manual workload, and improve the employee experience through instant answers to common questions about policies, benefits, and procedures.

Technical Architecture That Enterprises Trust

For technical decision-makers, understanding the underlying architecture is essential for evaluating whether Kore.ai fits your infrastructure requirements.

The multi-model approach through Model Hub represents a strategic flexibility that enterprises increasingly demand. Rather than locking into a single AI provider, you can leverage OpenAI, Microsoft Azure, Google, NVIDIA, LLaMA, Mistral, and others based on your specific requirements for cost, performance, or data residency. This multi-model orchestration capability means you're not vulnerable to provider lock-in or single-point-of-failure risks.

Enterprise connectivity is baked into the platform's DNA. With 100+ pre-built enterprise application connectors and support for 70+ unstructured data sources, integration is straightforward. Whether you need to connect to SAP, Salesforce, ServiceNow, or legacy systems, the platform provides the adapters and APIs needed. This matters because enterprises don't rebuild their tech stacks for AI—they need AI to work with what they have.

The security and compliance certification portfolio is among the most comprehensive in the industry. ISO 27001, GDPR, HIPAA, PCI DSS, FISMA, OWASP, and HITRUST certifications cover the major regulatory frameworks enterprises face. Role-Based Access Control, comprehensive Audit Logs, data encryption, PII masking, and content Guardrails provide the granular controls security teams require.

Deployment flexibility addresses the varied requirements of global enterprises. Whether you need public cloud, private cloud, or hybrid deployments, Kore.ai adapts to your infrastructure strategy. Data residency requirements, existing vendor relationships, and security policies all factor into deployment decisions.

The A2A (Agent-to-Agent) protocol support enables sophisticated inter-agent communication, allowing your AI agents to collaborate on complex tasks that require multiple areas of expertise. This isn't just connecting chatbots—it's building an intelligent workforce that can delegate, collaborate, and escalate as needed.

Strategic partnerships with Microsoft (Azure, AI Foundry, Teams) and AWS (Amazon Bedrock, Amazon Q, Amazon Connect) ensure the platform integrates with the cloud infrastructure most enterprises already use.

Ecosystem and Integration

Kore.ai doesn't exist in isolation—it thrives within your broader technology ecosystem. Understanding how it connects with the tools and systems you already use is crucial for successful implementation.

The Kore.ai Marketplace serves as a hub for pre-built solutions and templates. Rather than starting from scratch, you can leverage industry-specific solutions, proven workflow templates, and community-contributed innovations. This accelerates time-to-value significantly.

Developer tools span the full spectrum from low-code to pro-code. SDKs provide programmatic access to platform capabilities. Pro-Code Extensions enable deep customization for specialized requirements. Comprehensive APIs let you embed AI capabilities into existing applications. MCP (Model Context Protocol) Integrations extend functionality even further.

The knowledge management capabilities deserve special attention. With support for 70+ unstructured data sources, you can aggregate knowledge from documents, emails, wikis, and more into a unified intelligent knowledge graph. This means your AI agents can answer questions based on your actual organizational knowledge—not just static FAQ documents.

Enterprise connectors include pre-built integrations with major systems like SAP, Salesforce, ServiceNow, and countless others. The connector library continues expanding based on customer demand and partner contributions.

The Kore.ai Community provides peer support, best practice sharing, and direct access to the team's expertise. Combined with comprehensive documentation at docs.kore.ai, you have resources to guide your implementation journey.

Frequently Asked Questions