Leena AI Agentic AI Architecture: Powering Enterprise Success

Leena AI Agentic AI Architecture

Comprehensive Agentic AI architecture. Open. Simple. Scalable. Future-proof.

Leena AI Agentic AI ArchitectureComprehensive Agentic AI architecture. Open. Simple. Scalable. Future-proof.

Trusted by global Fortune 500 enterprises

All-in-one Agentic AI architecture for enterprise useFlexible architecture supporting all employee-facing use cases across enterprise systems.

Agentic architecture - deep diveBreaking down each component and illustrating how they interact to form a cohesive enterprise AI solution

Touchpoints

Channels where users interact with the Agentic AI systems.

Orchestrator

Central engine routing tasks intelligently across agents using multi-LLMs.

Agents

Specialized AI agents with domain expertise and third-party integrations.

Workflow Studio

Configure enterprise workflows with 1000+ templates and app integrations.

Knowledge Management

Seamless knowledge integration from apps, data lakes, and scraping.

Permissions & Access Controls

Secure, role-based access with compliance and multi-tenant isolation.

Observability and Governance

Ensures ethical AI use with transparency, health dashboards, and insights.

Security & Compliance

Trusted by 500+ enterprises, HIPAA, GDPR, SOC2, SOC1, ISO 27001 compliant.

Here is the full picture...Below is a comprehensive look of the Leena AI “Agentic AI Architecture” diagram

See it in action

Agentic AI for HR

Boost global HR efficiency with Agentic AI-driven automation.

Agentic AI for IT

Streamline IT support with Agentic AI for faster resolutions.

Agentic AI for Finance

Enhance finance ops with Agentic AI for insights and accuracy.

Agentic AI for enterprise

Multimodal support

Multichannel support

Multilingual support

Seamless integrations for enhanced functionality

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The highest trust and security standards

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Frequently asked questions

Have a question that is not answered? You can contact us at support@leena.ai

What is the core agentic definition when we talk about AI?

In the context of AI, the ‘agentic definition’ refers to an AI system’s capacity for agency. This means the AI can perceive its environment, make independent decisions, and take autonomous actions to achieve specific goals. It’s about AI moving beyond passive responses to become an active participant in processes.

Can you give a simple Agentic AI definition? What is Agentic AI in essence?

Essentially, Agentic AI is an advanced form of artificial intelligence that doesn’t just answer questions or provide information, but actively performs tasks and completes actions on behalf of users. The Agentic AI definition emphasizes its ability to combine knowledge with action to get things done across various enterprise systems.

How does Agentic AI differ from generative AI?

While both are advanced AI, Agentic AI is primarily focused on action and task completion within enterprise systems, guided by specific workflows and goals. Generative AI, on the other hand, excels at creating new content (text, images, code). An Agentic AI system might use generative AI capabilities as one of its tools, but its core purpose is to act as an intelligent agent that executes tasks.

What is an agentic workflow, and how do agentic AI workflows help businesses?

An agentic workflow is a defined sequence of steps, decisions, and actions that an Agentic AI system follows to complete a specific business process. These agentic AI workflows help businesses by automating complex, often multi-system tasks (like employee onboarding or IT support resolution), ensuring consistency, improving efficiency, and freeing up human employees for more strategic work.

What are Agentic AI frameworks, and why are they important for deploying Agentic AI?

Agentic AI frameworks refer to the comprehensive architecture and underlying structure that enable Agentic AI to operate effectively, reliably, and securely within an enterprise. This framework typically includes components like an orchestrator, specialized agents, a workflow studio, knowledge management systems, integration layers, and robust security and permission controls. They are important because they provide the necessary foundation for scalable, manageable, and future-proof Agentic AI solutions.

What are the key benefits of implementing Agentic AI in an enterprise?

Implementing Agentic AI offers several key benefits, including:

Enhanced employee experience by providing a single, intelligent point of contact for tasks and information, reducing confusion from too many apps.
Increased productivity by automating routine tasks and handling complex cross-system use cases.
Improved operational efficiency by streamlining processes across various departments like HR, IT, and Finance.
Reliable and trusted assistance, as enterprise-grade Agentic AI is designed to avoid hallucinations and follow strict data permissions.

How do agentic AI workflows specifically improve the employee experience?

Agentic AI workflows improve the employee experience by making interactions with company systems seamless and intuitive. Instead of employees needing to know which system to use for a specific task (e.g., requesting leave, resolving an IT issue), the Agentic AI, guided by its workflows, handles these processes behind the scenes. This means employees get their tasks done quickly and easily, reducing frustration and allowing them to focus on their core responsibilities.

Discover the power of Enterprise Agentic AI