Leena AI Agentic AI ArchitectureComprehensive Agentic AI Architecture. Open. Simple. Scalable. Future-proof.
Trusted by the industry leading brands
OVERVIEW
Agentic AI Architecture for enterprise useFlexible architecture supporting all employee-facing use cases across enterprise systems.
BREAKDOWN
Agentic architecture - deep diveBreaking down each component and illustrating how they interact to form a cohesive enterprise AI solution.
Collaborate
Channels where users interact with the Agentic AI systems
Orchestrator
Central planning and coordination engine
AI Colleagues
Specialized AI agents based on roles or systems
Studios
AOPs, Skills and Knowledge: To ground the Agentic system in Business Processes
Permissions & Access Controls
Security layer ensuring compliance and role-based access
Observability and Governance
Oversight, governance, and continuous improvement
Security & Compliance
Adherence to industry standards like HIPAA, GDPR, SOC2, etc.
DIAGRAM
Full view of what’s under the hoodBelow is a comprehensive look of the Leena AI “Agentic AI Architecture” diagram
AI COLLEAGUES
Ready-made AI Colleagues,
available out-of-the-box
available out-of-the-box
Gavin
HR Operations Specialist
3 Agent Operating Protocols
Streamlines benefits administration by validating eligibility, syncing payroll deductions, and driving enrollment completion through targeted employee nudges.
Miles
IT Operations Coordinator
4 Agent Operating Protocols
Manages IT asset lifecycle by planning refreshes, recovering unreturned devices, replenishing stock, and automating EOL software cleanup with alerts and escalations.
Harper
Finance Operations Analyst
4 Agent Operating Protocols
Automates AP processing by matching invoices to POs, detecting duplicates or fraud, and resolving aging or held invoices through targeted stakeholder follow-ups.
MULTIMODALITY
Agentic AI for enterprise
Multimodal support
Multichannel support
Multilingual support
Pre-built integrations for rapid go-live
Frequently asked questionsFor more questions 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.
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