The enterprise Agentic AI architecture that actually ships.

Agentic AI refers to autonomous AI systems that can plan, reason, and execute multi-step business processes with human-like agency - not just answer questions. Unlike traditional chatbots that respond to single prompts, Agentic AI like Leena AI’s AI Colleagues persist across time, take actions in enterprise applications, handle exceptions, and complete end-to-end workflows independently.

An AI Colleague is a persistent digital worker assigned a specific job role - like IT Operations Coordinator, HR Operations Specialist, or Finance Operations Analyst. Each AI Colleague has a defined identity, follows Agent Operating Protocols (AOPs), executes tools across enterprise apps, builds memory over time, and escalates edge cases to a human manager.

An AOP is to AI Colleagues what a Standard Operating Procedure (SOP) is to humans - a business process blueprint written in plain English that grounds AI Colleagues in your company’s actual workflows. Business users can create AOPs by uploading existing SOPs, describing processes conversationally, or referencing company-specific rules, with no coding required.

The Orchestrator is the central planning engine that evaluates incoming requests from any touchpoint, breaks them into smaller tasks, builds an intelligent execution plan, and dispatches work to the right AI Colleagues. It leverages multiple LLMs - including Leena’s proprietary WorkLM™, GPT-5.5, Claude Opus 4.8, Gemini 3.5, and Llama 4 - picking the best model for each task.

WorkLM™ is Leena AI’s proprietary large language model, fine-tuned on 10M+ proprietary synthetic data points to understand enterprise business processes. Unlike consumer-grade LLMs, WorkLM™ understands real workflows - for example, that a Purchase Requisition (PR) typically precedes a Purchase Order (PO) - making it more reliable for enterprise automation.

AI Colleagues can go live in days, not months. The three-step process is: plug in your existing knowledge sources (SharePoint, Confluence, ServiceNow, etc.), switch on application connectors with pre-built integrations across 200+ enterprise systems, and drag in pre-built tools from the Tool Registry. No migration projects, no custom code.

Leena AI offers 200+ pre-built integrations across HRIS, ITSM, ERP, identity, and business apps - including Workday, SAP, ServiceNow, Salesforce, Oracle, UKG, BambooHR, Coupa, SharePoint, Confluence, Snowflake, Databricks, HubSpot, Zendesk, Jira, and more. Where APIs aren’t available, AI Colleagues use browser-based skills to operate apps like a human would.

Leena AI is trusted by 500+ enterprises globally and holds HIPAA, SOC 2, ISO/IEC 27001, 27701, 27017, 27018, and GDPR certifications. Data is encrypted with AES-256-GCM at rest and TLS 1.2+ in transit, with AWS KMS-managed keys, encrypted backups, SSO via SAML 2.0/OAuth, MFA, and role-based access controls.

Yes, AI Colleagues are designed for restricted data by default. All controls - encryption, RBAC, logging, and data erasure - assume processing of confidential information including PII and PHI, making them suitable for healthcare, finance, and other regulated industries.

Leena AI supports three deployment models to meet data residency and isolation needs: shared public cloud (multi-tenant with full logical isolation), isolated public cloud (single-tenant environments), and private cloud / VPC deployment. Deployments are supported across 14+ regions globally.

Leena AI minimizes hallucinations through multi-layer guardrails: a fine-tuned model layer (WorkLM™), AI Colleague configuration layer, AOP execution layer, and system prompt layer. Tools are deterministic - each one knows exactly what system it’s hitting, what fields it can change, and how to validate responses - so there are no hallucinated API calls. Primary and evaluator LLMs, structured knowledge steps, and full audit trails reinforce accuracy.

The Context Graph is a memory structure that captures decision traces from every interaction an AI Colleague has with humans, systems, vendors, and other agents. It records exceptions, precedents, and reasoning, allowing AI Colleagues to make faster, smarter decisions over time on top of the instructions provided in the AOP.

Every AI Colleague is assigned a Human Manager who resolves exceptions and edge cases. AOPs explicitly define when to pull humans in - based on risk thresholds, exception patterns, or missing data - and when to proceed autonomously. AI Colleagues escalate with full context (what’s been done, what’s blocked, recommended options) so humans make quick decisions while the AI continues.

Leena AI provides end-to-end trace logs for every prompt, tool call, document, decision, and fallback, plus dashboards for Knowledge Health, Process & SLA Analytics, Cost & Performance Telemetry, and Helpdesk Insights. Teams can drill into any execution, monitor token usage and latency by step, track automation rates, and capture user feedback for continuous improvement.

Yes, AI Colleagues are always-on persistent workers. They can be triggered by schedules (e.g., daily reconciliations), system events (e.g., new employee added in HRMS), API calls, MCP, or human prompts. Each AI Colleague maintains its own Workbench of upcoming tasks and supports stateful execution with callbacks - pausing at approval steps and resuming exactly where they left off with full context intact.