One prompt in.
A complete plan out.
The Orchestrator turns a single request into a multi-step plan and executes it
across Workday, SAP, ServiceNow, and 200+ other enterprise systems in your stack.
The brain behind every workflow.
From prompt to outcome
in five steps.
Every step is logged. You can trace any decision back to the prompt that triggered it.
Receives
A request comes in over chat, voice, email, Teams, Slack, MCP, A2A, or a schedule.
Reasons
Reads the intent. Pulls the right context, permissions, and prior decisions.
Plans
Builds a fresh execution plan, grounded in your Agent Operating Protocols (AOPs).
Delegates
Hands each sub-task to the right AI Colleague across your apps.
Acts
Calls real systems. Pauses for approvals. Resumes. Logs everything.
Weeks of work, done in
one conversation.
End-to-end execution. Every step logged and auditable.
Minutes, not weeks
"I'm moving to New York, get me set up." HR, IT, and Finance — provisioned, approved, and live in one flow. No follow-ups, no tickets, no "who owns this."
Every step traceable
Same rails, every run. Decisions, tool calls, and approvals are logged in plain language — so RCAs and compliance reviews stop being detective work.
Owned by the business, not engineering
AOPs are written in plain English by the people closest to the process. Process changes go live without an engineering ticket.
Deterministic where it counts.
Reasoning where it helps.
Most agents improvise their way through enterprise workflows — which is fine
for a demo and a problem in production. The Orchestrator does the opposite.
Deterministic by design
AOPs are the rails. The LLM reasons within them. No drift, no hallucinated tool calls, no surprise behavior on the hundredth run.
A fresh plan, every request
Plans are reasoned at runtime, not hard-coded. A new scenario doesn't need new code.
Stateful, end-to-end execution
Pauses for approvals. Resumes with full context — minutes, hours, or days later. The plan doesn't lose its place.
Model-agnostic
WorkLM™, GPT-5.5, Claude Opus 4.8, Gemini 3.5, Llama 4 — pick what fits each task. Swap them out as the frontier moves.
Inside the Agentic AI architecture
Touchpoints
Your people work in Teams, Slack, email, voice, browsers, portals. AI Colleagues show up there. Not somewhere else.
8+ channels. Zero context switching.Same agent, same memory, every surfaceTalks back. Reaches out. Doesn't wait to be asked.Orchestrator
The brain. Reads the request, builds the plan, calls the right AI Colleague, routes between models on the fly. Model-agnostic by design - runs on Claude Opus 4.8, WorkLM™️, GPT 5.5, Llama 4, or Gemini 3.5.
Plans are built, not pre-codedBreaks complex asks into doable subtasksHands off cleanly between agents over A2AAI Colleagues
Level 3 digital workers, each grounded by Agent Operating Protocols (AOPs), equipped with Tools to act in enterprise apps, powered by Context Graph and Memory, and managed via a Workbench.
Always on. 24/7. No human trigger.Gets smarter with every interaction via the Context GraphHandle exceptions like a person would. No "I didn't understand."Studios
Three no-code studios that let business users design, assemble, and ground AI Colleagues in plain English. AOP Studio writes the process. Workflow Studio wires in the tools. Knowledge Studio connects the truth.
Kickoff to live in days, not monthsBusiness users own and iterate without engineering1000+ pre-built tools across 200+ enterprise systemsPermissions and Access Controls
AI Colleagues only see and do what their role allows - across every system you connect. Permissions stay tied to your existing tools.
Inherits from your IdP. No re-mapping.Every action audit-logged and identity-boundSafe for multi-team, multi-tenant deploymentsIntegrations
200+ pre-built enterprise connectors across ServiceNow, Workday, SAP, Oracle, Salesforce, UKG, SharePoint, Snowflake, and more — via APIs, MCP, A2A, and browser/RPA.
200+ live on day oneConnect in minutes, no custom codeAPI + RPA + browser fallback. Nothing's "we can't integrate."Observability and Governance
Responsible AI layer, built into every AI Colleague. See every step, govern every action. Dashboards for execs, ops, and risk.
Full trace: what the agent did, why, what it readGuardrails at every layer - enforced before executionEval Suite catches regressions. Quality trends up, not sidewaysTrust and Security
Agentic AI security built into the architecture, not bolted on. SOC 2, ISO 27001, HIPAA, AES-256-GCM.
AES-256 at rest, TLS 1.2+ in transit, AWS KMS-managed keysShared, single-tenant, or private VPC across 14+ regionsSSO, MFA, and RBAC for staff and customer adminsPick your next stop
Hand-picked next reads — short on filler, long on what matters.
Agentic AI Architecture
The platform Fortune 500s use to build, govern, and run enterprise AI Colleagues.
8 Years of Integrations
One integration layer, 200+ systems of record, battle-tested in 500+ enterprises over 8 years.
Avoid Vendor Lock-In
No OEM money. No vested interest. No vendor lock-in. We connect to all of them.
Leena AI Documentation
Your reference for configuring, deploying, and managing AI Colleagues at scale.
Frequently asked questions
What is an AI Orchestrator?
How is the Leena AI Orchestrator different from a chatbot or copilot?
Which systems does the Orchestrator integrate with?
How are long-running approvals handled?
Is the Orchestrator secure and compliant?
How are workflows defined?
Can the Orchestrator run without a chat prompt?
Which LLMs does the Orchestrator support?
What happens when an LLM hallucinates inside a workflow?
