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Leena AI
WORKFLOW Studio

1000+ tools in the box.
AI Colleagues out the door,
in minutes - not days.

Workflow Studio is the action layer of every Leena AI Colleague. 1000+ deterministic tools across 200+ pre-integrated enterprise systems, auto-bound to your AOPs.

1000+
PRE-BUILT tools
200+
Enterprise integrations
Auto
Bound by AOP
MCP
As a drop-in TOOL
1000+
PRE-BUILT tools
200+
Enterprise integrations
Auto
Bound by AOP
MCP
As a drop-in TOOL
What it is

Tools are how AI Colleagues
actually do things in your systems.

Read an email. Fetch a leave balance. File a ticket. 1000+ deterministic tools across 200+ pre-integrated enterprise systems - plus defaults for parsing, search, notifications, and approvals.

Microsoft 365

Microsoft 365

25 tools · Connected

Microsoft 365 preview
SAP SuccessFactors

SAP SuccessFactors

18 tools · Connected

ServiceNow

ServiceNow

14 tools · Connected

Workday

Workday

22 tools · Connected

SAP S/4HANA

SAP S/4HANA

12 tools · Connected

Microsoft 365 preview
SAP SuccessFactors preview
ServiceNow preview
Workday preview
SAP S/4HANA preview
How it works

Three things compound
to make this fast.

Knowledge in. Integrations on. Tools bound. The orchestrator does the rest.

Switch on an integration. Get the atomic tools.

Switch on an integration. Get the atomic tools.

Flip SAP SF on and @sap_sf_apply_leave arrives with it. Same for Workday, ServiceNow, Salesforce - 200+ enterprise systems deep.

Write the AOP in plain English.

Write the AOP in plain English.

Describe the workflow. The builder auto-binds the right tool to each step and flags any gaps. No marketplace hunting.

Build the gap in a guided form.

Build the gap in a guided form.

Name. Description. Positive and negative examples. Execution scope. No code. The orchestrator picks it up immediately.

Why it matters

Speed. Determinism. Governance. The three things that decide whether Agentic AI ships.

Most Agentic AI projects stall because every new automation becomes an integration project. We did that work for you, 1,000 times over.

Pre-built. Pre-integrated. Pre-bound.

1000+ tools. 200+ enterprise systems. Auto-bound to your AOP. A quarter of work, done before you start.

AOPs are the rails. Tools are the trains.

The LLM orchestrates fixed blocks - it doesn't invent them. No hallucinated API calls. Same result, every run.

Built in, not bolted on.

RBAC at every layer. High-risk actions behind approvals. Every call logged and reversible.

How it's different

Most platforms hand you a skill builder
and wish you luck.

You (or a services team) still wire every integration, every call, every test case.
Workflow Studio is the opposite shape.

The usual approach

Other Agentic Platforms

The Leena AI approach

Workflow Studio

Empty tool builder. You build every action from zero.

1000+ deterministic tools come built inside the connectors.

Services team wires every integration, every API, every test.

200+ enterprise systems pre-integrated. Connect and go.

You map tools to process steps manually.

The AOP builder selects them for you. Auto-bound.

Custom tools require engineers, sprints, and tickets.

Process owner fills gaps through a no-code interface.

Agentic AI as a 14-month roadmap.

AI Colleagues shipping this quarter. In 45 days.

The usual approach

Other Agentic Platforms

Empty tool builder. You build every action from zero.

Services team wires every integration, every API, every test.

You map tools to process steps manually.

Custom tools require engineers, sprints, and tickets.

Agentic AI as a 14-month roadmap.

The Leena AI approach

Workflow Studio

1000+ deterministic tools come built inside the connectors.

200+ enterprise systems pre-integrated. Connect and go.

The AOP builder selects them for you. Auto-bound.

Process owner fills gaps through a no-code interface.

AI Colleagues shipping this quarter. In 45 days.

Breakdown

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 surface
Talks 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-coded
Breaks complex asks into doable subtasks
Hands off cleanly between agents over A2A

AI 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 Graph
Handle 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 months
Business users own and iterate without engineering
1000+ pre-built tools across 200+ enterprise systems

Permissions 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-bound
Safe for multi-team, multi-tenant deployments

Integrations

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 one
Connect in minutes, no custom code
API + 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 read
Guardrails at every layer - enforced before execution
Eval Suite catches regressions. Quality trends up, not sideways

Trust 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 keys
Shared, single-tenant, or private VPC across 14+ regions
SSO, MFA, and RBAC for staff and customer admins

Pick your next stop

Hand-picked next reads — short on filler, long on what matters.

Knowledge Studio

Enterprise AI knowledge layer - cleans, parses, and continuously health-checks every source.

AOP Studio

AOPs are SOPs for AI Colleagues. The playbook they execute on - written in plain english.

AI Colleagues Platform

Describe the work. Wire the tools. Plug in your stack. Go from kickoff to live in days, not quarters.

Agentic AI Architecture

The platform Fortune 500s use to build, govern, and run enterprise AI Colleagues.

Leena AI Documentation

Your reference for configuring, deploying, and managing AI Colleagues at scale.

45-Day Go-Live

Pre-built. Pre-integrated. Pre-trained. Enterprise- wide AI Colleagues live in days, not months.

Frequently asked questions

What is Leena AI Workflow Studio?

Workflow Studio is the tools layer of the Leena AI Agentic architecture — the registry where AI Colleague capabilities live and get built. It ships with 1000+ pre-built tools across 200+ enterprise systems including Workday, SAP, ServiceNow, Salesforce, Oracle, UKG, Coupa, BambooHR, Gmail, Outlook, and Slack. Atomic tools like @workday_apply_leave or @snow_raise_ticket come pre-built with each integration.

How does Workflow Studio work end to end?

Three steps. First, switch on an integration and the atomic tools come with it — connectors are not empty pipes. Second, write the Agent Operating Protocol (AOP) in plain English; the builder auto-binds the right tool to each step and flags any gaps. Third, fill any gaps in a guided no-code form with name, description, examples, and execution scope. The orchestrator picks it up immediately.

What are atomic tools?

Atomic tools are typed, validated actions with defined inputs and outputs — for example @workday_time_off_balance, @workday_apply_leave, @snow_raise_ticket, @gmail_draft_reply. They are the building blocks an AI Colleague uses to act in your systems. Connect an integration and the atomic tools come with it pre-built.

What is an Agent Operating Protocol (AOP)?

An Agent Operating Protocol (AOP) is the workflow that defines how an AI Colleague handles a request. AOPs are written in plain English. The builder auto-binds the right tool from the registry to each step. The LLM orchestrates these fixed blocks at runtime — it does not invent tools — which makes execution deterministic and auditable.

Why does deterministic execution matter for production AI agents?

LLM-improvised agents invent workflows on the fly — different every run, which breaks SLAs and audit. Workflow Studio defines the rails through AOPs. Tools are typed, validated, and bound at design time. The LLM orchestrates fixed blocks rather than generating API calls, eliminating hallucinated calls and producing repeatable, auditable outcomes.

How is governance handled in Workflow Studio?

Governance is built in, not bolted on. RBAC operates at the tool, AOP, and AI Colleague level. Execution scope controls determine who can call what. High-risk actions sit behind approvals. Every call is logged, versioned, and reversible — so security and IT teams keep visibility without slowing deployment.

Do business users need to write code to build tools?

No. When the AOP builder flags a gap, owners fill it in a guided form — name, description, positive and negative examples, and execution scope. No code. The orchestrator picks up the new tool immediately. Engineering configures integrations once; the business owns the lifecycle from there.

Ready to accelerate your Agentic AI journey?

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