AI Colleagues that don't wait to be asked.

Workbench is the live execution layer behind every AI Colleague. Work starts from a schedule, a system event, or another agent — not from a chat prompt.

What it is

Most AI agents wait for a prompt. Ours don’t.

Workbench is where every AI Colleague's work lives and runs. Schedules, system events, and other agents drop tasks onto a live queue. Colleagues pick them up, run them through the right AOP, and execute against your stack — pausing for approvals when needed, resuming when the human responds.

It's the difference between an AI that answers and an AI that gets work done without someone asking.

How it works

Three ways work starts.

Schedules

Set a time. The Colleague runs without anyone remembering to kick it off. Time zone aware, with end dates and occurrence counts.

System triggers

An event happens in Workday, ServiceNow, SAP, or any connected system. The Colleague reacts in real time.

Stateful runs

Pauses for approvals. Survives retries, callbacks, and overnight waits. Picks up exactly where it left off — minutes, hours, or days later.

Why it matters

Work doesn’t stop because someone’s in a meeting.

• 24/7 Always running
• 100% Consistent
• Zero Forgotten follow-ups

What's different

Workflow tools schedule a sequence. Workbench runs an agent.

Triggers, not prompts

Workbench subscribes to events in your enterprise apps and to scheduled jobs from day one. A new hire in Workday, a ticket in ServiceNow, a vendor record in SAP — any of these can start a run.

State that holds

Survives pauses, retries, callbacks, and approvals. A workflow that waits 72 hours for a manager's approval doesn't lose context when it resumes.

Live in minutes

Setup is in plain English. Pick the Colleague, the AOP, and the trigger. No cron syntax, no code, no engineering ticket.

Breakdown

Inside the Agentic AI architecture

TouchpointsOrchestratorAI ColleaguesStudiosPermissions & Access ControlsIntegrationsObservability & GovernanceTrust & Security

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

Frequently asked questions

What is Leena AI Workbench?

The execution layer of the Leena AI platform — the live queue and engine that runs every AI Colleague. Work lands on the queue from schedules, system triggers, or other agents, then executes against your stack.

How is Workbench different from Zapier or n8n?

Zapier and n8n fire a sequence and finish. Workbench runs full AI Colleagues that hold context across multi-system processes — pausing for approvals, retrying on failure, and resuming where they left off, even days later.

Can Workbench handle multi-day workflows?

Yes. Onboarding, payroll close, vendor onboarding, audits, and investigations all run as multi-day flows. The Colleague pauses for approvals and resumes with full context — no restart, no lost state.

What happens when a Colleague needs a human?

It escalates with full context: what's been done, what's blocked, and what the human needs to decide. The human responds, the Colleague continues. No re-briefing, no lost work.

How long does setup take?

Minutes. Pick the Colleague, the AOP, and the trigger — all in plain English. No cron expressions, no scripting, no engineering involvement.

Is scheduling time-zone aware?

Yes. Configure time zones, end dates, occurrence counts, and exception windows. The same workflow can run on local time across global offices.

What kinds of processes run on Workbench?

Onboarding and offboarding, payroll close, access provisioning, vendor onboarding, invoice follow-ups, audits, ticket resolution — anything long-running, multi-system, or rules-driven.

How does Workbench handle failures?

Built-in retries, exponential backoff, and dead-letter handling. Failures route to a human with the full execution trace. Nothing fails silently.

Can other agents trigger a Workbench run?

Yes. Workbench accepts triggers over MCP and A2A, so agents inside your stack — or third-party agents — can hand work to Leena AI Colleagues and receive results back.

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