Rebook and message during disruptions (IROPS)
The delay/cancellation scramble.
When weather or delays cascade, thousands of passengers need rebooking and clear communication at once, and call centers buckle. An agent re-accommodates passengers in real time — finding options, rebooking within policy, and pushing proactive notifications — so disruptions are handled in minutes across the whole affected list, not one hold call at a time.
Action triggered via incoming email
Flagged variance · escalated to Maria
Captured details from vendor@acme.com
Extracted 12 line items
Validated with vendor and submitted
It starts with an agent that does the work
Every operation LunoOS runs is performed by an agent, an AI worker that owns a task end to end, not a chatbot that answers questions.
Owns an operation end to end
Decides, acts across your systems, and completes the work. A result, not a suggestion.
A coworker, not a copilot
It doesn't help a person do the task. It does the task.
Knows when to ask
Handles what it can on its own, and escalates what genuinely needs a human, with full context.
Defined for your work
You set how each agent behaves, what it can access, and what it's allowed to do.
Reasoning and rules
Uses judgment where it helps, and deterministic logic where predictability isn't optional.
Works where work happens
Across voice, email, and chat, and inside the systems your team already runs.
It connects to the systems you already run
We meet your operations where they are, no rip-and-replace.
Your existing stack
Connects to legacy systems, ERP, CRM, HRIS, document stores, and internal APIs.
No parallel system
Agents work inside the tools your team already uses, not alongside them.
Acts, not just reads
Integration means agents take action in your systems, not only pull data from them.
It learns how your business actually runs
Every operation an agent performs feeds a living context layer, your workflows, your exceptions, the logic behind your decisions.
The work is the data
Every operation performed becomes structured context the whole system can use.
Your operational reality
Captures the workflows, exceptions, and edge cases that aren't written down anywhere.
One source of truth
Context accumulates in one place, so every agent reasons from the same understanding.
Receive invoice
Invoice INV-78421 received
Validate & OCR
Extracted invoice details
Operation completed
Confirmation email sent to vendor
One agent runs the others
Complex work isn't one task, it's many, in sequence. A lead agent breaks an operation into steps, hands each to the right specialized agent, and coordinates them to the finish.
Owns the operation end to end
Decides, acts, and completes. Not a suggestion, a result.
A team of specialists
A lead agent delegates to specialized agents and coordinates them to completion.
Escalates when it should
Knows the line where a human is needed, and hands off with full context.
Operation lead agent
Reconcile supplier invoice #4821 and update three downstream systems
Plan
Validate invoice & PO match
Check payment terms & exceptions
Update ERP
Notify supplier
Delegating to specialists...
Data validation agent
Validating invoice, PO, and vendor date
72% complete
Payments agent
Checking payment terms and exception rules
58% complete
ERP update agent
Updating ERP and recording transaction
63% complete
Aggregating results
Finalizing update and notifications
Every action evaluated, audited, accountable
Autonomy without accountability is a liability. LunoOS holds every agent to a standard you define and can see.
A standard you define
Set what "good" looks like, precisely, and hold every agent to it.
Tested before it ships
Agents are tested against real scenarios and edge cases before they touch production.
Audited in production
Every action is sampled and audited, so issues are caught without reviewing everything by hand.
Humans stay in control
Your team oversees, steps in, and adjusts through interfaces built for how they work.
Recommended action
Approved invoice
$18,725.40 USD
How we put an operation to work
You don't buy software and figure it out. Our team deploys the operation with you, from scoping to live, and stays on to scale it.
You choose how
We build the operation end to end, or your team leads with our forward-deployed engineers on call.
A path to production
A consistent sequence: discovery, design, build, test, go-live, with sign-off at each stage.
We stay after go-live
A post-deployment care period with our engineers on call; then the same team scales the next operation and the next market.
Netsuite
Oracle CloudAgent activated
Procurement Agent
Live and running
Every operation makes the system smarter
This is what a platform gives you that a tool never could. Each operation deployed feeds context and governance back into LunoOS, so the next one starts smarter, and every new market inherits everything already learned.
Each deployment teaches the system
Every operation performed sharpens context and tightens governance.
New work starts ahead
The next operation, team, or market begins with everything already learned.
Cheaper as it grows
More operations, more context, so each new one costs less to stand up than the last.
operation completed
24,842
Cost per operation
$0.18
Built for the enterprise
No training on private data
Encrypted end to end. Never used to train models, never shared.
Compliance at the core
Every agent action stays within your policies, governed, logged, and auditable end to end.
Always on
Automatic failover keeps agents running. Critical work doesn't stop.