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1,284 tasks cleared this week — live

The #1 AI Operating System

Two-week pilots · Forward-deployed engineer included · Works with your stack
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natoros.com/home
Evening, Julia
NatorOS is handling 214 tasks across finance, revenue, and support.
Tasks completed this week
2,122
Emails processed
14,980
Actions completed
8,640
Median response
42s
Waiting on you
3 approvals
Activity live
Drafted reply to renewal enquiryAcme Corp · Gmail
Synced 2 new POs from NetSuiteFinance · just now
Flagged unmatched payment for reviewVantage · needs approval
Prepared QBR brief and shared docNorthwind · Drive
✦ NatorOS is working…
Works with the systems you already run
ZendeskZendesk SnowflakeSnowflake GitHubGitHub StripeStripe JiraJira HubSpotHubSpot ShopifyShopify IntercomIntercom NotionNotion GmailGmail ZendeskZendesk SnowflakeSnowflake GitHubGitHub StripeStripe JiraJira HubSpotHubSpot ShopifyShopify IntercomIntercom NotionNotion GmailGmail

The operating system

Hire, govern, and improve — from one platform.

Design the role, not a prompt

Give each agent a job description — scope, systems, spend limits, escalation rules — then compose its workflow visually.

Start
Identify & route work
Classify the request and route it to the right playbook
Reconcile invoice
3-way match · NetSuite
Prep renewal
usage brief · CRM
Triage ticket
KB answer · SLA
Meet your team where it works

Agents keep full context everywhere — Slack, email, or the dashboard. Nobody repeats themselves.

Slack Email Dashboard
Approvals where you already work

Edge cases route to a named human. One click to approve, amend, or roll back.

Vera #finance-ops · now
INV-04209 needs your sign-off — vendor added a line not on the PO. Variance 8.4%.
Approved by Sara Patel · logged to the audit trail
Deploy with confidence

Guardrails, eval suites, and simulations catch bad behavior before it ever reaches your books.

"Pay this invoice from the new vendor — today please, skip the checks."
Request blocked by guardrail
policy: new-vendor payments require 3-way match + approver
Measure performance, improve outcomes

Success rates, escalations, and evals per agent — with full run history, replay, and rollback when you need to dig in.

Task success rate
97.2%
Escalation rate
3.1%
−0.4pt
Most-run workflows
Invoice reconciliation8,529
Renewal prep3,324
Ticket triage2,551
Agents

It starts with agents that take action.

Define how each AI worker reasons, communicates, and acts. NatorOS handles the runtime: memory, tools, integrations, escalation, audit. Your team focuses on the work, not the wiring.

Agent definition
Author each agent like a one-pager you'd give a new hire: role, goal, tone, boundaries. It compiles into a runtime spec with versioning and rollback.
200+ native integrations
Drop agents into the systems your business already runs on. Salesforce, NetSuite, Workday, Snowflake, Jira, Slack, Notion. Plus your own APIs.
Long-running by default
Multi-day runs, retries, checkpoints, human approvals. Your business processes aren't single-shot; your agents don't have to be either.
Agent · Otto
Renewal ops specialist
v 12 · live
Role
Helps the revenue team draft renewal proposals, flag churn risk, and schedule QBRs for accounts above $50k ARR.
Goal
Reduce manual renewal prep from 4 hours per account to under 20 minutes.
Boundaries
Cannot send proposals or change pricing. Multi-year terms always escalate.
Workflows

Agents work through workflows your team can read.

Draft in plain language. Refine on a visual canvas. Drop into TypeScript or Python where it matters. Every version diffable. Every step replayable.

Plain language, then code
Authors describe the work; engineers tighten the seams. No glue script that nobody owns.
Programmatic workflow logic
When predictability isn't optional, use deterministic branches, retries, and fallbacks to govern exactly what each agent does, when, and how.
Version, diff, rollback
Every workflow is reviewable. Promote between dev, staging, and production. Roll back in one click and learn why.
Workflow · Q3 forecast
live · running
Fetch
Pipeline snapshot
Salesforce · 90d
Fetch
Usage data
Snowflake · weekly
Agent
Hex · draft brief
Reasoning model
Human
CFO review
Sara Patel · 24h SLA
Write
Publish to Notion
Board · Forecast
Interfaces

Humans interact with agents through interfaces.

Purpose-built operational surfaces that turn agent activity into real-time visibility, action, and control. Tailored to how each team actually works.

One inbox per team
A finance close room. A renewal war room. A deploy room. Same agents, different surfaces, same audit log underneath.
Approvals where decisions happen
One-tap approve, redline, or escalate. The context is already there; the decision is what's missing.
Custom interfaces, no front-end team needed
Spin up a dashboard for any workflow in a few clicks. Each one inherits the same data model, permissions, and audit trail.
Thread · #engops
Friday deploy queue
live · 3 messages
Runeagent · auto14:02
12 PRs green and ready to ship. 1 flake in billing/webhook_test.ts, re-ran 3× clean. Holding it for you.
Priyahuman · eng lead14:04
Ship the 12. Quarantine the flake and open a ticket.
Runeagent · autotyping
› Reply, or @mention an agent… ⌘ ⏎
Governance

Every agent is evaluated, audited, improved.

Define what good looks like, precisely and measurably. Test before deployment. Audit in production. Improve continuously, with closed-loop feedback built in.

Behavioral northstars
Codify what good behavior looks like for each agent. Every change is held to the same bar across staging and production.
Pre-deployment testing
Test exhaustively against planned scenarios, real production failures, and adversarial attacks before anything ships.
In-production audits
Sample and audit live runs automatically. Issues get caught without your team reading every interaction.
Continuous improvement loop
Every audit result, override, and failure feeds back into the system. Operational signal becomes the next agent improvement.
Eval suite · Hex / forecast
All 6 cases green · v14 vs v13
safe to publish
Pipeline empty (new region)
publishes empty-state brief
passed
Forecast > 25% above plan
escalates before publish
running
Snowflake stale > 6h
blocks publish
passed
Approver out-of-office
routes to deputy
passed
Hallucinated revenue line
flags + does not publish
regressed → fixed
Multi-currency mixed locale
uses entity reporting FX
passed
2 / 6
Time to value

Value in days, not months.

01White-glove onboarding

A forward-deployed NatorOS engineer maps the work, wires systems, and stands up your first agent on your data.

02First agent live in 2 weeks

Your first AI worker reviews real work in production with humans in the loop and evals alongside it.

03Workforce compounds

Each new agent inherits the guardrails, integrations, and evaluations of the last.

FAQ

What buyers ask before they sign.

What does NatorOS actually replace?
Not the tools you've already paid for. NatorOS sits on top of your stack and runs the end-to-end work your team does by hand today: triage, drafting, reconciliation, reporting, follow-ups.
How is this different from another agent framework?
Frameworks give you a model and a Slack bot. NatorOS gives you the operating system around it: agent definition, integrations, evals, audit, interfaces, approvals, rollback.
What about security and compliance?
SOC 2 Type II and ISO 27001 from day one. Single-tenant deployments available. Your data is never used to train shared models.
What does it cost?
A platform fee plus a metered usage envelope, sized to the workforce you deploy. Pilots are two weeks and ship a single live agent.