Coordinate AI, workflows and software delivery across your business.
OCNORA connects 1,000+ cataloged app and cloud-service providers, runs AI agents inside budgets and human approvals, audits every run, and deploys on our cloud, yours, or inside your own product.
From request to result, step by step.
Six prepared workflows replayed with simulated data. Pick one, watch it build and run, and click a step to see what it received and produced.
“I need to automate my inbox. Whenever an email is received with the subject line 'Support', create a support ticket, determine the priority and send the customer an acknowledgement.”
Each step shows what came in, what OCNORA did and what came out. Click a step for the full input, output and mapping.
Start from the job, not the tool.
Six kinds of work teams bring to OCNORA. Each one links to a solution that shows it end to end.
AI workflows
An agent that answers, looks things up and drafts the action, with a person approving anything irreversible.
Customer support →Application integration
The mailbox, the CRM and chat connected: every inbound message classified, enriched and routed to an owner.
Sales & CRM →Engineering tasks
Health checks, alert enrichment and joiner-mover-leaver runbooks, with retries and an error workflow when a step fails.
IT operations →Data movement
Product events transformed and forwarded to each tenant’s own systems, under per-tenant limits.
Embedded automation →Business operations
Claims, renewals and documents read into structured fields, checked by a person and recorded step by step.
Insurance →Software delivery
A bug report or feature request scoped into a task, worked in its own Git worktree on your runner, checked, and reviewed by a person. We use it to ship OCNORA.
Software delivery →
Connect, define, review, execute, inspect.
The same five steps for every workflow, whether it routes a lead, runs an agent or opens a pull request.
- STEP 1
Connect
Add a connection to the apps, data stores and models the work touches. A service with no typed node is reached through the HTTP node.
Integrations → - STEP 2
Define
Describe the workflow in plain English or draw it on the canvas, then go deeper with expressions or a Python step.
Build → - STEP 3
Review
Workflow Health validates, pre-flights and dry-runs the graph before it runs. Risky steps get a human approval.
Govern → - STEP 4
Execute
The run executes inside the budgets, retries, timeouts and approvals you set, on our cloud or yours.
Run → - STEP 5
Inspect
Every step’s input, output and decision is recorded, with an audit log on every run and mutation.
Security →
Draw the workflow, then watch it run.
Triggers, AI steps, approvals and actions sit on one canvas, and each node shows whether it has run, is running or is waiting on a person.
- Branch on what AI decides. A classifier's label routes the run like any other value.
- Approvals as a step. A risky branch waits for a person before it carries on.
See where a run is, and what each step produced.
A paused run says what it is waiting for. Each step shows done, waiting or queued, with its output and the audit record beside it.
Run and inspect →A code defect becomes a draft pull request, not a ticket.
When Workflow Health finds a fault Auto Fix cannot answer, the system health workflow plans the fix, makes it on a branch, runs the repository's own checks and opens a draft pull request.
- Nothing merges on its own. The pull request is a draft; a reviewer decides.
- Unsafe fixes go to a person. A plan that is not safe now is filed as an issue with the options.
Search 1,000+ cataloged providers.
7,621 typed operations across CRMs, chat, email, warehouses, AI vendors and the AWS, Azure and Google Cloud service catalogs. A service with no typed node is reached through the HTTP node, using the credential you already hold.
Our cloud, your cloud, or inside your product. The same controls in each.
Budgets on AI spend, human approval on risky steps, role-based access and an audit record of every run are part of the engine, wherever it runs.
Self-hosted
Docker Compose or Kubernetes with Helm, under an offline signed licence that never phones home. Your VPC, your KMS, your data.
Deployment options →Embedded
The builder inside your own product: token handoff with JIT SSO, per-tenant plugins and budgets, white-label, 21 UI languages.
Embedded automation →How to build, govern and run automations.
- PlatformWhat 1,075 integrations actually counts: providers, operations and connections
- AgentsHow to decide which support actions an AI agent may take alone
- BuildHow a bug report becomes a reviewed change on your own runner
Start from a workflow that already runs.
- Sales inbox: qualify and routePoll the sales mailbox, classify each email as lead / existing customer / vendor, create Iris records for new leads and forward the rest to the right team.
- AI support agent with order lookupA webhook hands a customer message to a tool-using agent that can look up the order over HTTP, then the answer is emailed back.
- First notice of loss: extract, validate, triageA claim notification arrives by webhook; AI extracts the loss details, the payload is validated, an adjuster triages it and the claim is opened in Iris.
Book a technical demo. Bring the work, not a slide deck.
Bring one workflow you want to automate, the systems it touches, who has to approve what, and where it has to run: our cloud, yours, or inside your product. We build it with you on the canvas and Workflow Health checks it before it runs.