From manual to autonomous in four simple steps

No coding. No consultants. Just describe what you need and let Autonomix AI handle the rest.

  1. Describe your process in plain English

    Simply tell Autonomix AI what you want to automate. Use natural language—no technical jargon required. Our AI understands context, intent, and business logic.

    • Speak naturally, as if explaining to a colleague
    • Include conditions, exceptions, and edge cases
    • AI asks clarifying questions if needed

    // Example input:

    "When a new lead fills out our contact form, check if they're from a target account in our CRM. If yes, notify the assigned sales rep on Slack and create a high-priority task. If no, send them to the marketing automation sequence and log the lead for nurturing."

  2. Detected integrations:

    Salesforce CRM

    Read account data, create tasks

    Slack

    Send direct messages

    HubSpot Marketing

    Add contacts to sequences

    AI maps tools and data sources

    Autonomix AI automatically identifies which tools, APIs, and data sources are needed. It understands your existing tech stack and figures out how to connect everything seamlessly.

    • Auto-detects required integrations
    • Maps data fields and API endpoints
    • Suggests optimal workflow paths

  3. Workflows run autonomously

    Once approved, your workflow goes live instantly. Autonomix AI handles execution, manages state, retries on failures, and adapts to changes automatically.

    • Runs 24/7 without human intervention
    • Handles errors and edge cases gracefully
    • Scales automatically with demand
    Workflow activeRUNNING
    Recent activity:
    Lead checked in CRM
    Slack notification sent
    High-priority task created
    127
    leads processed today
  4. 98.5%
    Success rate
    2.3s
    Avg. runtime
    1.2k
    This week
    Performance trend

    Monitor and refine instantly

    Real-time dashboards show exactly how your workflows are performing. Spot bottlenecks, optimize paths, and make changes with a single click—no re-coding required.

    • Live metrics and success rates
    • Instant alerts for failures or anomalies
    • One-click adjustments and rollbacks

Real-world example

Customer support escalation workflow

The business need:

"We need urgent support tickets to reach the right engineer within 5 minutes, but our current process involves manual Slack messages and often misses the SLA."

Natural language input:

"When a Zendesk ticket is tagged 'urgent', look up the on-call engineer from PagerDuty, send them a Slack DM with ticket details, create a Jira issue linked to the ticket, and auto-reply to the customer confirming we're on it. If no response in 5 minutes, escalate to the team lead."

What happens:

1
Workflow created in 30 seconds

AI mapped Zendesk, PagerDuty, Slack, and Jira integrations

2
Deployed instantly

No code written, no DevOps required

Result: 100% SLA compliance

Every urgent ticket reaches an engineer in under 2 minutes

Ready to automate your workflows?

See how easy it is to go from manual to autonomous