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Quick Start

Use this path to launch your first production-ready workflow.

Prerequisites

  • Mimic workspace with admin access
  • At least one agent provisioned (rpa or openclaw)
  • Test credentials for the target portal
  • A sample CSV for batch validation

Step 1: Create your workspace baseline

  • Invite operators and reviewers.
  • Set plan and billing in /app/settings/billing.
  • Confirm one organization admin can access /app/admin.

Step 2: Provision an agent

  • Open /app/agents/new.
  • Choose mode:
    • rpa: deterministic browser automation from recorded steps.
    • openclaw: conversational execution with tool calls.
  • Wait until agent status is healthy before running tests.

Step 3: Record and generate workflow steps

  • Upload a task recording in Studio.
  • Verify generated steps and variables.
  • Replace hard-coded credentials with secure variables.

Step 4: Run a single test job

  • Launch a test from Studio or POST /api/jobs/launch.
  • Confirm terminal status in Jobs.
  • Inspect logs and screenshots for step-level quality.

Step 5: Move to batch mode

  • Prepare a CSV with one row per case.
  • Map CSV columns to workflow variables.
  • Run a small canary batch (5 to 20 rows) before full volume.

Step 6: Monitor operations and ROI

  • Track completion rate, flagged volume, and error taxonomy.
  • Use org dashboards (/app/org-dashboard/{orgKey}) to review latest batch funnel metrics, top blockers, and fix priorities.
  • Use queue analytics (/app/org-dashboard/{orgKey}/analytics) to validate issue concentration by type, doctor, and office.
  • Review pilot dashboards for readiness and ROI trends.
  • Export pilot evidence when required by partner review cycles.

Step 7: Operate the agent fleet

  • Use /app/agents for day-to-day controls.
  • Start or stop agents directly from the table when handling workload spikes.
  • Rename agents in place to keep ownership and purpose clear for operators.