Corezoid Process Engine

Open the canvas, drop your first trigger, and watch work start moving on its own. Start with a real task—say, routing a new customer request. Add an event source (form submission, API call, or message from your CRM), then connect steps: validate data, enrich from an external API, branch by priority, and assign to the right queue. Map fields visually, set timeouts and retries, and attach notifications for stalled items. Hit run to simulate traffic, inspect each node’s inputs and outputs, and tweak conditions until the path is clean. When you’re ready, publish to the managed cloud and invite teammates to try it with their data.

For developers, turning services into composable flows is straightforward. Use webhooks to capture events, call third‑party APIs with secure credentials, and reuse shared components across projects. Add custom code blocks for edge cases, or wrap existing microservices as actions. Version every change, promote from draft to production with approvals, and roll back instantly if needed. While testing, trace a task’s journey step by step, view payloads, headers, and timing, and set alerts for errors or slow nodes. Build health checks and circuit breakers into the flow, so spikes or flaky endpoints don’t take the system down.

Teams operate safely with granular permissions. Assign roles for builders, reviewers, operators, and viewers. Lock sensitive connectors to specific groups, require peer review before publishing, and keep an audit trail of edits and deployments. Spin up a prototype space to explore a new onboarding or billing idea without touching live traffic, then migrate the approved design to production with the same configuration. Comment on nodes, tag owners, and create runbooks so on‑call staff know exactly how to recover when something breaks.

Once live, turn data into action. Build dashboards that track throughput, success rates, wait times, and SLA breaches by process, team, or customer segment. Pin key metrics, add filters, and schedule snapshots for weekly reviews. Drill into outliers to see which branch or connector is causing delays. Set threshold‑based alerts to Slack or email when queues grow or error rates climb. Use A/B versions of a step to compare results, retire underperforming paths, and ship improvements without downtime. Common patterns include lead scoring and handoff to sales, KYC/AML checks with manual review, payment reconciliation with exception handling, field service dispatch based on skills and location, content approvals across departments, and incident triage with automated escalation.