Built for ops teams

Our approach

We don’t ship “random automations.” We design systems that survive real operations: messy inputs, edge cases, and human handoffs.

• Data model first: define a source of truth and normalize inputs.
• Reliability by default: retries, idempotency where needed, and validation.
• Ops visibility: logs, alerts, and dashboards for critical flows.
• Documentation: diagrams, ownership, and rollback guidance.