Workflows that
don't fall over.
Durable, observable, code-first automation. Long-running pipelines that survive restarts, retry intelligently, and tell you exactly what happened - across every system you depend on.
Beyond drag-and-drop.
Workflow tools are easy to start with and brutal to scale. We build the durable, observable layer that takes over when the dashboard isn't enough.
Durable orchestration
Long-running workflows that survive crashes, restarts, and outages - written in code, replayed deterministically when things go wrong.
- Temporal / Inngest
- Crash-safe state
- Versioned workflows
Event-driven pipelines
Webhooks, queues, and CDC events as first-class triggers - fan-out, fan-in, dedupe, and retry with proper backpressure.
- Kafka / SQS / Pub/Sub
- Idempotent handlers
- DLQs + replay
Conditional branching
Real branching, parallel fan-out, joins, and dynamic step generation - not the if/else cliffs you get from drag-and-drop tools.
- Parallel + sequential
- Dynamic spawn
- Saga compensation
System integration
Connect ERPs, CRMs, payment processors, and internal services with typed clients, OAuth, and proper rate-limit handling.
- REST + GraphQL + gRPC
- OAuth flows
- Rate-limit aware
Schedules & timers
Cron, interval, business-calendar, and timezone-aware schedules. Time-based steps that wait days or weeks without burning resources.
- Business calendars
- Sleep up to months
- Timezone-safe
Observability
Per-run timelines, step-level metrics, and full payload history - debug a stuck workflow the same way you'd debug a stack trace.
- Run timelines
- Step inspector
- Replay & resume
Workflows we've built.
Order-to-fulfillment pipeline
Order placed → fraud check → inventory hold → carrier dispatch → notifications. 14 steps, 7 systems, fully recoverable.
Customer onboarding
Signup triggers a 5-day sequence of provisioning, welcome emails, sample data seeding, and CSM assignment with conditional branches.
Invoice & finance ops
Daily AR sweeps, dunning sequences, GL reconciliation, and Slack alerts on anomalies - replacing a finance analyst's manual spreadsheet rituals.
AI document pipelines
Inbox or upload triggers OCR → extraction → validation → human review → ERP write-back. Audit trail with source citations on every record.
Reliable automation isn't a wizard. It's discipline.
Idempotent by default
Every step assumes it might run twice. We design for at-least-once delivery and let dedupe keys do the rest - no duplicated charges, no double emails.
Retries with intent
Exponential backoff with jitter, distinct policies for 4xx vs 5xx, dead-letter queues for the unfixable. A bad downstream shouldn't kill a 6-hour workflow.
Failure is a UX
Compensating actions, partial-success reporting, and human-in-the-loop fallbacks. When automation can't finish, the handoff is graceful - not a 500.
Code, not no-code
We use Zapier and Make where they fit, but production-critical workflows belong in versioned, tested, code-reviewed pipelines. Not in a dashboard one tab away from disaster.
From flowchart to durable code.
Map the steps
Whiteboard the existing process, the failure modes, and the systems involved. We find the duplicate work and the silent failures first.
Pick the runtime
Temporal for stateful long-running. Inngest for event-driven SaaS. n8n for low-code edges. We don't fanboy a tool - we fit it.
Build & instrument
Code-first workflows with tests, replay-safe steps, and per-step metrics. Shipped behind feature flags with shadow runs.
Operate & evolve
Runbooks, alerting, and a roadmap for the next 90 days. We hand off something your team can own - not another black box.
Engines, queues, and connectors.
What process is your team running by hand?
Tell us the most painful manual workflow you have. We'll come back with a written design, a runtime recommendation, and a three-week pilot.