Workflow definitions
Each process defined with its trigger, steps, branches and outputs, versioned so a change is reviewable and reversible.
Solution
An orchestration layer that runs your cross system processes with retries, visibility and controls, instead of scripts on a laptop and rules in one person email client.

Overview
Automation accumulates. A script here, a platform rule there, a scheduled job someone set up two roles ago. It works until it does not, and then nobody knows what runs where.
A workflow automation platform makes the processes explicit: defined triggers, versioned definitions, run history, retries and a single place to see what failed.
We build it either on an orchestrator such as n8n, in code, or as a mix, decided per workflow rather than as an article of faith.
Operations teams managing disconnected rules, scripts and scheduled jobs with no shared view of failures.
Make triggers, state transitions and external effects explicit. Choose n8n, application code or both per workflow. A retry is safe only when the receiving action can recognize the original operation.
Modules
Each process defined with its trigger, steps, branches and outputs, versioned so a change is reviewable and reversible.
Record change events, inbound webhooks, schedules, file arrivals and conditions becoming true, each with a guard against re firing.
Typed adapters to the systems in your estate, wrapping authentication, pagination and rate limits so workflows do not each solve them.
Idempotent steps, retry with backoff and jitter, circuit breaking on a failing provider, and a dead letter queue with replay.
Every execution recorded with inputs, outputs, duration and errors, searchable, so a support question has an answer.
Per workflow pause, concurrency limits, rate caps, quiet hours and suppression lists.
Credentials held in a secret store, scoped per connector, with rotation documented.
Workflows exercised against recorded payloads including duplicates, malformed input and provider errors, before they run on live data.
Architecture
A typical implementation flow, with explicit responsibilities at each boundary.
Verify the event, deduplicate delivery and persist its processing state.
Run bounded steps with scoped credentials, backoff and human approval where needed.
Surface failed work, preserve a stable reference and support controlled replay.
Security and controls
Store credentials outside workflow exports. Limit connector permissions and redact execution history. Test duplicate messages, provider outages and revoked access before live execution.
We select the final stack after reviewing your existing systems and operating requirements.
Security and IP practicesFit
FAQ
Per workflow. An orchestrator wins where the flow changes often and uses many vendor connectors. Code wins where the logic is intricate, the volume is high, or the behaviour needs a test suite.
Yes, where they are built in the orchestrator. We hand over the definitions, the credentials and a runbook, and changes are versioned so a mistake is reversible.
Completed steps are idempotent, so a retry resumes safely. If the retry budget is exhausted, the run lands in the dead letter queue with its payload and error for replay.
Triggers are deduplicated on an event identifier and actions carry an idempotency key derived from the record and the step. Both layers are needed.
Yes, per workflow or globally, without a deployment. The run history shows exactly what executed before the pause.
You do. Connectors read from a secret store in accounts you own, with a documented rotation procedure.
Tell us where the current process breaks down. We can map the workflow, examine the integration requirements and define a practical scope for the build.