Service · After the happy path

When the happy path breaks.

Every automation breaks eventually. We build the layer that handles what happens next: who is alerted, what the fallback is, what data is preserved, what the operator sees.

Start with the Audit → How the Audit works

Most automation work fails not because the happy path was wrong, but because nobody planned for the unhappy path. An API changes. A document arrives malformed. A workflow stalls for 48 hours and no one notices.

The failure modes we plan for

Four ways a workflow breaks.

API changes

A platform updates an endpoint or auth flow. Your automation starts returning 400s at 2am.

Input drift

A form field gets renamed. A CSV column shifts. The workflow's parser breaks silently.

Downstream outage

A target tool has a three-hour incident. Messages queue up, retries spiral.

Human handoff gaps

Someone takes leave. A review queue goes unchecked. Work stalls for days.

What we deliver

Five phases. One runbook.

Failure-mode inventory

For every workflow, we catalogue realistic ways it can fail: external API changes, input format drift, downstream tool outages, upstream data errors, human handoff gaps.

Phase 01 Written inventory
Runbook

A written operator guide covering what triggers each alert, what the first response is, what the fallback flow is, and when to escalate.

Phase 02 Operator doc
Operator surface

A dashboard or notification stream so your team sees what's happening without needing developer access.

Phase 03 Dashboard
Alerting

Structured notifications, email, SMS, Slack, or direct phone, routed to the right human, with severity tiers.

Phase 04 Multi-channel
30-day stabilisation

Post-handover window included. We watch the orchestration run, tune thresholds, and field questions. A monthly Support plan after that is optional.

Phase 05 Included

When this service stands alone

Retrofitting existing automations.

This service is typically part of an Automation Build, priced in. It stands alone when you're retrofitting exception handling onto existing automations that were built without it, a common situation for practices who inherited someone else's Zapier or Make stack, or whose previous implementer didn't consider failure modes.

Pricing