Delivered is not operational
Many AI automations work in the builder’s hands and break later in the client’s world. The missing piece is usually not the tool. It is the operating packet around the tool.
The six hidden handoff gaps
No owner
Nobody knows who checks failures after launch.
No last-known-good state
There is no reference point for what worked before the break.
No failure path
Errors kill trust instead of routing to retry, fallback, or escalation.
No monitoring rule
The client notices breakage before the operator does.
No acceptance criteria
“It works” was never turned into a measurable gate.
No runbook
The first three failure modes live only in the builder’s head.
Why AI automations amplify handoff pain
AI workflows carry softer failure modes than normal scripts: partial hallucination, silent context loss, brittle tool calls, and model-dependent output. That means the handoff needs more structure, not less.
The minimum handoff packet
- Owner and escalation path.
- Run-state and last-known-good output.
- Known failure modes and first response.
- Acceptance checks before “done.”
- Evidence log: screenshots, tests, source links, or delivery IDs.
Want this mapped against your actual workflow?
RemoteJungle turns these leaks into an operating map: source of truth, active run-state, worker lanes, QA gates, and the next revenue sprint.
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