What AI Can and Cannot Do in an Async Handoff

AI can do the mechanical parts of an async handoff well: pull open items from your tools, draft a summary for the person to edit, and answer routine questions from what people already wrote. It cannot know what someone intended, why they made a call, or what worried them, unless they wrote it down. A good setup lets AI draft and answer, and keeps a person as the author.

That split matters because the most valuable part of a handoff is the part that is hardest to see in the tools. The ticket shows a change. The handoff should say why, what is risky, and what the next person should do first.

Where AI helps

Drafting the routine part. A tool can list the tickets that moved, the pull requests waiting for review, and the deploys that went out. That saves the outgoing person a few minutes, and the handoff gets written more often on busy days.

Reminding people what is missing. A draft that has "changed" filled in and "decided" empty prompts the author to fill in the gap.

Answering routine questions. When the next shift asks "is PR 482 ready to merge?", an AI tool can answer from the handoff and the pull request, with links, instead of the asker waiting a day for a reply.

Finding things across tools. The answer to "where is the runbook for this?" usually exists. AI search can find it faster than scrolling.

Where AI gets handoffs wrong

Summaries of activity look like handoffs and are not. A list of what changed today says nothing about what was decided, what was ruled out, or what to do next. A team that replaces written handoffs with AI summaries loses exactly the context handoffs exist to carry.

Guessing at intent. If the tool infers that "the engineer probably meant to merge this," and is wrong, the next shift acts on a guess. A tool should only say what someone wrote or did, and say clearly when it does not know; see why an AI that says "I do not know" is safer.

Crediting the wrong person. AI tools that summarize a thread can attribute a decision to whoever spoke last, not whoever decided. In a handoff, that sends the next shift to the wrong person for a follow-up.

Acting instead of handing off. An agent that "just fixes" an open item overnight, without anyone approving it, turns a handoff into an unreviewed change. Keep a person in the loop for anything that changes production.

A simple rule for AI in handoffs

Let AI draft, find and answer. Let people decide and write the parts that need judgment: what was decided, why, what is risky, and what comes next. If an AI tool answers questions while the author is offline, it should answer only from what that person wrote, show the source, and say so when the answer is not there.

Using AI with the four-field handoff

The four fields of a good handoff are what changed, what is blocked, what was decided, and what the next person should do first. AI can draft the first and help with the second. The third and fourth need the person. The full format is in the guide to async handoffs across time zones, and a copy-and-paste version is in the engineering handoff template.

For the wider question of which tasks to give AI and which to keep with people, see what AI agents cannot do. For handoffs before leave, see the guide to covering for a teammate on leave.

Where StandIn fits

StandIn drafts your brief from the work that already happened in your tools, and you fix what is off and add the one thing only you know. When you are off, it answers your teammates' questions from that brief and your work, in your words, with a source under every answer. When the answer is not there, it never guesses. See how StandIn works.