The short version
- Four categories of AI tool are sold to distributed teams: meeting summaries, search over documents, writing assistance, and question answering over company knowledge.
- Three of them produce material. Only the fourth is supposed to answer a question you would otherwise ask a colleague, and that is where the trust question lives.
- Most rollouts stall for the same reason: the output is plausible and nobody can tell which parts are grounded.
- The test for any of these is what the tool does when it does not know. A tool that always produces something cannot be used for anything consequential.
Distributed teams are the natural market for AI tooling, because they have the most coordination overhead and the least shared context. The category is crowded and the marketing is largely interchangeable, so it is worth sorting by what each thing actually does.
The four categories
| Category | Does | Helps with |
|---|---|---|
| Meeting summaries | Transcribes and condenses a call | People who missed a meeting because of the hour |
| Search over documents | Finds and summarises what is written down | Companies with a lot of documents and poor organisation |
| Writing assistance | Drafts and rewrites | Teams writing more because they meet less |
| Answering from company knowledge | Responds to a question you would have asked a colleague | Waiting on people who are offline |
The first three produce material for a human to read and judge. The fourth stands in for a person, and it is the only one where a wrong answer travels onward as if it were true.
What a summary gives you and what it does not
Meeting summaries are the most adopted category and the most misunderstood. They record what was said. They do not record what was decided, and the gap between those two is where distributed teams get hurt.
A fifty minute call produces a summary listing eight topics discussed. Reading it later, you cannot tell which of the eight were resolved, who owns the one that was, or whether the thing that sounded like a conclusion was a conclusion. The room knew. The transcript does not.
So a summary is useful as a memory aid for someone who was there, and weak as a source of truth for someone who was not, which is exactly the person a distributed team needs to serve. Pair summaries with a written decision, owned by a person, and the pairing works. See what was said, not what was decided.
Why most rollouts stall
The pattern is consistent. Enthusiastic pilot, good early reactions, then a plateau where a small number of people use it daily and everyone else has drifted away.
The usual cause is not capability. It is that the output cannot be checked cheaply. Someone gets an answer, it sounds right, and to verify it they would have to do the work they were trying to avoid. So they either take it on faith, which is uncomfortable for anything that matters, or they verify, which removes the saving.
The second cause is scope confusion. A tool that answers questions about documents is asked a question about current state, produces a confident answer assembled from a nine month old page, and is wrong in a way nobody detects for a week. After two of those, people stop. See why most AI pilots do not reach production.
The one test to run
Before buying anything in the fourth category, ask it something your company has never written down. Something specific and recent, where you know for certain no record exists.
Then look at what comes back. If it says it does not know, and ideally names who would, you have a tool you can build on. If it assembles a plausible answer from adjacent material, you have a tool that will be believed when it should not be, and the failures will be invisible until one reaches a client.
That property matters more than accuracy rates, because you can work with a tool that answers half the questions and is honest about the other half. You cannot work with one that answers everything and is right most of the time. See when the internal AI tool guesses.
Choosing for a distributed team
Match the tool to the actual waiting. For a week, log what people were waiting on. If they were waiting on documents they could not find, buy search. If they were waiting on a person, search will not help, because what they needed was never written.
The waiting on a person category is what StandIn is built for, and it is deliberately narrow. Each day a person spends about ninety seconds on a brief: what moved, what is open, what is blocked, what is next, mostly drafted from the work that already happened. They confirm it, so the record is theirs. When they are offline, their StandIn answers from that brief, in their words, with a source under every answer. It never guesses, and when the answer is not in the record it says so and names who to ask. It is not trying to know everything about your company. It is trying to answer for one person, from what that person actually wrote. See how it works and what it will not do.
Common Questions
Do we need all four categories?
Most teams of five to fifty need one or two. Buying four produces four logins, four sets of permissions and four places where an answer might be, which is a coordination cost of its own.
What about the assistant built into the tools we already have?
Start there, because the integration and permissions work is already done. Judge it on the same test. Bundled does not mean grounded.
How do we handle the data questions?
Ask three things before a pilot: what is retained, whether it is used for training, and whether it respects your existing permissions. The third is the one that surprises people, because a tool that answers from everything will answer from things some staff should not see.
Is it worth waiting for the tools to improve?
The work that makes any of these useful is the same either way: writing down decisions and current state. Teams that do that now get value from whatever they buy later, and teams that do not will get confident answers built on nothing.
When you're off, your StandIn is on.
It answers your teammates' questions from work you've already done, in your words, with a source under every answer.