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AI Assistant

The AI Chat Assistant That Already Knows Your Company’s Work.

The questions that used to become a message to a colleague (what did we agree, where did that get to, who is on it) now answer themselves, in the window you already have open, without interrupting anyone.

The assistant answers from the updates your team shares, the documents you keep, and the tools you have connected. What comes back is as current as this morning, and the assistant can only build an answer out of what the person asking is already allowed to see.

BeSync’d Assistant Secure
What did we promise Halton for the pilot, dates and scope?
Searching work updates
Reading Halton pilot scope note
Checking delivery weekly · wk 31
Three commitments. The pilot runs 4–29 August, it covers the two Ops teams only, and anything added to that needs a written scope change first. Sign-off sits with the account lead.
Answered from
Halton pilot scope note Document · shared with Sales
Delivery weekly, wk 31 Work update · Delivery
Kickoff summary, 28 Jul Work update · Customer Success
Ask anything about your work…
Plain words
Ask the way you would have asked a colleague, and there’s nothing to learn
Already current
The assistant reads your team’s updates, documents, and connected tools, not a wiki somebody maintains
Nobody pinged
The colleague the question would have gone to never finds out it was asked
Your access
An answer can only be built from what the person asking is allowed to see

Most Questions Do Not Need a Person

Most questions need something that was already written down, by somebody who has since moved on to the next thing. The chat assistant answers from that written record.

Ask Instead of Interrupting

A question to the chat assistant costs one person a few seconds. The same question sent to a colleague costs two people their concentration: theirs to answer it, and yours to wait.

It Already Knows This Week

Your BeSync’d chat assistant reads your team’s knowledge base of team updates, documents, and connected sources together, so the answer reflects the latest info, not the last time somebody updated a wiki.

Scoped to Whoever Is Asking

The assistant context is narrowed to the roles and departments that the asker has been given access to read, so the assistant will not provide answers outside that access.

See how permissions are applied
One morning’s questions, answered in an instant

The Answer Arrived Without Anyone Being Asked.

Nobody was messaged, nobody was waited on, and nothing was rebuilt out of three different tools. A handful of questions came in, each with an answer that the chat assistant already has access to.

An account manager at a laptop on the left of a long, bright shared table, hands on the keyboard mid-sentence, typing a question into chat instead of getting up to ask anybody. Further down the same table on the right, well out of focus, a colleague carries on working, head down and undisturbed.
Nobody interrupted

The colleagues these questions would have gone to kept working, and never found out they had been asked.

What did we promise Halton for the pilot?

Answered Would have gone to the account lead

Where did the Ops migration get to?

Answered Would have gone to the delivery team

Who owns the onboarding audit now?

Answered Would have gone to the team lead

What changed while I was away?

Answered Would have gone to three colleagues at once
Ask again, and again

Drill Down to Get to the Real Answer

People may hesitate to send a colleague four messages in a row to narrow something down. So people ask one or two questions, get a broad answer, and make do with it. The thing people actually needed may be another two clarifying questions away.

In the chat assistant, narrowing is free. Each follow-up keeps everything already established, so “just the ones I need to reply to” is a complete enough question. Most of the time a question costs you goes into the rounds of back-and-forth it takes to reach a useful answer, not into the first answer.

Follow-ups Keep the thread
Rephrasing Costs nothing
Who else finds out Nobody
One thread, three questions deep Same conversation
What changed on my accounts while I was away?
Four things. Halton moved into the pilot’s final week, the Ops migration slipped a day, the onboarding audit finished, and one renewal date moved.
Just the ones I need to reply to.
Two. The Halton scope note is waiting on a signature, and the moved renewal date was flagged for you rather than actioned.
Who flagged the renewal?
The customer success lead, in Tuesday’s update, with a note that the new date clashes with the pilot’s final week.
Three questions, nothing restated, and no colleague in the loop for any of them
Four patterns behind most interruptions

The Questions That Stop Becoming Messages

Most of the questions that interrupt a colleague fall into one of four patterns. None of those questions needs a person when the answer has already been captured.

“What Did We Agree?”

Dates, scope and commitments, from the documents and updates where they were recorded at the time, not from whoever was in the room and can half remember it.

“Where Did It Get To?”

The current state of a piece of work, without opening four tools, chasing a thread, or waiting until the next stand-up to find out it moved on Tuesday.

“Who Is on It Now?”

Who is actually working on something this week, taken from the updates written while doing it, not from an assignment made a month ago that nobody has revisited.

“What Did I Miss?”

Everything that moved while you were out, in one answer instead of a morning of catching up and three colleagues each recounting one part of it.

The reason people hesitate

An Assistant That Your Team Will Trust

Every answer shows the exact updates, documents, and connected source entries the answer was assembled from. The source material opens in one click, so answers that the assistant provides are easy to reference and trust.

Real Information, Not Generated Guesses

Every answer draws from the updates that people already share, the documents that your organization already keeps, and the data sources that you have connected. If the information has not been captured, the assistant says so instead of guessing.

Every Answer Cites Its Sources

The entries listed under an answer are the only ones the assistant used, not a reading list of related material. Each source opens in one click, so the person asking can read the original material and decide for themselves whether the answer is right.

Connect Your External Assistant Through MCP

The same material is reachable from the AI assistant tools that your team already works in. Connect your assistant with our user-scoped read-only MCP, so the answer arrives wherever you work.

See the MCP Read API
Questions people ask first

FAQs

Will the assistant make things up?

An answer is only ever assembled from entries the assistant retrieved first. The entries shown underneath are exactly the ones the assistant used, not a related-reading list.

What can the assistant actually read?

Three things: the work updates your team shares as they go, the documents and knowledge your organization keeps, and the records from the data sources you have connected. The assistant reads all three together, not one at a time, and only within whatever the person asking is already allowed to open. So “What happened with the Henderson account this month?” is answerable from a work update and a customer record in the same reply. Records like customers, deals and tasks arrive from your other systems through the Sync API.

How current is an answer?

As current as the work behind it. Nobody maintains an index for the assistant. An update shared this morning is searchable this morning, without anyone filing it anywhere, which is the difference between asking the assistant and asking a document written the last time anyone had a spare hour.

Could an answer include something the asker should not see?

No. The search is narrowed to the asker’s own roles and departments before anything is looked up, so material outside that is never fetched and can’t be quoted back. Two people asking the same question get answers built from different material, and neither can tell what the other could see. See how permissions are applied

What happens when the answer is not there?

The assistant says so, and names what it did find, so the follow-up is a specific question to a specific person rather than a broadcast to the team. That specific question is still a better starting point than the message you would otherwise have sent, because the question already rules out everything that was written down.

Does anyone see what I asked?

Asking isn’t an event anybody is notified about. The colleague a question would otherwise have gone to isn’t messaged, mentioned or copied in, which is the entire point of asking here instead.

Do people have to change how they work to use the assistant?

Only in the sense that people stop doing something. The material the assistant answers from is the updates your team already shares, the documents you already keep, and the tools you have already connected; nobody writes anything extra, tags anything, or files anything for the assistant’s benefit.

Does the assistant replace the tools we already use?

Our AI chat assistant complements the tools you already have. The assistant captures the activity that happens across your organization (the work updates your team records as they go and the sources an administrator has connected), and your team continues using the tools they already use. The assistant simply makes that work visible to the people who need to see it.

Ask in chat, get the morning back

The fastest answer is the one nobody had to respond to.

Switch the assistant on for your organization, with a daily allowance of assistant messages included. Everybody’s answers are built inside their own access, so there is no second permission list to set up first. The questions your team currently sends to each other start answering themselves, out of the work they were already doing.

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