Smart

The AI is in the conversation, not in a sidebar

Swimlane calls it Smart: the readings a model makes of your LinkedIn threads, and the assistant you can ask anything about your workspace. Every reading wears the same mark, so you always know what a model decided and what you did.

1 A real reply, with everything in it: a no to the call, a request for a document, and a decision that is not theirs alone to take.
2 The reading: one leading intent with its runners-up, and the signals that ride alongside it — asking for a deck is not a refusal.
3 Each reading becomes a page of its own in your inbox, with a count — and a reading nobody matches is not shown at all.

Smart

What Smart actually does

Reads what every reply means — interested, asking about the offer, pointing you at a colleague, or politely done — and what it asks for alongside that: a call, a document, an objection to answer.
Sorts your inbox by what is left to do, not by who wrote last: a thread whose next move is theirs steps aside and comes back on its own.
Reads your draft against the thread before you send it, and names the one thing wrong with it — an unfilled variable, the wrong language, a question you left open.

Smart

The three Smart capabilities

AI assistant

Ask your workspace, and let it act with your approval
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Reply intent detection

What each reply means, and what it asks for
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Inbox triage

What is actually waiting on you, and what can wait
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Message check

One thing named, before you press send
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Contact analysis

What this relationship is, in three sentences
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Smart

Why it can be trusted with a conversation

Typed answers, not prose

The verdicts come back as types — a probability, one label of a closed set, a level on a rubric. A model that cannot write a sentence here cannot invent a field, and there is nothing to parse and get wrong.
Levels, never percentages

A reading is shown as a level, because "73%" reads as a measurement it is not. The same scale runs from the lead list to the contact record, so a level never changes meaning between screens.
Every reading is marked

Anything a model produced carries the wave — the inbox tab, the contact record, the campaign condition. A filter you know to distrust is worth more than one that quietly disagrees with you.
Nothing is sent behind your back

The assistant halts at the first write and asks. Suggested replies are drafts in your composer, never sent messages. Automation stays on the sequences you built yourself.

Smart

And everywhere else in the product

Contact analysis

A summary of the relationship, the next step worth taking, the pipeline stage the contact belongs in — and nothing suggested when the reading is not confident enough to move a card.

Fit scoring

Your ideal customer, written in a paragraph, read against every contact and every new lead. Five levels, and exclusions that cap a score whatever else fits.

Drafts in your voice

A reply suggested from the thread and your tone of voice, dated turn by turn — so a conversation that went quiet three months ago is treated as a fresh start, not a follow-up.