Sistava

AI Meeting Assistant for Calls, Notes, and Follow-Through

Join meetings, capture context, summarize decisions, and draft the follow-up automatically.

The AI meeting assistant is built for teams that live in calls. It joins the meeting, captures the discussion, turns the call into a searchable record, and keeps the follow-up moving after the meeting ends. It is the fastest path from conversation to action without making anyone manually rewrite the meeting from memory.

Overview

Every meeting ends with someone scribbling notes nobody will read again. By Friday, half the action items are gone, the customer hasn't heard back, and the deal is colder than it needs to be. An AI meeting assistant joins the call as a real participant, captures what was said, writes the recap, and ships the follow-up before the next meeting starts.

The solution is intentionally framed around outcomes: capture the meeting, create the summary, draft the follow-up, and preserve the context for later. That is what makes the page useful for SEO and for actual buyers.

Sistava is positioned as the more powerful option because the assistant does not stop at notes. It keeps working after the call, turning the conversation into action and long-term memory.

Before / After

Benefits

Live capture

Join the meeting automatically and record the conversation in real time with speaker-aware notes and a searchable transcript.

Structured summaries

Turn every meeting into a readable recap with decisions, action items, and next steps already organized.

Follow-up drafts

Generate follow-up emails and recap messages immediately after the call so momentum never stalls.

Search across calls

Search past meetings for quotes, decisions, objections, or commitments without rewatching the full recording.

Cross-meeting memory

Build a persistent context trail across recurring meetings, projects, and customer conversations.

Flexible capture modes

Use bot capture when you want the assistant in the meeting or desktop capture when you want a quieter workflow.

How It Works

  1. Connect the calendar — Link the assistant to the meetings you want covered so it knows when to join and what context to keep.
  2. Capture the call — The assistant joins or records the meeting and turns the conversation into a structured transcript as it happens.
  3. Generate the recap — When the call ends, you get a summary, action items, and a follow-up draft ready to send.
  4. Keep the context alive — The transcript and summary stay searchable so future meetings can reference past decisions without manual digging.

Comparison

DimensionTraditionalWith Sista
TranscriptionManual notes or raw recording onlyLive transcript plus structured meeting notes
SummarySomeone has to rewrite the call laterAutomatic recap with decisions and action items
Follow-upWritten from memory after the meetingDrafted immediately from the meeting context
SearchabilityVideo files and scattered docsOne searchable workspace across every call
CoverageDepends on a person being availableAlways on, across every scheduled call
MemoryThe team has to remember what was saidContext stays attached to the conversation history

FAQ

What is the difference between a meeting assistant and a meeting recorder?

A recorder gives you a file. A meeting assistant gives you the transcript, the summary, the action items, and the follow-up that keeps the work moving.

Can it attend meetings on my behalf?

Yes. You can use it to cover the call and brief you afterward, or to sit in the meeting while you stay focused on the conversation.

Does it work with Zoom, Google Meet, and Teams?

Yes. Those are the primary meeting platforms the solution is designed to support.

Is there a bot-free option?

Yes. The assistant can use a desktop capture workflow when you do not want an obvious meeting participant in the room.

Can it write follow-up emails?

Yes. It can draft recap emails and next-step messages from the meeting context immediately after the call ends.

Does it keep a history of past meetings?

Yes. Every conversation stays searchable so your team can recover context from earlier meetings whenever they need it.