Zivy

AI assistant that prioritizes and organizes Slack messages for engineering and product teams.

4.8 (4)

レビュー: Daniel Nikulshyn·更新 2026年5月

Productivity Slack Integration Workflow Automation Communication Engineering AI Assistant Team Collaboration

概要

Zivy is an AI-powered communication tool designed to cut through Slack noise for busy engineering and product teams. It analyzes incoming messages, channels, and threads to surface what truly needs attention, helping team members focus on high-priority discussions instead of constantly monitoring every conversation. By learning from user behavior and context, Zivy organizes messages into actionable groups, highlights mentions and decisions, and reduces the cognitive load of staying on top of fast-moving workspaces. It aims to make asynchronous collaboration more efficient without forcing teams to abandon their existing Slack workflows.

主な機能

AI-driven message prioritization
Automatic categorization of conversations
Mention and thread summarization
Context-aware filtering
Slack-native integration
Personalized relevance learning

ユースケース

Cut through Slack noise for engineers

Engineering teams use Zivy to filter out low-priority chatter and surface critical messages, reducing distractions during deep work and focus time.

Prioritize mentions and decisions

Product managers quickly catch up on key mentions, decisions, and action items across multiple channels without manually scanning every thread.

Streamline async collaboration

Distributed teams rely on Zivy to organize conversations into actionable groups, making asynchronous communication more efficient across time zones.

Personalized Slack triage

Individual contributors let Zivy learn their context and behavior to automatically categorize incoming messages by relevance and urgency.

メリット & デメリット

メリット

Reduces Slack overload with smart prioritization
Tailored for engineering and product team workflows
Surfaces important mentions and decisions quickly
Integrates directly with existing Slack setup

デメリット

Limited to Slack-based communication
Effectiveness depends on training period and usage patterns
May not fit teams using other chat platforms

レビュー

4.8

4件の評価の平均。

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Elena Rossi

Years in this space

I've evaluated a lot of these over the years. What stands out here is mention and thread summarization — handled better than most — and tailored for engineering and product team workflows. Effectiveness depends on training period and usage patterns is my one real gripe. Worth the time if this is your use case.

Yuki Mori

Years in this space

I've evaluated a lot of these over the years. What stands out here is context-aware filtering — handled better than most — and integrates directly with existing Slack setup. May not fit teams using other chat platforms is my one real gripe. Worth the time if this is your use case.

Beatriz Costa

Solid for our team

We rolled this out across the team last quarter and integrates directly with existing Slack setup. AI-driven message prioritization fits neatly into how we already work, and automatic categorization of conversations removed a step we used to do by hand. but it has held up under daily use.

Pierre Dubois

Years in this space

I've evaluated a lot of these over the years. What stands out here is context-aware filtering — handled better than most — and tailored for engineering and product team workflows. Worth the time if this is your use case.