Slack GPT

AI assistant in Slack for faster team productivity

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 ⚡ Productivity 🕒 Updated
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Quick Verdict

Slack GPT is a contextual AI assistant built into Slack that summarizes conversations, drafts messages, and automates routine tasks for teams; it’s best for knowledge workers and team leads who want AI inside their workspace, and it’s available across Slack free and paid plans with paid workspaces unlocking broader enterprise controls and limits.

Slack GPT brings generative AI directly into Slack to summarize channels, draft replies, and run custom assistants inside your workspace. Its primary capability is contextualizing conversation history and workspace data to generate concise summaries, action items, and message drafts. Slack GPT’s key differentiator is that it runs as a workspace-level assistant with admin controls, data use settings, and integrations to Slack tools, serving teams, product managers, and support agents. Pricing is tied to Slack workspace plans: basic features are accessible on free/paid Slack plans, while advanced controls and enterprise data protections require a paid Slack plan or Enterprise Grid.

About Slack GPT

Slack GPT is Slack’s native generative AI feature integrated directly into the Slack interface to help teams summarize conversations, draft messages, and create custom assistants that operate inside channels and DMs. Launched by Slack (owned by Salesforce) as part of its 2023–2024 rollout of AI features, Slack GPT positions itself as an enterprise-friendly assistant that leverages workspace context—messages, channel membership, and integrated apps—while giving admins configuration controls over data use and model behavior. The value proposition is to reduce time spent reading threads, hunting for decisions, and crafting repetitive messages by surfacing concise, context-aware outputs without leaving Slack.

Feature-wise, Slack GPT offers several concrete capabilities. Conversation summaries condense channel or thread history into bulletized summaries and action items using the thread’s last N messages (visible in the UI via a “Summarize” action), while Message Drafting can generate suggested replies or longer posts that users can edit before sending. Custom Slack GPTs (workspace assistants) let admins or users create tailored assistants with specific instructions, channel scopes, and integration prompts so the assistant can call out data from pinned items, integrated apps, or specified channels. Admin settings include data-use controls that let workspace owners specify whether prompts, responses, or conversation context may be used to improve models, aligning to enterprise privacy requirements.

On pricing, Slack GPT’s availability is tied to Slack’s workspace plans rather than a separate per-seat charge for the feature itself. Basic Slack GPT functionality, like summary and simple drafting, is accessible to users on Slack’s Free and Pro (formerly Standard) workspaces, but advanced workspace assistant deployment, enterprise data controls, and Organization Grid management require Business+ or Enterprise Grid. Slack’s public pricing (as of 2026) lists Free, Pro ($8–10 per user/month historically), Business+ (around $15 per user/month), and Enterprise Grid (custom pricing) — the exact per-user price for Business+ and Enterprise options is set on Slack’s pricing page or by contact for Enterprise Grid. Administrative controls and data residency features are only available on higher-tier paid plans.

Slack GPT’s real-world users include product managers who use it to summarize weekly sprint channel threads into compact decision lists and customer support leads who generate reply drafts from ticket channels. Two concrete examples: a Customer Support Manager uses Slack GPT to draft templated responses, cutting average response time by measurable minutes per ticket; a Product Lead uses the assistant to produce meeting notes and action-item lists from a design-review thread. For teams considering alternatives, Slack GPT competes with integrations like Microsoft Copilot for Teams; the main difference is Slack GPT’s deep tie to Slack workspace context and Slack admin controls versus Copilot’s Microsoft 365 integration surface.

What makes Slack GPT different

Three capabilities that set Slack GPT apart from its nearest competitors.

  • Workspace-level assistants that can be scoped to channels and configured by admins
  • Admin-configurable data-use and privacy controls tied to Slack workspace plans
  • Native integration with Slack message history, pins, and connected apps for context

Is Slack GPT right for you?

✅ Best for
  • Product managers who need fast thread summaries and action items
  • Customer support leads who need quicker draft replies and ticket triage
  • Team leads who require documented decisions from channel conversations
  • Distributed teams who need searchable, summarized conversation history
❌ Skip it if
  • Skip if you require model-level tuning beyond Slack’s assistant configuration options
  • Skip if you need an AI assistant that operates outside Slack across non-integrated apps

✅ Pros

  • Built directly into Slack so no separate app switching is required
  • Admin controls let workspace owners limit data usage for model improvement
  • Custom assistants can be scoped to channels and tailored to team workflows

❌ Cons

  • Advanced admin and compliance features require Business+ or Enterprise Grid paid plans
  • Context window and accuracy depend on available message history and integrations

Slack GPT Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free Free Basic Slack GPT summaries and drafts in Free workspaces; limited history and integrations Small teams experimenting with AI inside Slack
Pro (Slack Paid) Varies — typically $8–10/user/month More context access and longer history; per-user features but limited admin controls Growing teams needing frequent drafting and summaries
Business+ Approximately $15/user/month Workspace-wide assistants, admin data controls, integrations and retention settings Mid-size teams needing admin controls and integrations
Enterprise Grid Custom Organization-wide deployment, data residency, SSO, and enterprise admin controls Large organizations requiring compliance and scale

Best Use Cases

  • Customer Support Manager using it to draft replies and reduce average response time by minutes per ticket
  • Product Manager using it to summarize sprint threads into prioritized action lists weekly
  • HR Lead using it to generate interview summaries and highlight candidate action items

Integrations

Google Drive Dropbox Zoom

How to Use Slack GPT

  1. 1
    Open a thread or channel
    In Slack, open the channel or thread you want summarized. Click the •• More actions menu (three dots) on a message or thread and choose “Summarize” or open the Slack GPT assistant in the right pane. Success looks like a generated summary and action items appearing in the thread.
  2. 2
    Generate a draft reply
    Click into the message composer in a thread or DM, select the Slack GPT suggestions icon, and ask for a reply (e.g., “Draft a customer response apologizing and offering next steps”). The assistant will populate editable text in the composer for review before sending.
  3. 3
    Create a custom Slack GPT
    From the Slack GPT home (Explore > Slack GPT), choose “Create” to configure a workspace assistant, set its role prompt, scope channels, and add allowed integrations. Publish the assistant to a channel to let teammates invoke it with /commands or the app shortcut.
  4. 4
    Adjust admin data settings
    Workspace admins go to Settings & administration > Workspace settings > Security to find Slack GPT data options. Toggle whether workspace data can be used to improve models and set retention; verification looks like the workspace policy saved and applied.

Ready-to-Use Prompts for Slack GPT

Copy these into Slack GPT as-is. Each targets a different high-value workflow.

Quick Customer Support Reply
Draft fast, polite support responses
Role: You are a customer support assistant with a polite, empathetic tone and clear, action-oriented replies. Constraints: use the last message in this thread as context; keep the reply under 120 words; include one sentence offering next steps and one sentence with a direct call-to-action (CTA). Output format: a single message draft ready to paste into Slack. Example: If customer reports a missing invoice, reply clarifying what you need and offer to escalate. Now generate the reply for the current thread in this channel using those rules.
Expected output: One Slack-ready reply message under 120 words with a clear CTA and next-step sentence.
Pro tip: If the customer mentions a deadline, add a brief apology and a guaranteed next-contact time to reduce follow-ups.
24h Channel Urgent Summary
Summarize last day channel urgency
Role: You are a concise workspace summarizer focusing on urgency and decisions. Constraints: analyze messages from the last 24 hours in this channel; produce exactly three bullets: 'Top urgent issues', 'Decisions needed', 'Quick actions'; each bullet must be one sentence and include responsible party if obvious. Output format: three plain bullets labeled as headings. Example: Top urgent issues: Payment gateway outage affecting checkout, assigned to Payments team. Now summarize the last 24 hours for this channel.
Expected output: Three labeled one-sentence bullets covering urgent issues, decisions needed, and quick actions with owners when available.
Pro tip: Scan for threads with many replies — high reply count often indicates priority items to surface first.
Sprint Thread Into Action List
Convert sprint discussion to prioritized actions
Role: You are a product manager assistant that turns sprint channel threads into executable, prioritized action lists. Constraints: use the last sprint discussion thread; output a JSON array of actions with fields: id, title, priority (High/Med/Low), owner, estimate (hours), and acceptance criteria (one line). Limit to top 8 actions. Prioritization rules: customer-impact and unblocked work rank higher. Output format: JSON only. Example item: {id:1,title:'Fix checkout error',priority:'High',owner:'@sara',estimate:8,acceptance:'Checkout succeeds for 95% of test cases'}. Now extract actions.
Expected output: A JSON array of up to 8 action objects with id, title, priority, owner, estimate, and one-line acceptance criteria.
Pro tip: If owner is unclear, set owner to 'TBD' and add a suggested owner based on recent commenters to speed assignment.
Interview Summary With Scorecard
Summarize interview and recommend next steps
Role: You are an HR assistant summarizing candidate interviews succinctly for hiring teams. Constraints: use the interview thread and attached notes; produce a 5-section output: Candidate overview (2 sentences), Strengths (3 bullets), Areas for concern (3 bullets), Recommended next steps (one of: Hire/Invite second interview/Reject), and a 1-5 scorecard across Technical, Communication, Culture fit. Output format: use labeled headings and bullet lists. Example: Technical: 4, Communication: 3, Culture fit: 4. Now summarize the latest interview thread.
Expected output: A concise 5-section summary with a 1-5 numeric scorecard and a single recommended next step.
Pro tip: Normalize scoring by listing one example observation per score so reviewers understand the numeric ratings.
Incident Postmortem Generator
Produce full incident postmortem report
Role: You are a senior SRE writing a blameless incident postmortem for the incident thread and logs referenced in this channel. Multi-step instructions: 1) Extract a chronological timeline (timestamped bullets). 2) State the brief incident summary (one sentence). 3) Identify root cause with evidence. 4) List impact metrics (users affected, duration, error rates). 5) Provide corrective actions, owners, and deadlines. Constraints: include one short preventative action per corrective action, prioritize by risk reduction, and keep language non-blaming. Output format: structured Markdown with sections: Summary, Timeline, Root Cause, Impact, Actions (table-like bullets owner/deadline/risk reduction). Few-shot examples: see this sample action: 'Rotate expired certs, owner:@ops, due:2026-05-01, prevention: add cert expiry alerts.' Now produce the postmortem using channel content.
Expected output: A structured postmortem with sections: Summary, Timeline, Root Cause, Impact, and prioritized Actions including owner and deadline.
Pro tip: Include exact log timestamps or request them explicitly; precise evidence makes RCA recommendations actionable and credible.
Support Templates and Triage Rubric
Create reply templates, triage rubric, and training examples
Role: You are a senior support manager designing templates and a triage rubric for the support team based on this channel's ticket examples. Multi-step: 1) Produce 5 concise reply templates (formal, empathetic, escalation, refund, feature-request) each 50–90 words. 2) Provide a triage rubric with severity levels (P0-P3) and three checkbox criteria per level. 3) Create two short training examples showing how to apply a template and rubric to a sample ticket. Constraints: templates must include CTA, expected SLA, and internal escalation note. Output format: numbered sections: Templates, Triage Rubric, Training Examples. Now build these using patterns from recent tickets in this channel.
Expected output: Five 50–90 word templates, a severity-based triage rubric with checklists, and two training examples demonstrating application.
Pro tip: For higher adoption, include a one-line shortcut alias suggestion for each template (e.g., '/tpl-refund') so agents can use them instantly in Slack.

Slack GPT vs Alternatives

Bottom line

Choose Slack GPT over Microsoft Copilot if you prioritize deeply integrated Slack context and workspace-level admin controls within Slack.

Head-to-head comparisons between Slack GPT and top alternatives:

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Frequently Asked Questions

How much does Slack GPT cost?+
Cost depends on your Slack plan, not a separate Slack GPT fee. Basic Slack GPT features are available on Slack Free and paid plans; more advanced admin controls, custom assistant deployment, and enterprise data protections require Business+ or Enterprise Grid. Prices for Business+ and Enterprise Grid are listed on Slack’s pricing page or via sales for custom quotes.
Is there a free version of Slack GPT?+
Yes — basic Slack GPT functionality is available on Slack Free workspaces. Free users can access summarization and simple drafting features, but access to extended history, workspace-wide custom assistants, and admin data controls is limited and typically requires a paid Slack plan.
How does Slack GPT compare to Microsoft Copilot for Teams?+
Slack GPT is native to Slack and uses Slack message history and workspace context, while Microsoft Copilot ties into Microsoft 365 data. Choose Slack GPT when your primary collaboration is in Slack and you need workspace-scoped assistants and Slack admin controls; choose Copilot if you need deep Office/Teams and 365 document integration.
What is Slack GPT best used for?+
Summarizing threads, drafting messages, and creating workspace assistants inside Slack. It’s most effective for reducing time spent reading long threads, creating draft replies from channel context, and turning conversations into action items — especially for customer support, product teams, and distributed engineering teams.
How do I get started with Slack GPT?+
Open Slack and try the Slack GPT option in a thread or message composer. Use the •• menu or Slack GPT app shortcut to Summarize a thread or generate a draft, then explore creating a Custom Slack GPT from the Slack GPT home to tailor an assistant for your channel.

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