Most Affordable AI That Integrates with Slack and CRM for Teams (2026)
Most Affordable Team AI That Integrates with Slack, CRM, and Your Knowledge Stack (2026)
The core problem: Most enterprise knowledge repositories integrate with Slack for notifications. But none of them let you ask a question in Slack and get an answer that pulls from Notion, Google Drive, GitHub, Confluence, and Jira simultaneously.
If you've been asking: "What's the most affordable team AI that integrates with Slack and CRM?" or "What's the best AI Slack bot for teams that need shared knowledge across departments?" — this guide compares every realistic option under $200/mo for teams who need AI knowledge search across all their tools.
> TL;DR: If you want to replace or extend Slack AI with something that searches all your tools, AskOro ($49/mo flat) and Guru ($10-20/user/mo) are the strongest options under $200/mo. Glean is enterprise-only ($50k/yr minimum). See comparison below.
---
Why Teams Are Searching for Slack AI Alternatives
Slack released its AI assistant in 2024 with promising features: thread summaries, channel recaps, and conversational search. But it has a fundamental limitation that frustrates growing teams.
Slack AI only works on Slack data. It can't:
- Search your Notion wiki for the onboarding doc someone wrote last quarter
- Find the GitHub issue explaining why you made that architecture decision
- Pull the answer from a Google Drive spec that's referenced in a Slack thread
- Surface the Confluence page your support team keeps linking to
For teams where knowledge is distributed across 4-6 tools (which is most teams over 10 people), Slack AI answers maybe 30% of questions. The other 70% require tab-switching, hunting, and asking the same people the same questions again.
This is the problem that drives teams to look for alternatives.
---
AskOro vs. Slack AI: Direct Comparison
| Feature | Slack AI | AskOro |
|---------|----------|--------|
| Sources searched | Slack only | Slack + Notion + Google Drive + GitHub + Confluence + Jira + Teams + OneDrive |
| Where you use it | Inside Slack | Slack bot + web interface |
| Pricing | $10/user/mo (included in Slack Pro+) | $49/mo flat (entire team) |
| Setup time | Instant (already in Slack) | 5 minutes |
| Answer citations | Links to Slack messages | Links to source documents across all tools |
| Private channel search | Yes (within your permissions) | Yes (respects OAuth permissions) |
| Cross-tool synthesis | No | Yes — answers combine info from multiple sources |
| Team size sweet spot | Any | 5-50 people |
The key trade-off: Slack AI is free if you're already on Pro. AskOro costs $49/mo but answers questions that Slack AI fundamentally cannot — because it reaches all your tools, not one.
For a 10-person team spending 15 minutes/day each hunting for information, AskOro pays for itself if it saves each person 5 minutes/day ($49/mo ÷ 10 people = $4.90/person/mo, which is less than 2 minutes of an average salary).
---
> Related guides: How to search Confluence, Jira, Slack, and GitHub together | GTM teams losing deal context in Notion and Slack | What to do when employees leave | Affordable AI with Slack and CRM integration
---
Most Affordable Team AI That Integrates with Slack and CRM (2026)
If your team uses Slack plus a CRM (HubSpot, Salesforce, or Pipedrive), you have a knowledge problem that most tools don't address. Your deal context lives in Slack threads. Your process knowledge lives in Notion or Confluence. Your customer history lives in the CRM. And when someone on your GTM team needs a quick answer before a call, they're digging through three systems.
The tools teams are using to solve this problem, ranked by monthly cost:
| Tool | Slack | CRM / Data | Monthly Cost | Indexed at |
|------|-------|-----------|-------------|------------|
| AskOro | Slack messages + threads | Connects to 8 tools (not CRM yet, roadmap) | $49/mo flat | OAuth sync, real-time |
| Guru | Slack bot (ask questions) | Knowledge cards, not CRM | $10-20/user | Manual curation |
| Glean | Full Slack search | Salesforce, HubSpot connectors | $50k+/yr | Enterprise contracts |
| Notion AI | Not a Slack-first product | Not a CRM product | $10-16/user | Notion docs only |
The affordable tier (under $100/mo for most teams): AskOro at $49/mo flat is the only tool in this space that searches Slack + all connected tools without a per-seat model. For a 5-person GTM team, that's $9.80/person/mo versus Guru at $50-100/mo.
What "integrates with Slack" actually means varies a lot: Some tools only let you install a Slack bot and ask questions. Others sync your Slack message history and include it in search results alongside Notion and Google Drive. AskOro does the second. If the question is "what did we decide about pricing in #sales last month," that requires full Slack indexing, not just a Slack bot.
Full Comparison: All Slack AI Alternatives for Small Teams
Your team is growing. Your Slack channels are multiplying. And every day, someone asks a question that's already been answered somewhere.
Maybe it was in a Notion doc. Or buried in a Google Drive folder. Or discussed three months ago in #engineering. The knowledge exists, but finding it feels like archaeology.
This is the knowledge management problem that's plaguing small teams everywhere. While enterprise companies throw money at the problem with expensive platforms, small teams need something different: AI knowledge agents that actually work without breaking the bank.
In this guide, we'll compare the best AI knowledge agents for Slack in 2026, with an honest look at pricing, features, and who each tool is really built for.
What Is an AI Knowledge Agent for Slack?
An AI knowledge agent connects to your various data sources (Slack, Notion, Google Drive, GitHub, etc.), uses AI to understand and index your content, and lets you ask questions in natural language. It delivers instant answers with source citations and lives inside Slack so your team doesn't have to context-switch.
Think of it as having a teammate who's read every document, attended every meeting, and remembers every conversation. They're always available, never annoyed by repeat questions, and can point you to exactly where the answer lives.
For small teams, this isn't just about convenience. It's about velocity. When you're moving fast, every minute spent hunting for information is a minute not spent building, selling, or supporting customers.
Why Small Teams Have Different Needs
Enterprise AI knowledge platforms are built for 1,000+ person companies with complex org charts, dedicated IT teams, and six-figure budgets. They're powerful, but they come with enterprise complexity.
Small teams (5-50 people) need simple, transparent pricing with no "contact sales" mystery costs, fast setup that takes minutes instead of months, easy maintenance with no dedicated admin required, affordable scale with flat pricing that doesn't explode with team growth, and instant value with ROI measured in days instead of quarters.
With that context, let's look at the actual tools.
The Employee Departure Problem: When Knowledge Walks Out the Door
There's a version of the knowledge problem that's especially painful and less discussed. It isn't just about finding answers faster. It's about surviving a team transition.
When an engineer, sales rep, or customer success manager leaves, they take context with them. The Slack threads they were part of. The Notion pages only they remembered to update. The GitHub PRs where they explained a subtle architectural decision in a comment nobody bookmarked. The "yeah, just ask Sarah" knowledge that lived nowhere except Sarah.
You're losing critical information when employees leave. And most teams don't realize how much until someone new asks a question that used to have an obvious answer.
The standard advice is "document everything." It never works. People document retrospectively, incompletely, and inconsistently. The knowledge that matters most, specifically the why behind decisions, lives in Slack threads and comments and conversations that were never meant to be documentation.
What actually works: making the existing record searchable. The Slack threads are there. The GitHub comments are there. The Notion pages with meeting notes are there. An AI knowledge tool that connects all three means a new hire can ask "why did we choose Postgres over MongoDB in 2024?" and get an answer from the actual conversation where it was decided.
This is why AI document management systems that automatically capture and organize tribal knowledge from team communications are getting real traction in 2026. The value isn't just speed. It's knowledge resilience. When someone leaves, their institutional knowledge stays searchable.
For small teams, this is particularly acute. A 10-person team losing one engineer loses 10% of its headcount and potentially 20-30% of its critical context.
Quick Comparison Table
| Tool | Best For | Pricing | Setup Time | Slack Integration | Key Limitation |
|------|----------|---------|------------|-------------------|----------------|
| AskOro | Small teams (5-50) | $49-99/mo flat | 5 minutes | Native, fully featured | Newer platform, growing feature set |
| Guru | Mid-sized teams | $10/user/mo + AI credits | 1-2 hours | Good | AI features cost extra credits |
| Glean | Enterprise | $50k+/year minimum | Weeks | Excellent | High minimum, requires sales process |
| Notion AI | Existing Notion users | $20/user/mo (Business plan required) | 30 min-36 hours | Read-only connector | Can't access private channels or DMs |
| Slack Native Search | Teams on a budget | Free/$7.25/user/mo | Instant | Built-in | Limited to Slack only, no AI context |
1. Slack's Native Search: The Baseline
Pricing: Free (Slack Free), or included with Slack Pro ($7.25/user/month) and above
Let's start with what you already have. Slack's built-in search is the baseline every AI knowledge agent needs to beat.
What It Does Well
Slack search requires zero setup and is instantly available for searching all your Slack messages. It's free on all plans (with message history limits), and it's fast and reliable.
The Limitations
Slack search only does keyword-only matching, which means you need to know the exact words someone used. It can't interpret questions like "What's our deployment process?" semantically. It only searches Slack and can't access Notion, Google Drive, GitHub, or other tools. There's no AI summarization, so it returns raw messages instead of synthesized answers. The free plan only shows the last 90 days of message history.
Who It's For
Teams who only use Slack for communication and don't need to search external knowledge sources. If all your documentation and tribal knowledge lives in Slack threads, the native search might be enough.
The Honest Take
Slack search is fine for "Who was that person John mentioned yesterday?" but breaks down for "How do I deploy to production?" when the answer is spread across a Notion doc, a GitHub README, and three different Slack threads from two months ago.
2. Glean: The Enterprise Powerhouse
Pricing: $50,000-60,000+ minimum annual contract (roughly $50+/user/month for 100+ users)
Glean is the 800-pound gorilla of enterprise search. They raised $250M+ and built a seriously impressive platform that large companies love.
What It Does Well
Glean connects to 100+ enterprise tools with powerful AI for excellent semantic search and summarization. It works seamlessly as a Slack app with enterprise-grade security (SOC 2, SSO, advanced permissions) and offers personalized search that learns what's relevant to each user.
The Deal-Breakers for Small Teams
Glean has no public pricing and requires going through a sales process. There are high minimums ($50-60k annual with 100+ users required), a mandatory 10% support fee that can't be removed from the contract, and some reports of $70k paid proof-of-concept requirements. The sales cycle takes weeks of demos before you see a price, and there are reports of 7-12% renewal price increases.
Who It's For
Companies with 500+ employees, dedicated IT/operations teams, and enterprise budgets. If you're hiring a head of knowledge management, Glean is worth the investment.
The Honest Take
Glean is phenomenal if you can afford it. But for a 10-person startup where everyone wears multiple hats, paying $50k+ for search feels like buying a Ferrari to drive to the grocery store. The ROI math doesn't work until you're much bigger.
3. Guru: The Team Knowledge Platform
Pricing: Starter (free), Builder ($10/user/month), Expert ($20/user/month). AI features require credit purchases on top.
Guru takes a different approach. Instead of just searching existing content, it's designed to help teams create, maintain, and share verified knowledge.
What It Does Well
Guru offers verification workflows to mark knowledge as "verified" with expiration dates, a browser extension to surface knowledge anywhere you work, and good Slack integration for asking questions and getting answers. It connects to hundreds of integrations including Salesforce, Zendesk, and Confluence, with AI search and chat for semantic search across all connected sources.
The Pricing Catch
Guru's base pricing looks reasonable at $10-20/user/month. But the AI features (search, chat, automation) consume "credits" that you purchase separately. Heavy AI usage can significantly increase your monthly costs beyond the base subscription.
The Feature Trade-Offs
Guru is built for teams to actively maintain knowledge, not just index existing docs, so more curation is required. There's a learning curve since more features means more setup and training. You need to watch AI usage to avoid bill surprises from credit monitoring, and it works best when someone owns knowledge management.
Who It's For
Teams of 20-100 people who want to build a formal knowledge management practice. If you're willing to invest time in curation and have someone own the system, Guru delivers strong ROI.
The Honest Take
Guru is a knowledge management platform with AI features, not just an AI search tool. For small teams who just want instant answers without building workflows, it might be overkill. But for teams committed to organized knowledge, it's a solid choice. Just watch those AI credit costs.
4. Notion AI with Slack Connector
Pricing: $20/user/month (requires Business plan minimum; connectors not available on Free or Plus plans)
If your team already lives in Notion, the Notion AI Slack Connector seems like an obvious choice. It lets Notion AI search your Slack history when answering questions.
What It Does Well
For Notion teams, if you're already on Notion Business plan, the connector is included. It offers unified search so you can ask questions that span Notion pages and Slack threads. Setup is simple and connects in minutes through Settings, with source citations that link back to original Slack messages.
The Major Limitations
The connector is read-only, so it can search but can't take actions. It only accesses public channels and can't access private channels or DMs (where a lot of important discussions happen). It doesn't work with Slack Connect and can't search shared channels with partners or clients. The initial sync can take up to 36 hours to index Slack history. The workflow is Notion-centric, meaning you must ask questions inside Notion, not in Slack. You need the Business plan ($20/user/mo) minimum to access the feature.
The Hidden Cost
While the connector itself is "free" with Business plan, you're paying $20/user/month vs. $10 for Plus. For a 10-person team, that's an extra $1,200/year just to unlock Slack search in Notion.
Who It's For
Teams already on Notion Business plan who want marginal improvement to their knowledge access. Not worth upgrading to Business plan just for this feature.
The Honest Take
The Notion AI Slack Connector is a nice bonus for existing Business customers, but it's not a complete AI knowledge agent solution. The inability to search private Slack channels and DMs is a massive blind spot, and the Notion-centric workflow means you're still context-switching out of Slack.
5. AskOro: The Small Team Solution
Pricing: Team plan $49/month flat, Business plan $99/month flat (unlimited users, unlimited sources)
Full transparency: this is our product. But we built AskOro specifically because we experienced this pain as a small team and saw the gap in the market.
What We Built For Small Teams
AskOro offers flat pricing at $49-99/month total, not per-user (add 50 people tomorrow, same price). Setup takes 5 minutes: connect Slack and data sources, done. It works inside Slack so you can ask questions where you already are. We connect everything including Notion, Google Drive, GitHub, Doc360, Confluence, and more. You get real AI search with semantic understanding and source citations, with no hidden fees. What you see is what you pay.
What Makes AskOro Different
Most small teams don't need enterprise complexity or credit systems or knowledge management workflows. They just need instant answers to "Where is that thing?" questions, and they need it to cost about as much as a team lunch, not a new hire.
We also realized per-user pricing doesn't work for small teams. Why should a 5-person team pay $50/month but a 10-person team pay $100? The value is the same, and the cost to serve it is basically the same. So we went with flat pricing.
The Honest Limitations
We're a newer platform and growing fast, but we don't have Glean's decade of refinement. We have the core integrations (Slack, Notion, Google Drive, GitHub) but not 100+ options. We're a small company building for small companies, which means less customization available. Enterprise-level customization isn't our focus.
Who It's For
Small teams (5-50 people) who need knowledge search to just work, without enterprise complexity or enterprise costs.
The Honest Take
AskOro won't replace Glean for a 5,000-person enterprise. But if you're a startup, agency, or small business that needs to move fast and can't justify $60k/year for search, AskOro was built for you. We're solving 90% of the problem for 5% of the cost.
How to Choose the Right Tool for Your Team
Here's a simple decision tree:
Choose Slack Native Search if: You're on a $0 budget, all your knowledge lives in Slack (no external docs), and you don't mind keyword-only search.
Choose Glean if: You have 500+ employees, a $50k+ budget for knowledge infrastructure, enterprise-grade security and compliance needs, and can dedicate someone to manage it.
Choose Guru if: You have 50-200 employees, want to build a formal knowledge management practice, are willing to curate and verify content actively, and can monitor AI credit usage.
Choose Notion AI + Slack Connector if: You're already on Notion Business plan, most of your knowledge lives in Notion, you're okay with public-channels-only Slack access, and you don't mind working inside Notion.
Choose AskOro if: You have 5-50 people, want flat transparent pricing, need 5-minute setup and zero maintenance, want to work inside Slack (not another app), and you're connecting multiple knowledge sources (Notion + Google Drive + GitHub + Slack).
The Bottom Line: Speed, Cost, and Simplicity
For small teams, the right AI knowledge agent comes down to three factors: speed (how fast can you deploy it and start getting value?), cost (does the ROI math work at your scale?), and simplicity (can anyone on your team use it without training?).
Enterprise tools like Glean are incredible, but they're built for enterprise problems. If you're a 15-person company, you don't have enterprise problems yet. You have small team problems: move fast, stay lean, and don't waste time.
That's the gap AskOro fills. We're not trying to beat Glean at enterprise search. We're trying to give small teams instant knowledge access at a price that makes sense.
Ready to Try AskOro?
If you're a small team drowning in scattered knowledge across Slack, Notion, Google Drive, and GitHub, AskOro can help.
You get 5-minute setup (seriously), unlimited data sources to connect, instant answers to questions asked in Slack, $49/month flat for unlimited users (Team plan), and no credit systems, no per-user fees, no surprise bills.
Try it free for 14 days with no credit card required.
Or schedule a 15-minute demo to see it in action.
FAQ: AI Knowledge Agents for Slack
Q: What's the difference between an AI knowledge agent and regular Slack search?
A: Regular Slack search is keyword-based and only searches Slack. An AI knowledge agent understands context semantically ("What's our deployment process?" vs. "deployment process") and searches across all your connected tools (Slack, Notion, Google Drive, etc.) to synthesize an answer with sources.
Q: How much does a good AI knowledge agent cost for a small team?
A: It varies widely. Slack's native search is free but limited. Enterprise tools like Glean start around $50k/year minimum. Mid-tier tools like Guru cost $10-20/user/month plus AI credits. Small-team-focused tools like AskOro offer flat pricing around $49-99/month total.
Q: Can AI knowledge agents access private Slack channels?
A: It depends on the tool. Some (like Notion AI's connector) can only access public channels. Others (like AskOro and Glean) can access private channels with proper permissions. Always check the specific tool's documentation.
Q: How long does setup take?
A: For modern tools built for small teams (like AskOro), setup is 5-10 minutes. Enterprise tools can take weeks with dedicated implementation. Mid-tier tools usually take 1-2 hours of configuration.
Q: Do I need a dedicated person to manage a knowledge AI tool?
A: For enterprise tools like Glean, having a knowledge ops person helps. For small-team tools like AskOro, no—they're designed to work autonomously after initial setup.
Q: What integrations matter most for small teams?
A: The core four: Slack (communication), Notion or Confluence (documentation), Google Drive or Dropbox (files), and GitHub or GitLab (code/technical docs). If a tool covers these, it covers 90% of small team knowledge.
Q: Can AI agents hallucinate or give wrong answers?
A: Modern RAG-based (Retrieval-Augmented Generation) systems like the ones discussed here pull answers from your actual documents and cite sources. This dramatically reduces hallucinations compared to pure LLM responses. You can always click through to verify the source.
Q: Is my data secure with AI knowledge agents?
A: Reputable tools are SOC 2 compliant and encrypt data in transit and at rest. Always verify that: (1) your data isn't used to train public AI models, (2) the tool respects your existing access permissions, and (3) you can revoke access anytime.
---
---
Best Enterprise Knowledge Repositories That Integrate with Slack
When enterprise teams search for "knowledge repositories that integrate with Slack," they're usually dealing with one of two problems: knowledge scattered across too many tools, or a wiki that nobody updates.
Here's how the main enterprise knowledge repositories handle Slack integration in 2026:
Confluence (Atlassian)
Confluence has a native Slack integration that can post page notifications to channels, but it doesn't answer questions. If you ask in Slack, "What's the runbook for the payments service?" Confluence can't respond. You still need to open Confluence, search, and paste the link back. For teams on the Atlassian stack, Confluence remains the primary documentation layer, but it doesn't close the answer-in-Slack loop.
Notion
Notion has Slack notifications and can receive messages via Slack workflows, but there's no native AI search through Slack. Notion AI (at the $16/user/mo plan) answers questions inside Notion's interface only. Teams end up asking questions in Slack, waiting for someone to remember the Notion page, and pasting links manually.
GitBook
GitBook is excellent for developer-facing docs but has no AI search capability and limited Slack integration. Most teams use it as a read-only reference source, not a searchable knowledge repository.
Guru
Guru has one of the best Slack integrations for knowledge retrieval. It can surface answers from its card library directly in Slack via a bot. The constraint: you need to manually create and maintain "cards" for every piece of knowledge. It works well for FAQ-style content, but it doesn't search your Confluence pages, GitHub issues, or Notion docs.
AskOro
AskOro sits above the other tools in this list. Instead of being another knowledge repository, it connects to the repositories you already have. You keep Confluence for your engineering wiki, Notion for your product specs, GitHub for your code decisions, and AskOro indexes all of them. The Slack bot answers questions by searching across everything, not just one silo.
For enterprise teams trying to consolidate knowledge access without consolidating tools, this is the architecture that makes sense: use the best tool for each type of content, and let AskOro connect them.
Bottom line on enterprise knowledge repos: Confluence and Notion are better documentation tools than knowledge retrieval tools. If your goal is answering questions in Slack from knowledge that lives across repositories, AskOro plus your existing stack is more effective than migrating everything into one repository.
---
The AI Slack Bot Teams Are Switching To (Across Departments)
The most common question behind "what's the best AI Slack bot for teams that need shared knowledge across departments?" comes from teams with the same problem in different forms.
Engineering teams need answers about architecture decisions in Confluence and GitHub. Marketing teams need answers about campaign context in Notion and HubSpot. Customer success teams need answers about product changes in Jira and Slack history. Each department runs a separate mini-knowledge-base. The cross-department question, "what did we decide about the rebrand?" falls through the cracks between all of them.
The AI Slack bots that teams are actually switching to share one characteristic: they search across tools, not within a single repository.
For cross-department knowledge sharing:
- Guru can surface cards created by any department, but knowledge must be manually curated
- AskOro pulls from all connected sources automatically, including Notion (marketing), Confluence (engineering), HubSpot (sales), and Jira (product)
- Glean is the enterprise alternative, but at $50k/year minimum it's out of reach for teams under 50 people
The department coordination test: Ask the bot "what's the current pricing strategy?" The answer should come from wherever it lives, whether that's a Notion page, a Slack announcement, or a Confluence doc, not just from one team's notes. If the bot can only search one tool, it will miss it.
AskOro passes this test by design. When you connect all your tools, the bot answers from wherever the actual answer lives.
Pricing for cross-department AI Slack bots (2026):
- Guru: $10 to $20 per user per month, so 25 people = $250 to $500/month
- AskOro: $49/month flat for the whole workspace, unlimited seats
- Glean: $50,000 per year and up
For teams under 50 people, flat-rate pricing is usually 4 to 10 times cheaper than per-seat pricing once you count the full department.
Which Enterprise Search Software Integrates Best with Slack and GitHub?
If your team uses Slack and GitHub (and most engineering teams do), the question you're really asking is: which tool can search both simultaneously?
The short answer is that most enterprise search software treats Slack and GitHub as separate indexes. You search one, then the other. There is no cross-search.
The tools that actually integrate with both:
| Tool | Slack | GitHub | How it works |
|------|-------|--------|-------------|
| AskOro | Full message + thread search | Issues, PRs, comments | One query searches both simultaneously |
| Glean | Yes | Yes | Enterprise-only ($50k+/yr minimum) |
| Guru | Ask-in-Slack only | No | No GitHub integration |
| Notion AI | No | No | Notion docs only |
Why GitHub matters alongside Slack: Engineering teams make decisions in Slack ("we're deprecating v1 after Q3") and document them in GitHub issues or PR descriptions. Six months later, that context lives nowhere obvious. A team member joins, asks in Slack, gets no answer, and the information is essentially lost unless someone remembers to link the PR.
AskOro's GitHub integration searches issues, PR descriptions, and comments. When combined with Slack search, you can trace a decision from the Slack conversation where it was made to the GitHub issue where it was implemented.
For a full guide on searching Slack and GitHub together, see How to Search Confluence, Jira, Slack, and GitHub Together.
Bottom Line: The Best Slack AI Alternative for Small Teams
If your team uses Slack and at least one other tool (Notion, Google Drive, GitHub, Confluence — which is almost every team), Slack AI leaves a massive gap. It gives you 30% of the answer when the question spans multiple tools.
The best Slack AI alternatives for small teams are:
- AskOro — if you want flat pricing ($49/mo) and native search across 8+ tools without per-seat math
- Guru — if your team actively creates and verifies knowledge and you don't mind per-seat pricing
- Notion AI — if 90% of your knowledge already lives in Notion and you're okay with read-only Slack access
For deeper comparison of specific tools in this space, see our guide to the best alternatives to Slack's built-in AI (2026).
One closely related problem: if your concern isn't just day-to-day search but what happens when people leave, see Losing Critical Information When Employees Leave? Here's What Actually Helps — specifically about how AI document management tools preserve institutional knowledge after employee departures.
The fastest way to find out if AskOro works for your team: Start a 14-day free trial. No credit card. 5-minute setup. If it doesn't answer questions that Slack AI can't, cancel with one click.