Sakha Review (2026): Pricing, Features & Honest Verdict

TLDR

Sakha is an AI onboarding companion that lives in Slack, answering new-hire questions from your own docs and running guided day-by-day onboarding flows. It is tidy and well-priced for small teams but early and lighter than rivals like Guru. Best for: small remote teams that onboard in Slack. Price: from $29/mo, 14-day trial, no free plan. Rating: 6.2/10.

What is Sakha?

Sakha is an AI onboarding bot that lives inside Slack. Instead of pointing new hires to a separate onboarding portal, it answers their questions directly in the chat they already use, pulling responses from your company knowledge: docs in Google Drive, pages in Notion or Confluence, tickets in Jira and Linear, and code context from GitHub. The pitch is that a new employee never has to interrupt a teammate for the basics, because Sakha already knows the answer and cites where it came from.

It is built by Amna Labs, and it is an early-stage product aimed at small and mid-sized remote teams. Beyond Q&A, Sakha runs structured onboarding flows that play out day by day and can be customized per role or department, so a new engineer and a new salesperson get different first weeks. We tested how it positions against the established Slack knowledge tools, and the short version is that Sakha bundles more under one roof but has far less history behind it.

The timing makes sense. Remote and hybrid hiring turned onboarding into a documentation problem, because there is no desk to wander over to when a new hire is confused. Tools that meet people where they already work, rather than asking them to log into yet another portal, are the natural answer. Sakha is one of a wave of Slack-native bots chasing that gap, and what separates it from a plain FAQ bot is the attempt to be proactive about onboarding rather than just reactive to questions.

What Are Sakha’s Key Features?

AI knowledge base in Slack

The core feature is a Slack-native AI that answers employee questions using your own documents. Ask it where the expense policy lives or how to set up a dev environment, and it replies in the channel with a sourced answer. The sourcing matters: each reply points back to the document it came from, so a new hire can verify rather than blindly trust the bot. Coverage depends entirely on how well your docs are organized, so messy knowledge bases produce weaker answers.

Day-by-day onboarding flows

Sakha lets you build onboarding flows that unfold over a new hire’s first days and weeks. You set the steps, and the flows can differ by role and department, so the experience for a designer is not the same as for an account manager. This is the feature that separates Sakha from a plain knowledge bot: it is proactive, nudging the new hire through tasks rather than only answering when asked. In practice that means a new hire’s first week is scripted: meet your team on day one, set up tooling on day two, complete compliance reading by day three. The manager builds the flow once and Sakha runs it for every future hire in that role, which is where the time savings actually come from.

Integrations across your stack

Sakha connects to Slack, Google Drive, Notion, Confluence, GitHub, Linear, and Jira. That breadth matters because onboarding answers live everywhere: the dev setup is in GitHub, the HR policy is in Drive, the project context is in Jira. By indexing across all of them, Sakha can answer a wider range of questions than a tool tied to a single source. The flip side is that integrations are only as good as how current your docs are, so stale source material produces stale answers regardless of how many tools are connected.

Knowledge gap detection

When several employees ask a question Sakha cannot answer, it flags the gap. This is a genuinely useful loop, because it tells your team exactly which documentation is missing or out of date. It is available from the Growth plan upward. Over time it turns onboarding pain points into a concrete list of docs to write, which is more than most knowledge tools offer.

Contract and policy review

Sakha also includes employment contract and NDA review with risk scoring, plus an AI policy generator. These are the features that feel furthest from the core onboarding pitch. They are handy if you are a small team without legal support, but they overlap with dedicated contract tools and should not be the reason you buy. Plan limits cap how many reviews you get: 5 on Starter, 25 on Growth, unlimited on Scale.

How Much Does Sakha Cost?

Sakha starts at $29 a month for the Starter plan, which covers 5 onboardings, 500 Slack Q&A messages, 5 contract reviews, and 10 policy generations per month. Growth is $99 a month for 25 onboardings, 2,000 Q&A messages, 25 contract reviews, and knowledge gap detection. Scale is $299 a month for unlimited onboardings, 10,000 Q&A messages, and an analytics dashboard. Enterprise is custom-priced and adds SSO/SAML, a dedicated CSM, and a security review.

Against the competition, Sakha’s entry price is reasonable. Guru, the established Slack-friendly knowledge platform, prices per user and climbs quickly for a full team, so a small group can come out cheaper on Sakha’s flat Starter tier. The trade is maturity: Guru has years of refinement and a large customer base, while Sakha is still proving itself.

There is no permanent free plan, only a 14-day trial with full access and no card required. That is enough time to test answer quality on your own docs, which is the single thing you must verify before committing. If the bot fumbles your documentation in two weeks, no price is low enough.

Who is Sakha Best For?

Use Sakha if you are a small or mid-sized remote or hybrid team that already runs in Slack and hires often enough that onboarding the same way every time is a real chore. The Slack-native approach means new hires learn nothing new to get answers, and the day-by-day flows take the manual checklist off a manager’s plate. At $29 to $99 a month, it is an easy experiment for a team in that situation.

Skip Sakha if your company is large, heavily regulated, or already standardized on a mature knowledge platform like Guru. Skip it too if your documentation is thin or disorganized, because the AI can only answer from what you give it. And do not buy Sakha for the contract and policy features alone; those are a bonus, not a core legal tool.

Best Sakha Alternatives

Guru

Guru is the established name for teams that live in Slack. It is a full knowledge management platform with verified answer cards, strong browser and Slack integrations, and years of polish. It prices per user, which gets expensive for big teams, but it is the safe choice if you want a proven product over a new one. If onboarding is critical and you cannot risk a young tool, Guru is the default.

Question Base

Question Base is a focused Slack answer engine. It captures answers from your Slack conversations and turns them into a self-maintaining knowledge base, so the bot gets smarter as your team talks. It is narrower than Sakha, with no onboarding flows or contract review, but if all you want is accurate Slack answers it does that job cleanly and is worth comparing on price.

Perfect Wiki

Perfect Wiki turns Slack into a maintained team wiki. One person fills in the knowledge base and everyone else queries it from within Slack. It is simpler than Sakha and aimed at documentation rather than guided onboarding, so it suits teams that mainly need a tidy, searchable wiki without the AI onboarding workflow. Pricing tends to undercut bigger platforms.

Final Verdict: Is Sakha Worth It?

Sakha gets the core idea right. New hires should not have to leave Slack or pester teammates to get up to speed, and a sourced AI bot plus structured onboarding flows is a sensible way to fix that. For a small remote team that hires regularly, the $29 Starter plan is a low-risk way to automate the repetitive parts of onboarding, and the knowledge gap detection is a smart touch.

The reasons it lands at 6.2 are youth and focus. Sakha is early, with a thin track record next to Guru and Question Base, and it stretches into contract and policy review in a way that dilutes the onboarding story rather than strengthening it. Trial it on your real documentation before you commit, and judge it on answer quality alone. If the bot handles your docs well, it is a fair-value pick for the right small team. If not, a proven alternative like Guru is the wiser spend.