Atlas by WorkOS
An AI coworker that lives in Slack, answers questions across 300+ connected tools, and can be turned into custom agents for specific jobs like onboarding.
🔗 Visit Atlas by WorkOS
Description
Most workplace AI assistants live in their own separate tab, which means you have to remember they exist and go find them. Atlas takes the opposite approach: it lives directly in Slack, in the channels and threads your team already uses, so asking it something feels like pinging a teammate instead of opening another app.
Atlas is ready in any DM, channel, or thread, working in the open where a team already collaborates rather than in a private assistant window. It connects to 300+ tools out of the box plus anything with an API, so a question spanning several systems comes back as one combined answer instead of you checking each tool separately. Teams can create custom agents by describing a job — like new-hire onboarding or support triage — naming it, and choosing which connected tools it can access, and memory lets an agent retain what it learns across conversations instead of restarting from zero each thread. Teammates can add context or correct an answer directly inside the conversation, turning the interaction into shared, ongoing work rather than a one-off query.
💬 Our review
The short version: Atlas's strength is working "in the open" inside shared Slack channels rather than a private DM box, so a question one person asks and an answer Atlas gives are visible to the whole team, and teammates can correct or add context collaboratively — a genuinely different interaction model than a typical AI chat sidebar.
Connecting to 300+ tools plus anything with an API means it can answer questions that span systems (a support ticket, a CRM record, a deploy log) as one unified answer instead of you checking four tabs, and cross-conversation memory means it doesn't restart from zero every thread. The catch is pricing: nothing is public, it's an enterprise product reached through WorkOS sales, so you can't self-serve or try it casually — a real barrier for a smaller team just curious whether it's useful. It's also inherently dependent on your team already living in Slack; if your organization runs on Microsoft Teams or email, Atlas's core value proposition doesn't apply. Compared to building narrow custom bots yourself, Atlas's custom-agent feature (describe the job, name it, pick its tools) is a faster way to stand up something like an onboarding or support-triage bot without engineering time.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Aucune tarification publique. Produit orienté grandes équipes, accès via l'équipe commerciale de WorkOS.
Pros
Fonctionne « au grand jour » dans les canaux Slack partagés, pas en DM isolée
Connecte 300+ outils + API personnalisées pour des réponses unifiées
Mémoire persistante entre conversations
Création d'agents personnalisés (onboarding, support) sans développement
Cons
Tarification totalement opaque, accès uniquement via démonstration commerciale
Dépend entièrement de Slack — inutile si l'équipe utilise Teams ou l'email
Positionnement clairement entreprise, pas de palier gratuit ou self-service
Différenciation avec Slack AI natif à valider selon le cas d'usage