Asana AI Studio vs Slack AI: pricing, features and which to choose

Asana AI Studio is a no-code workflow builder from Asana, Inc., the public work-management company founded in 2008. Asana unveiled it on October 22, 2024, initially offering early access to Enterprise and Enterprise+ customers, with Advanced annual access planned next. The product embeds AI agents in Asana workflows rather than presenting a separate chatbot: teams can design automations for intake, planning, execution, approvals, reporting, and task coordination. It draws context from Asana’s Work Graph, which records relationships across organizational work, and lets users deploy workflows where teams already manage projects. Asana reports roughly 4,459 employees, about $790.8 million in annual revenue, and approximately $454.5 million in total funding, figures attributed to a current company-data summary rather than Asana’s filing. AI Studio is therefore best understood as an enterprise workflow layer built into an established project platform.

Asana AI Studio turns project context into no-code automations for intake, routing, approvals, drafting and reporting. A typical workflow starts with a template or blank design, then adds instructions, triggers and AI steps that act on tasks inside Asana. Teams can use it to classify incoming requests, rewrite or translate content, check work against brand rules, summarize progress, or suggest assignments and sequencing. Its Work Graph supplies relationships among people, tasks, deadlines and projects, giving each step more context than a standalone chatbot. Users can select OpenAI or Anthropic models for individual workflow steps, with lighter models consuming fewer credits than heavier ones. The resulting workflow is deployed where the team already works, while administrators retain control over members, billing and credit consumption. That structure is more practical for repeatable project operations than one-off prompting.

Asana AI Studio’s main limitation is cost and access: Personal users get no AI Studio, while paid domains receive account-level monthly credits, from 50,000 on Starter to 200,000 on Enterprise+, and Plus begins at $135 per account monthly when billed annually. Its workflow builder is more governed than monday.com’s shared credit pool, but monday also offers an OpenAI-compatible Models API, which Asana does not document for AI Studio. Slack AI is stronger for searching conversations, files, huddles and connected apps, while Asana is better suited to task and project workflows. ZoomMate goes further with agentic search and task completion, but its $20 per user monthly plan includes 2,200 credits and is tied to Zoom Workplace. Choose Asana AI Studio for teams already managing structured projects in Asana that need no-code automation, model choice and administrative control.

Slack AI is the AI layer inside Slack, made by Slack, which Salesforce acquired on July 21, 2021. Slack launched Slack AI on February 14, 2024, initially with AI search, channel recaps, and thread summaries. It now works across conversations, files, huddles, canvases, and Workflow Builder, adding daily recaps, file summaries, translations, AI writing assistance, workflow generation, and Slackbot. The product uses off-the-shelf models and retrieval rather than one publicly identified foundation model. Slack says customer data is not used to train large language models, and responses respect each user’s existing permissions. Slack’s pricing page lists a free plan with 90 days of history, up to 10 apps, and basic AI, while Pro starts at $8.75 per user monthly, Business+ at $18, and Enterprise+ is custom. Salesforce owns the parent company, not Slack AI as a separate acquisition.

Slack AI works inside the places teams already use: search, channels, threads, huddles, canvases, and Workflow Builder. A typical workflow starts with a natural-language question about messages or shared files, followed by an answer grounded in content the requester can access. Users can summarize a thread or channel, capture huddle transcripts and action items, review daily recaps, summarize files, translate messages, or ask Slackbot about conversations, files, and projects. Slack AI can also generate workflows from a prompt and add AI steps, such as recurring channel summaries. Its app directory lists more than 2,600 integrations, while enterprise search extends queries across connected apps and systems. Slack says outputs remain permission-scoped, so the assistant should not expose content unavailable to the requesting user.

Slack AI’s main limitation is scope: it is strongest inside Slack, where permission-scoped search, summaries, recaps, file summaries, translations, Slackbot, and Workflow Builder draw on conversations and shared files. Microsoft 365 Copilot reaches across Teams and Microsoft 365 apps, while Google Gemini for Workspace is more deeply tied to Gmail, Docs, and Meet. ChatGPT Enterprise is broader as a general assistant, rather than a communication archive with native channels and huddles. Slack says it uses off-the-shelf models, does not train them on customer data, and keeps prompts and outputs from providers, but it does not identify one exclusive foundation model. Its discontinued standalone AI add-on and tier-based feature split also complicate purchasing. Slack AI suits teams already conducting substantial, searchable work in Slack, especially those that value permission-aware retrieval over a general-purpose chatbot.