monday.com AI vs Slack AI: pricing, features and which to choose

monday.com AI is the AI layer inside monday.com, a work-management platform made by monday.com Ltd., founded in 2012 and listed on NASDAQ as MNDY. Its first AI Assistant announcement came in April 2023, with a beta planned for May, and the company described the product as an open platform for third-party AI applications. monday.com now reports more than 250,000 customers and about 3,200 employees. The product is aimed at teams that want AI alongside boards, workflows, CRM, development, or service work, rather than a standalone chatbot. Its current catalog includes AI blocks, Sidekick, AI Workflows, AI Notetaker, monday agents, and monday vibe. The platform also offers a Models API with OpenAI-compatible endpoints, provider routing, fallbacks, budgets, and spend tracking, while using models from Anthropic, OpenAI, Google, and Sentence Transformers.

monday.com AI combines work management with AI tools that act on boards, workflows and related business data. A typical workflow starts with a natural-language request: AI can generate tasks, draft or rephrase CRM emails, summarize text, build formulas, or run an agent against a configured process. Sidekick handles roughly 10 to 150 credits per message depending on complexity, while AI Notetaker uses 120 credits per meeting hour. Teams can also create AI workflows, specialized agents, custom apps through monday vibe, and monitor consumption through AI governance, with alerts at 80% and 100%. The platform’s Models API adds OpenAI-compatible chat, embeddings, image and audio endpoints, plus model fallbacks, spend tracking and budgets. It draws from Anthropic, OpenAI, Google and Sentence Transformers, while monday.com says customer inputs and outputs are not used for model training.

monday.com AI is less a standalone assistant than an AI layer inside monday.com’s broader work operating system, and that breadth is its main advantage and constraint. Unlike Asana AI Studio, which offers explicit Basic, Plus, and Pro credit tiers and lets users choose named partner models such as Claude Sonnet 4.5 and GPT-5.2, monday.com uses shared credit buckets across its AI work platform and does not permit customer-supplied models or API keys. Slack AI is stronger for conversation search, recaps, and Slackbot inside team communications, while monday.com reaches further into boards, workflows, CRM, development, and service work. Costs also rise quickly: paid plans start at $9 per seat monthly when billed annually, while AI credits begin at 1,000 for $10, and AI is unavailable to free accounts. Teams wanting configurable work management with integrated automation should pick monday.com AI.

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.