Which AI workflow automation platform really fits your team in 2026?

n8n is the deepest AI toolkit in this ranking. Its AI Agent node connects a chat model to one or more tools (a database, an API, another workflow), and the agent decides which tools to call to complete the task. Around it you get conversation memory, vector stores for retrieval over your own documents (RAG), and JavaScript or Python code nodes for anything the canvas cannot express. The built-in assistant helps write and debug workflows, with 1,600 credits a month on Starter.

The decisive argument is pricing: an execution is a single run of the entire workflow, regardless of step count. An agent that chains fifteen tool calls still counts as one execution. Starter costs €20 a month billed annually for 2,500 executions, Pro €50 for 10,000. You pay the model separately, with your own key or, on Cloud Starter and Pro, with prepaid Gateway credits that need no key (not available self-hosted), and the self-hosted edition on GitHub removes the n8n bill entirely if you run your own server. Our full review scores it 4.2/5.

Make has the richest visual canvas among mainstream no-code tools: routers, iterators, error handling, and now AI agents plus an MCP server that exposes your scenarios to Claude or ChatGPT. AI modules summarize, classify, extract or draft mid-scenario, using Make's AI Provider (all plans) or, on paid plans, your own OpenAI or Anthropic connection.

AI runs on credits. Most actions use one credit, but Make warns that some advanced features using its AI Provider may use more. The free plan gives 1,000 credits a month, and Core starts at $9 a month billed annually for 10,000 credits. On a paid plan, a custom AI connection costs one credit per operation and you pay tokens directly to your provider, which makes the bill easy to forecast. Our full review scores it 4.1/5.

Zapier put AI everywhere. Copilot builds a Zap from a sentence, even on the Free plan. AI steps summarize or classify inside a Zap, AI fields come with Professional, and Zapier MCP lets an assistant like Claude or ChatGPT act across your apps. Agents and Chatbots are separate products: Agents has a free plan (400 activities a month), then Agents Pro at $33.33 a month billed annually.

The catch is in the metering: AI steps, code and MCP draw from the same task allocation as your Zaps, and Zapier warns that the AI model tier changes how many tasks an action uses. The Free plan is limited to two-step Zaps. Professional costs $19.99 a month billed annually, or $29.99 month to month. At high volume the bill climbs quickly, a frequent complaint in 2026 reviews: one reviewer reports burning through a monthly task allowance in under 48 hours. One more thing to watch: Zapier is moving Agents to AI by Zapier, so check the offer when you subscribe. Our full review scores it 3.8/5.

Power Automate is Microsoft's automation platform. Copilot builds a flow from a description, and AI Builder adds AI steps: prompts, invoice and document extraction, classification. Premium also covers RPA, the desktop robots that click through legacy software for you.

Premium costs $15.00 per user per month paid yearly, Process $150.00 per bot per month. Watch the licensing shift: each Premium license used to include 5,000 AI Builder credits, Microsoft stopped seeding them in 2026 (credits already granted are honored through the end of the contract term), and new customers now buy Copilot Credits instead. Check with your admin what your AI flows consume now.

Gumloop calls itself the multiplayer AI agent builder: a team builds agents everyone can run, with cost and performance tracking. It connects to Slack, Gmail, Salesforce, HubSpot, Notion and Google Sheets, exposes an MCP server and lets you bring your own model API keys.

Pro starts at $37 a month with 20,000 credits, after a 14-day trial. Credits go fast on enrichment steps and large models, so run one real task during the trial before committing. With your own key, model tokens stop costing credits, but Gumloop's orchestration fee rises from 8% to 16% of the task cost: the saving is real, just smaller than it looks.

Activepieces is open source: flows, AI agents, tables and MCP servers, with an interface close to Zapier's. The core can run on your own servers; paid tiers add access control, audit and support.

The free plan gives 1,000 credits a month, Plus costs $20 a month for ten times that, Team $200. Beyond the allowance, credits cost $0.007 each, and a flow run counts one credit however many steps it has. An AI step adds 2 credits on a fast model, 10 on a smart one and 20 on a frontier model, or just 1 with your own key from Plus up. Its catalog is shorter than the leaders', so check your apps before migrating.

Lindy is less a workflow platform than an autonomous AI assistant: you hand it a task in plain English, in Slack or by email, and its agents act in your inbox, calendar and tools. Lindy states SOC 2 and GDPR compliance, with HIPAA on Enterprise.

You start with $50 in free credits that last 7 days. After that, every active user is billed from $29.99 a month for 3,000 credits, pooled across the workspace; top-ups cost $10 per 1,000 credits. Everyday asks use 2 to 250 credits, big builds up to 2,500, and credit burn keeps coming up in 2026 reviews. Our full review scores it 3.4/5.