Dialogo vs n8n
TL;DR
n8n is the right choice if you have developers who want full control and are willing to manage infrastructure. Dialogo is for ops teams who want AI-powered automation without engineering overhead.
At a glance
Dialogo
DialogoWhere each wins
Where Dialogo wins
- Zero infrastructure: fully managed, no servers to maintain or monitor
- Native AI reasoning layer: not just LLM nodes bolted onto a workflow builder
- Non-technical ops teams can build and run workflows without engineering support
- Outcome-based billing: you pay for completed work, not for infrastructure uptime
- Built-in cross-tool memory without custom database configuration
Where n8n wins
- Free to self-host: zero software cost for technical teams
- Unlimited customization: full code access with JavaScript/Python nodes
- Strong data privacy: data stays on your own infrastructure
- Large and growing open-source community
- Excellent for developers who want to build complex custom workflows
Pricing comparison
Dialogo
Free to start. Starter €79/mo, Team €199/mo, Enterprise custom. €0.30 per completed task: fully managed, no infrastructure cost.
n8n
Free for self-hosted (you pay for server costs). Cloud: Starter $20/mo (2,500 executions), Pro $50/mo (10,000 executions), Enterprise custom. Plus ongoing engineering time to maintain.
Pricing insight: n8n's "free" tier has a hidden cost: engineering time. Setting up, maintaining, and debugging a self-hosted n8n instance typically costs 5–10 hours/month of developer time. At $100/hr, that's $500–$1,000/mo in engineering overhead before the first workflow runs.
Who each is best for
Choose Dialogo if…
- Ops teams who need automation without depending on engineering for every change
- Companies where workflows change frequently and business users need to modify them
- Teams that want AI reasoning built in, not bolted on
- Organizations where managed infrastructure and SLAs matter
Choose n8n if…
- Engineering teams who want full code control and unlimited customization
- Companies with strict data residency requirements (self-hosted only)
- Developers building highly custom integrations not supported elsewhere
- Teams with strong DevOps capacity and low engineering cost
What n8n users say
Common feedback from G2, Capterra, and Reddit
"Requires a developer to set up and maintain: business teams can't touch it"
"The AI features feel bolted on, not native to the platform"
"Self-hosting means we spend more time on infrastructure than automation"
"Documentation gaps make it hard to debug complex workflows"
See Dialogo in action
Connect your tools, describe your first workflow, and see autonomous execution in under 10 minutes.
Common questions
Explore use cases
83%
AI Sales Automation
Dialogo AI agents enrich leads, update your CRM, and draft follow-ups autonomously: across HubSpot, Salesforce, LinkedIn, and Gmail: so your team focuses on conversations that close.
65%
Autonomous Customer Support
Dialogo AI agents read ticket context, search your knowledge base, resolve Tier-1 issues, and route the rest to the right human: integrated with Zendesk, Intercom, and your existing stack.
80%
AI Project Management Automation
Dialogo AI agents compile status reports, sync task updates across your tools, surface blockers, and keep stakeholders informed: automatically, across Linear, Jira, Slack, and Notion.
More comparisons
Rule-based automation
Dialogo vs Zapier
Zapier automates the workflows you manually program. Dialogo executes goals you describe in plain language: handling multi-step reasoning, ambiguity, and cross-tool memory that Zapier can't.
Visual workflow automation
Dialogo vs Make
Make is a powerful visual workflow builder for teams who want complete control over automation logic. Dialogo is for teams who want to describe an outcome and let AI agents figure out the execution.
No-code AI agent builder
Dialogo vs Relevance AI
Relevance AI lets you build individual AI agents for specific tasks. Dialogo orchestrates multiple agents together across your entire tool stack: with memory, deterministic execution, and outcome-based billing.
AI personal assistant
Dialogo vs Lindy
Lindy helps individuals automate personal tasks with an AI assistant. Dialogo is built for operations teams: coordinating multi-agent workflows across your company's entire tool stack with enterprise-grade controls.
Browser automation
Dialogo vs Bardeen
Bardeen is an AI-powered browser automation tool for individual workflows. Dialogo runs autonomously in the background: no browser required: orchestrating agents across your entire ops stack.
Microsoft ecosystem automation
Dialogo vs Microsoft Power Automate
Microsoft Power Automate is powerful within the Microsoft 365 ecosystem but requires IT to set up and maintain. Dialogo works across any stack, is deployable by ops teams without IT involvement, and charges per completed outcome.
Enterprise integration platform (iPaaS)
Dialogo vs Workato
Workato is enterprise-grade iPaaS that delivers powerful integrations but requires implementation consultants and ongoing IT support. Dialogo delivers AI-powered automation that ops teams deploy and manage without engineering.
Open-source no-code automation
Dialogo vs Activepieces
Activepieces is a solid open-source automation tool for teams that want Zapier-style flows without the cost. Dialogo adds AI reasoning, persistent memory, and outcome-based billing for workflows that require more than rules.
Robotic Process Automation (RPA)
Dialogo vs Automation Anywhere
Automation Anywhere is a leading RPA platform for automating UI-based and legacy system tasks through bots. Dialogo uses AI agents: no bots, no UI scraping: for modern SaaS stacks, deployable by ops teams without IT.
Ready to move beyond n8n?
Describe your first workflow in plain language. Dialogo plans it, executes it, and delivers the result.