Dialogo vs Make
TL;DR
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.
At a glance
Dialogo
DialogoWhere each wins
Where Dialogo wins
- No visual builder required: describe the goal, agents plan the execution
- Reasoning engine handles scenarios you didn't predict when setting it up
- Cross-tool memory means agents improve with context over time
- Outcome billing: you pay for completed work, not for operations attempted
- Non-technical ops teams can build and modify workflows without a developer
Where Make wins
- Extremely powerful visual builder for complex data transformations
- Very cost-effective for high-volume, stable automations
- Excellent data manipulation and mapping tools
- Large integration library with deep API access
- Strong community and template library
Pricing comparison
Dialogo
Free to start. Starter €79/mo, Team €199/mo, Enterprise custom. €0.30 per completed workflow: regardless of how many steps it takes to execute.
Make
Free (1,000 ops/mo), Core $9/mo (10,000 ops), Pro $16/mo (10,000 ops + advanced features), Teams $29/mo per user. Charged per operation: a 5-step workflow costs 5 operations.
Pricing insight: Make's operation-based billing means a complex 10-step workflow costs 10x more per run than a 1-step one. Dialogo charges per completed outcome: a 10-step workflow that delivers a result costs the same as a simpler one.
Who each is best for
Choose Dialogo if…
- Teams who want to describe workflows in plain language instead of building them
- Ops teams where workflows change frequently and need to adapt without rebuilding
- Companies frustrated with maintaining complex scenario diagrams
- Teams where non-technical staff need to modify or create automations
Choose Make if…
- Technical teams who want granular control over every step of a data pipeline
- High-volume, stable automations where per-operation cost is predictable
- Complex data transformation workflows where visual mapping is valuable
- Teams already invested in Make's template ecosystem
What Make users say
Common feedback from G2, Capterra, and Reddit
"The visual builder gets unmanageable once workflows get complex"
"Operations pricing makes costs unpredictable for multi-step flows"
"Requires someone technical to build anything beyond basic scenarios"
"No way to handle anything that needs even basic decision-making"
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.
Open-source workflow automation
Dialogo vs n8n
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.
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 Make?
Describe your first workflow in plain language. Dialogo plans it, executes it, and delivers the result.