Dialogo vs Lindy
TL;DR
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.
At a glance
Dialogo
DialogoWhere each wins
Where Dialogo wins
- Designed for teams: workflows span multiple people, tools, and departments
- Orchestrates complex multi-step processes across your entire business stack
- Enterprise-grade access controls: SSO, RBAC, audit logs, and approval gates
- Outcome-based billing aligned to business value, not individual seats
- Persistent cross-stack memory that grows with your operational context
Where Lindy wins
- Extremely intuitive: genuinely feels like having an AI assistant
- Fast to set up for individual tasks without any training
- Good for personal email management, scheduling, and reminders
- Affordable per-seat pricing for individual contributors
- Strong for knowledge workers who need a personal productivity layer
Pricing comparison
Dialogo
Free to start. Starter €79/mo, Team €199/mo, Enterprise custom. €0.30 per completed task: shared across your team, not per seat.
Lindy
Free (limited tasks), Pro $29.99/mo per user. Priced for individual contributors. Team plans scale per seat.
Pricing insight: Lindy's per-seat model means a 10-person ops team pays $300/mo: regardless of how many tasks get completed. Dialogo charges per outcome, so a team that automates 1,000 tasks/month pays €300 whether it's 1 person or 20 using it.
Who each is best for
Choose Dialogo if…
- Ops, sales, and support teams running shared multi-step workflows
- Companies that need team-wide automation with proper access controls
- Organizations running high-volume workflows that justify per-task pricing
- Teams where multiple people need to trigger, review, and act on automated work
Choose Lindy if…
- Individual contributors who want a personal AI productivity layer
- Knowledge workers managing personal email, calendar, and task flows
- Small teams where one person handles most automation needs
- Individuals who want the feel of a personal assistant, not a workflow builder
What Lindy users say
Common feedback from G2, Capterra, and Reddit
"It's great for my own tasks but doesn't scale to our whole team's workflows"
"No real enterprise controls: we can't audit who's doing what"
"Memory is lost between sessions: context doesn't build over time"
"Can't coordinate tasks across multiple people or departments"
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.
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.
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 Lindy?
Describe your first workflow in plain language. Dialogo plans it, executes it, and delivers the result.