Arlo vs Lindy: AI colleague vs workflow automation

The split is simple. With Lindy you build agents and turn them loose. With Arlo you message a colleague and it acts under rules you set. Lindy's pitch is "define an outcome, configure an agent, let it run." Arlo's is "text a teammate" in iMessage, SMS, Slack, Microsoft Teams, or on a phone call. If you enjoy assembling autonomous agents, Lindy is built for you. If you'd rather not open a builder at all, keep reading.

What Lindy is

Lindy (lindy.ai) calls itself an AI agent platform for autonomous digital workers. As of June 2026, the core pieces are an Agent Builder (describe a task in plain English, it assembles an agent for you), Autopilot for clicking through tools that have no API, and team accounts with role-based sharing. People run Lindy agents for email triage, scheduling, CRM updates, and lead qualification, and one agent can hand work to another. Lindy advertises thousands of integrations and voice for inbound and outbound calls. Pricing is credit-based as of June 2026: a free tier, paid plans reported to start around $49.99/month, a higher Max tier, and custom Enterprise pricing.

What Lindy does well is configurable automation. You design the agents and the triggers, then watch them run.

What Arlo is

Arlo isn't a builder. It's a coworker you talk to, and it lives where you already work:

• iMessage and SMS
• Slack
• Microsoft Teams
• Live phone calls

It remembers what you've told it, sends a morning briefing of what changed overnight, and connects to Slack, Gmail, Notion, Linear, GitHub, and 3,000+ other tools. When something has no API, Arlo logs in once through a secure browser session and clicks, reads, and fills forms the way a person would. You never configure a workflow. You send a message and it goes.

Governance and audit

This is where the two products really diverge. With Arlo, governance is on by default. Every connection runs through a policy check before each run, and anything that sends or writes (a draft, an email, a record update) waits for a reviewer you pick. Every tool call, source, and approval lands in an audit trace you can read back later. If you need a human in the loop and a record you can defend, that's the whole reason Arlo works the way it does.

Feature comparison

Capability	Arlo	Lindy (as of June 2026)
Primary model	Conversational AI colleague you message	Workflow-automation / agent-builder platform
Where you interact	iMessage, SMS, Slack, Teams, live calls	Web app, configured agents, chat/voice channels
Setup style	Talk to it like a teammate	Build and configure agents and workflows
Tools without an API	Secure browser session (logs in, clicks, fills)	Computer-use / Autopilot
Governed approvals	Reviewer approves drafts, sends, writes by default	Role-based team accounts
Audit trace	Full trace of every call, source, approval	Varies by plan
Persistent memory + briefing	Yes, with morning briefing	Agents learn preferences
Pricing	Team usage-based; Business custom	Free + paid tiers; Enterprise custom

Which should you choose

Go with Lindy if you want to build autonomous agents that run defined processes and you don't mind configuring and maintaining them. Pick Arlo if you'd rather message one colleague across iMessage, Slack, Teams, and the phone, with every send and write gated behind an approval and logged. The conversational model tends to win over founders, realtors, and sales teams who don't want another dashboard to babysit. See AI assistant for founders, for realtors, and for sales, or read up on the AI executive assistant and browse our resources.

Weighing other options too? See our Poke alternatives and Arlo vs Poke comparisons.

On pricing, Arlo's Team plan is usage-based and the Business plan is custom, with admin policy, roles, SSO, and audit export for teams that need them.

Try Arlo

Want an AI colleague you just talk to across iMessage, Slack, Teams, and live calls, with approvals and an audit trace on everything it touches? Get started with Arlo.