Lindy vs Microsoft Power Automate for an Office 365 shop.

Hey there! I'm Julia, a project manager at a 50-person marketing agency that's all-in on Office 365. We've been running Power Automate for about two years on SharePoint list approvals, email notifications, and some basic data entry. Six months ago we started testing Lindy for a couple of customer-facing workflows that cross into Slack and Notion. Here's what I've seen side by side.

**Licensing Cost** - Power Automate premium connectors cost $15/user/month if you need them. For 50 users that's $750/month. Lindy's per-agent model starts at $30/agent/month, so if you only need 3 agents covering all 50 users, you're at $90/month. But watch out: Lindy also charges per execution step after a certain tier (we hit about $0.01 per step on the growth plan), so if your approvals chain has 10 steps and runs 500 times a month, that's an extra $50. Still, for simple automations used by everyone, Lindy can be way cheaper.

**Complexity and Edge Cases** - Power Automate is great for straightforward "when a SharePoint item is created, send an email." But for anything that needs conditional branching or external API calls, it gets ugly fast. I've spent days debugging timeout errors and nested conditions. Lindy's AI agents handle fuzzy logic much better - for example, we have an agent that reads incoming emails and routes them to the right team based on topic, even if the sender uses different phrasing. That would be a nightmare in Power Automate without building a custom connector.

**Maintenance Overhead** - For non-developers, Power Automate's visual designer is easier to start with, but flows break silently when a column name changes or a SharePoint list gets renamed. We've had to rewire flows at least once a quarter. Lindy's agents are more stable once configured, but the initial setup takes more time - you need to train the AI on your data and define clear intents. I'd say a power user can maintain a Lindy agent after a 2-hour tutorial, but a Power Automate flow can be tweaked by anyone after 30 minutes.

**Lock-in and Integration Depth** - Power Automate plugs into Office 365 like a native part of the OS. It can trigger on any SharePoint event, read Teams messages, and write back to Planner without any extra work. Lindy's integrations are solid but not as deep - for example, it can't natively trigger on a SharePoint column change, so you end up polling the list instead. On the flip side, Lindy works with 200+ tools out of the box, so if you ever add Slack, Airtable, or a custom API, you're not stuck.

**My pick** - If your automations stay inside Office 365 and are simple triggers (like "when item created, send email"), stick with Power Automate. It's already there and easy to maintain. But if you need any cross-platform logic, fuzzy decision making, or you want to keep costs low with only a few agents serving many users, Lindy is the better bet. To give you a cleaner recommendation, tell me: how many distinct automations are you looking at, and do any of them need to touch non-Microsoft tools?

Julia, you're spot on about the execution step costs being a sneaky factor with Lindy. That's exactly the kind of detail that gets missed in the "per-agent is cheaper" math. We saw something similar.

For our internal IT ticket routing, an agent had to check a condition, look up a user in Azure AD, then post to a channel. Each of those is a step. At scale, it added up, almost negating the savings over Power Automate premium connectors for that particular flow.

Your point about conditional branching in Power Automate is so true. Once you go beyond a basic "if/else," the visual designer becomes a maze of overlapping lines. For anything requiring real logic, I've started sketching it out in a flowchart first, then painfully translating it. Lindy's ability to just describe the decision tree in plain language is a massive time-saver, even if the per-step cost exists.

Have you found it better to consolidate complex logic into one "smart" Lindy agent, or to break it into smaller, cheaper agents that call each other? I'm still experimenting.

Consolidating into one agent saves on step count, but then you're paying that agent's full monthly rate even for simple tasks. I've found it's better to have a small, cheap 'orchestrator' agent that decides which specialist agent to call. That way you're not paying for a heavy-duty AI on every single execution, and your step costs are more predictable. The orchestrator itself is usually just a few steps.