When Relay.app launched in 2023, it didn’t just enter the automation space—it crashed it. The platform promised something most workflow tools only teased: you could build complex automations by typing plain English. No dragging boxes, no learning curve. Just describe what you wanted, and Relay.app AI would figure out the rest. For a while, it felt like the future had finally arrived.
Then, in early 2025, it vanished. The startup announced it was shutting down, and its team packed their bags for Google’s Chrome division. Users were left with a suspended service, a sinking feeling, and a big question: what went wrong? And more importantly, what do we do now?
What Made Relay.app Stand Out in the Automation Crowd
Before the shutdown, Relay.app had earned a loyal following. Its core pitch wasn’t original—automation platforms like Zapier and Make had been around for years. But Relay.app’s execution felt different. It combined generative AI with a streamlined user interface in a way that made automation feel conversational rather than technical.
Natural Language Workflow Building
Instead of defining triggers and actions through dropdown menus, Relay.app let you write something like, “When a new customer pays an invoice, send them a welcome email and create a Slack message in the sales channel.” The platform parsed your intent and assembled the workflow itself. Non-technical users—marketing managers, ops leads, small-business owners—finally had a seat at the automation table.
Human-in-the-Loop Approvals
Another standout feature was how Relay.app handled approval steps. Many AI automation tools go full-auto, which makes people nervous. Relay.app let you insert manual checkpoints into any workflow. A message would pop up in Slack or email: “Budget approval needed for this expense. Approve or reject?” You could even respond with natural language, like “Approve but flag it for finance.” It was a sensible middle ground between hands-off automation and micromanaging every step.
Deep Integrations Out of the Box
Relay.app shipped with more than 80 paid integrations from day one, including Google Sheets, Salesforce, HubSpot, Stripe, and Notion. But unlike older tools that simply passed data between apps, Relay.app’s AI layer could transform that data on the fly. It would summarize a long email thread before creating a CRM record, or translate a customer message before generating a support ticket. That kind of contextual processing was rare at the time.
The Shutdown: Why Relay.app AI Disappeared So Quickly
On the surface, Relay.app had momentum. It had raised a $3.5 million seed round, built a community of enthusiastic users, and was gaining traction in the productivity world. But in February 2025, the founders announced they were shutting down. The reason wasn’t money or a lack of users—it was an acquisition. Google had quietly hired the entire team to work on Chrome, a move that effectively killed the product overnight.
The news hit the automation community hard. As reported in our coverage of Relay’s shutdown and the staff move to Google, the company gave users less than a month’s notice. Workflows stopped running, and for many small businesses, that meant manual catch-up, missed follow-ups, and a scramble to migrate. It was a sharp reminder that when you rely on a startup, you’re also betting on its longevity.
What Relay.app’s Shutdown Means for AI-Powered Automation
Relay.app’s sudden exit isn’t just a story about one startup. It’s a signal about how the broader automation industry is evolving. For one, it shows that big tech is willing to absorb talent rather than build from scratch. Google didn’t acquire Relay.app’s technology—it wanted the people. That’s a growing trend: established giants hoovering up AI teams to strengthen their own products.
For users, it highlights a real risk. AI-powered automation tools are often young companies competing hard for market share. They offer generous free tiers, throw out impressive demos, and gain trust quickly. But that trust can vanish overnight if a buyout or shutdown happens. Our analysis of what Relay.app’s shutdown means for AI-powered automation digs into the wider consequences, especially for businesses that build their processes around a single platform. The takeaway? Embrace the tools, but don’t let them become single points of failure.
Where to Go Now: Alternatives for AI-Powered Automation
If you were a Relay.app user, you have better options than you might think. The market hasn’t pivoted away from AI automation—it’s doubled down. Here are a few solid routes, depending on what you need.
n8n AI Agents for Full Control
For teams that want flexibility without paying enterprise prices, n8n has become a favorite. It’s open-source, self-hostable, and its new AI agents feature lets you build intricate workflows that actually reason about your data. Unlike Relay.app, which used natural language as the front-end, n8n gives you both a visual workflow editor and the ability to inject AI at any step. You can ask an AI agent to classify an email, extract a date from a document, or generate a summary before the workflow continues.
If you’re making the jump from Relay.app, I’d suggest starting with our guide to building smarter n8n AI automation workflows. It walks through concrete examples, like routing support tickets and automating report generation. The learning curve is a bit steeper than Relay.app, but the ceiling is much higher.
Zapier and Make for Plug-and-Play
If you just need to get work done quickly and don’t want to host anything, Zapier and Make remain reliable workhorses. Zapier has added AI-powered steps that can draft email replies or reformat data, and Make’s visual canvas is closer to Relay.app’s drag-and-drop feel. Both have large integration libraries and proven uptime. They’re not as glamorous as Relay.app was, but they’re here to stay.
Custom OpenAI Pipelines for Power Users
For developers and technical founders, another route is skipping the middleware entirely. Use OpenAI’s API to build a small orchestrator that calls your apps’ APIs directly. It’s more work upfront, but you own the entire stack. You can switch providers, add new tools, and never worry about a startup shutting off the tap. This approach gives you total flexibility and no vendor lock-in.
Lessons from Relay.app’s Brief Run
Relay.app’s story is equal parts inspiring and cautionary. It proved that natural language is a viable interface for automation, and that users crave tools that meet them where they are. But it also demonstrated how fragile a startup can be. The team didn’t fail—they succeeded enough to get acquired. That success just didn’t translate into a lasting product for its users.
If there’s a takeaway for anyone building with AI tools, it’s to keep your workflows portable. Document your processes. Choose platforms that let you export your data and logic easily. Pay attention to company health, not just product features. And remember that no tool is permanent. The best automation strategy is the one that can survive the disappearance of any single vendor.
Relay.app may be gone, but the ideas it championed—conversational automation, human approval checkpoints, and smart integrations—are now table stakes in the industry. The next generation of tools is already building on those concepts, and this time, they might stick around longer.