Stop Building More Automations

So I was looking at a client's automation setup last week. They'd been building for about two years. 14 Zaps, 6 Make scenarios, a couple custom scripts someone wrote before they left, and a Google Sheet that was somehow the glue holding half of it together. Every single automation did exactly what it was supposed to do. And the whole thing was still broken.

Not broken like "errors everywhere" broken. Broken like, the Zap that creates a deal in the CRM has no idea that the Make scenario already sent a welcome email. The inventory sync runs on a 15-minute delay, so the order confirmation automation sometimes promises stuff that's already sold out. Their QuickBooks integration works great, but it doesn't know about the custom pricing logic that lives in a different Zap. So invoices go out wrong, someone catches it manually, fixes it manually, and nobody thinks to ask why the automation isn't actually automating.

This is what automation silos look like in practice. Not a lack of automation. Too much of it, with none of it talking to each other.

More Automations, More Problems

Here's the pattern I keep seeing. A business hits a pain point. Manual data entry is eating up hours. So they set up a Zap. Works great. Then another pain point, another Zap. Then someone discovers Make and builds a few scenarios there because it handles branching logic better. Then a developer writes a script for the weird edge case that neither tool covers. Each one solves its specific problem. Each one is completely blind to everything else.

The average small business runs about 42 apps. And only half of them get used regularly. That's not a connection problem, right? That's an intelligence problem. You can connect all 42 apps with point-to-point automations and still have zero visibility into how your business actually operates as a whole.

And it gets expensive. 69% of companies say they lack the data needed to optimize workloads because it's trapped in silos. Gartner found that 30% of SaaS spend is completely wasted. Forrester says 82% of companies find cross-department data sharing "challenging." That's a polite way of saying it doesn't happen.

So what do people do? They build another automation to try to bridge the gap. Which creates another silo. I've watched this cycle play out dozens of times.

The Zapier Problem (That Isn't Zapier's Fault)

I want to be clear about something. Zapier is good at what it does. Make is good at what it does. They're excellent point-to-point tools. You need data to move from A to B, they'll move it reliably.

But that's the scope of what they solve. A to B. Maybe A to B to C if you get fancy with it. Nobody's solving the whole picture. Nobody's asking "what does your entire operation look like right now, across every tool, every workflow, every team?"

That client I mentioned? They didn't need more automations. They needed something that could see across all of them. Something that understood that when a deal closes in the CRM, it connects to the project kickoff workflow, which connects to the resource allocation, which connects to the invoicing, which connects to the revenue reporting. Not as 5 separate automations that each handle one hop. As one connected understanding of how the business works.

That's the difference between automation and intelligence. Automation moves data. Intelligence understands context.

Companies with strong data integration see a 10.3x return on their AI investments, compared to 3.7x for companies without it. That gap isn't because of better automations. It's because of better visibility. When your systems understand each other, everything compounds. When they don't, you're just paying for tools that operate in the dark.

What Actually Fixes This

So what does it look like when you stop adding automations and start adding intelligence?

It looks like an orchestration layer. Something that sits on top of your existing tools (all of them, not just the ones you've bothered to connect) and actually understands what's happening across your operation. Not moving data from point to point. Understanding the full picture.

That's what we built Liaison to be. You keep your CRM. You keep your accounting software. You keep Zapier and Make if they're working for you. Liaison doesn't replace any of it. It sits underneath as the intelligence layer that makes all of it aware of everything else.

So instead of 14 Zaps that each know about two tools, you have unified intelligence across your entire stack. When a deal closes, Liaison doesn't just trigger the next step. It knows what resources are available, what the margin looks like on this deal based on your current costs, whether the client has any open support tickets that should be resolved first, and what similar projects have looked like historically. One layer of understanding across everything.

The ROI conversation changes completely when you think about it this way. You're not calculating the value of one automation. You're calculating the value of your entire operation actually being visible and coordinated.

That client? We mapped their automation stack in about 30 minutes. Found 4 Zaps that were basically duplicating each other because different people built them at different times. Found 2 Make scenarios that were fighting over the same data. Found the Google Sheet that was a single point of failure for half their order process. Not by auditing each automation individually, but by looking at the whole thing as one connected system.

That's what I mean when I say stop building more automations. The problem was never that you needed more connections. The problem is that nothing was orchestrating the connections you already have.

If you want to see this in practice, show us your automation stack. Bring the Zaps, the Make scenarios, the custom scripts, the Google Sheet that's holding everything together. We'll show you the gaps that no amount of new automations will fix.