Data Silos: Does an AI Layer Actually Fix Them?

Google announced Connected Apps on September 23, letting Gemini reach into Airtable, monday.com, Zoho, PandaDoc and a dozen other services from inside a conversation. The pitch is the data silo pitch, made for thirty years: stop switching between tools, ask one place, get the answer. It is a real improvement and it addresses one of the three things people mean by a silo.

Three things called a silo

Separated storage is the one the technology genuinely addresses. Nobody has to open four tabs and copy numbers into a fifth. That is real time back, and it is why these integrations are worth using.

Incompatible definitions is the expensive one. Your CRM counts a customer from first contact, your accounting package counts one from first invoice, and your project tracker counts one per site rather than per company. Ask an assistant how many customers you have and it will give you a confident number assembled from three incompatible definitions, which is worse than three separate numbers because the disagreement is now hidden inside a single answer.

Different owners is not a data problem at all. Somebody is not sharing because of workload, territory or a previous argument, and a connector does not change that. Occasionally it makes things worse, because now the information can be reached without the conversation that would have surfaced why it was held back.

A two-minute diagnostic

Ask two people in different parts of the business the same factual question, separately. How many active customers do we have. What did we invoice last month. How many jobs are open right now.

If they agree, but one of them had to go and look it up, you have a storage problem. Connect the apps and you will feel the benefit within a week.

If they give different numbers and both are confident, you have a definitional problem. Connecting the apps will produce a fourth number and a false sense that it is authoritative. Fix the definition first, on paper, in a conversation between the two people who disagreed.

Assistant layer or real integration

An assistant layer reads from several systems when you ask and produces an answer. Real integration writes data between systems so they stay consistent whether or not anyone is asking.

The first is fast, cheap and reversible. You can connect Airtable to an assistant this afternoon and disconnect it tomorrow with nothing lost. The second is a project with a timeline, a cost and a maintenance burden that never ends.

For most small businesses the honest sequence is to try the assistant layer first, live with it for a quarter, and pay for real integration only where an inconsistency would cost actual money. A wrong customer count in a monthly review is annoying. A wrong stock level that causes you to sell something you do not have is a different category, and that one deserves the project.

The underlying data quality question does not go away either way, which we set out in data quality as the AI bottleneck. An assistant reading four systems with inconsistent records produces a fluent summary of inconsistent records.

What connecting everything does to your access model

Two consequences worth deciding on before the connections happen rather than after.

Concentration. Once one assistant session holds authenticated reach into your CRM, your accounting package and your project tracker, anything that compromises that session reaches all three. That is the same problem we described in agents holding your credentials, arriving through a friendlier door.

Nobody approves it. A staff member can usually connect a company system to their personal assistant account in about twenty seconds, with no request and no record. Zoho, PandaDoc and Airtable frequently hold customer data, so that is a data governance event nobody logged, of the kind covered in a one-page AI governance framework.

Decide which systems may be connected, by whom, and on which account. That is a ten-minute conversation now and an awkward audit later.

Where to start

Run the two-minute diagnostic. If the answer is storage, connect two systems that people currently copy between and measure whether the copying stops.

If the answer is definitions, get the two people who disagreed into a room and write down which system is authoritative for which fact. One page. That document is worth more than any connector, and it is the thing that makes the connectors useful when you do get to them. The related problem of too many tools in the first place is in AI tool sprawl.

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