You're running twelve agents. Half work alone.

A small, telling number from 2026: the average company now runs about 12 AI agents, heading toward 20 by next year — and half of them work entirely alone, not coordinating with any of the others. The figure comes out of Salesforce's connectivity benchmark, and it describes a very familiar kind of mess: we added the agents much faster than we connected them.

So the typical enterprise doesn't have an AI system. It has a drawer of AI gadgets — a sales agent here, a support agent there, an ops agent in finance — each doing its own narrow task, each blind to what the others know. That's not a small inefficiency. It's where most of the promised value is quietly leaking out. Let me explain.

We bought tools and called it a strategy

The last two years rewarded adding agents. Every team could spin one up for its own task, and every vendor was shipping one inside the software you already used. So agents multiplied — one per team, per tool, per problem — and each was justified on its own.

What nobody owned was the wiring between them. Connecting agents is harder and less glamorous than launching one: it means shared context, a common way to pass work, agreement on who does what. No single team gets credit for it, so it didn't get built. The result is exactly what the number shows — twelve agents, half of them islands, each seeing a sliver of the work and none of them seeing the whole.

The value was always in the handoffs

Think about how real work actually moves. A customer issue touches support, then billing, then the account team. A deal touches marketing, sales, and finance. The value isn't in any one step — it's in the handoff, the moment context passes cleanly from one stage to the next without dropping on the floor.

A lone agent can't do a handoff; it can only finish its own piece and stop. So twelve isolated agents reproduce the worst part of a siloed org chart: every box is automated, and the seams between them are still broken. The support agent resolves your ticket and never tells the billing agent you were promised a refund. Each one is locally smart and globally useless — and the whole point of multiple agents is the coordination between them, which is the part that got skipped.

How to close the gap

You don't fix this by adding a thirteenth agent. You fix it by connecting the ones you have.

• Map a real workflow end to end first, then see which agents already touch it. The handoffs you find are the work — that's where the value is stranded.
• Give them shared context. Two agents that can't see the same state can't cooperate; the minimum bar for coordination is a common place to read and write what's going on.
• Make one agent able to call another, so a step that isn't its job becomes a handoff instead of a dead end. That single capability turns a drawer of tools into a chain.
• Resist the urge to launch more. The next agent adds another island. Connecting two existing ones adds a workflow. Count connections, not agents.

The bottom line

"Twelve agents, half working alone" is the 2026 version of an old failure: automating every box on the org chart and leaving the lines between them broken. The agents aren't the asset. The connections are — and they're the part the rush to adopt skipped right over.

Stop counting how many agents you have and start counting how many can hand work to each other. The first number is already high and means little. The second is where the value you were promised has been waiting the whole time.