It started simply: buy an agent, ship another. Give every team one agent and then give every task an agent. The logic felt airtight: more automation, more output, more wins.

SaaS did the same thing to go-to-market a decade ago. A tool for every function, a dashboard for every leader, and a slow accumulation of noise that everyone eventually stopped trusting.

Agents are following the same arc, just faster.

The teams adding them without a coherent system are moving in more directions at once, with less shared signal, and no single source of truth about what's actually working.

Gartner projects the average Fortune 500 company will run more than 150,000 AI agents by 2028. In 2025, that number was fewer than 15.

That is a ten-thousand-fold increase in three years. These agents won't sit in dashboards waiting to be reviewed. They will move budget, re-prioritise accounts, and re-score pipeline faster than any operator can follow, across every function at once.

Salesforce's own benchmark found that half of the agents companies already run operate in silos rather than as a coordinated system. The result:

I've seen this before. In the SaaS era, we handed every GTM team its own tool and its own definition of winning. The teams optimised their own scoreboards. The company optimised nothing.

Agents are running the same play, but the speed changes everything. A marketing agent moves budget. A sales agent reprioritizes accounts. A RevOps agent rescores the funnel. None of them knows what the others just did. They hit the same accounts from different assumptions, in the same hour, with no shared logic between them. You basically ran the coordination problem at the machine speed.

Adding more agents to a fragmented stack doesn't give you a team. It gives you a crowd.

The problem is not the agents. It is what the agents cannot see.

Every agent operates on the context available to it. Point a hundred capable agents at a stack where the CRM, the ad platform, the product data, and the sales engagement system each hold a different fragment of the same customer, and you do not get intelligence. You get a hundred confident, well-reasoned, contradictory answers to the same question. Capability without shared context is disagreement at scale.

Most companies are still betting on the wrong variable. Because models are converging and agents are getting cheaper to build every year. The thing that does not commoditise is the shared context underneath all of them. That is what actually decides whether your GTM gets smarter or just louder.

Everyone is buying the actors. Almost nobody is building the stage.

When we started RevSure, the problem was narrow and specific: tell a marketing leader which touches actually drove pipeline, and which ones just looked busy. That is a hard enough problem on its own.

But you cannot answer it from the outside. To say honestly what moved a deal, you have to sit in the path of the data. You have to reconcile it, account by account, across every system in the go-to-market stack that was never designed to agree. For our enterprise customers, that meant integrating anywhere from twenty to seventy-five GTM tools and capturing billions of interactions across sales, marketing, and customer success.

We did that for last four years because attribution demanded it. And then one day I looked at what we had actually built, and it was not a measurement product. It was a living, identity-resolved picture of how a company goes to market: who every lead and account really was across every system, which touch points moved outcomes, where deals stalled, how work traveled from one team to the next.

We had built the context layer.

That realisation changed what we decided to build next. That is what we launched this week.

The difference between a crowd of agents and a team of agents is shared context. We have spent four years building it. Here is what that actually looks like in practice.

Before we go further, two things that deserve a straight answer.

Attribution work is not going anywhere. It's the foundation everything else stands on, and we're doubling down on it. Everything you rely on today keeps working exactly as it does. What's new is what sits on top of it.

You stay in control. Every move an agent makes runs under Safe Autonomy. The action is proposed with its reasoning, approved through risk gates you set, committed into your live systems, and reversible in one click with a full audit log.

I believe that context layer will be one of the defining moats in enterprise software this decade. We didn't set out to build it. Attribution led us straight into it, and now we're making it available to your entire go-to-market team.

We spent four years earning the right to say what happened in your funnel. Now we're giving your agents one source of truth they can act on, and the ability to undo any move they disagree with.

Welcome to the new RevSure.

We're just getting started.

Know a GTM leader wrestling with agent sprawl right now? Reply and tell me.