A $250 million startup is challenging Salesforce with AI agents that can now run entire sales systems

Something big is shifting inside enterprise software, and it is not just another AI feature update.

It is a full redesign of how sales work.

A new startup valued at around $250 million is positioning itself directly against Salesforce, but instead of building a better CRM dashboard, it is building something more aggressive.

AI agents that can actually run sales workflows.

The company behind it, Actively AI, is developing systems that automate large parts of what sales teams normally do manually, including lead tracking, customer follow ups, and pipeline management.

In other words, the software is not just organising sales work.

It is doing the sales work.

The company has already raised about $45 million to scale its AI sales agents, which are designed to reduce the repetitive workload traditionally handled by human sales representatives.

That shift changes what a CRM even means.

For decades, tools like Salesforce have acted as systems of record, platforms where humans input data, track deals, and manage customer relationships. But now, AI agents are turning those systems into something more active, where decisions and actions can be executed automatically based on live data.

That is why this startup is being framed as a direct challenger.

Because it is not competing on interface or features.

It is competing on whether humans are needed in the loop at all.

The bigger trend here is what is being called “agentic software,” where AI systems do not just assist users but operate independently inside business workflows. In some cases, these agents can update records, send messages, qualify leads, and adjust strategies without waiting for manual input.

That is where the tension begins.

On one hand, companies see efficiency gains. Sales teams can focus on closing deals instead of chasing data entry or repetitive follow ups. Smaller teams can potentially manage larger pipelines without scaling headcount.

On the other hand, it raises a more uncomfortable question.

If AI agents can already handle a large portion of sales operations, what exactly is the role of a sales representative in the future?

This is not theoretical anymore.

Even major enterprise players like Salesforce are already moving in the same direction, rebuilding parts of their systems around AI driven “agent” frameworks that can take action inside workflows rather than just support them.

So what we are seeing is not just a startup challenge.

It is a category shift.

CRM software is slowly turning into autonomous revenue systems, where human input becomes optional in some parts of the pipeline.

But the transition is not clean.

Enterprise environments are complex, and sales is still deeply tied to human negotiation, trust, and relationship building. AI can process data, but it does not fully understand context in the same way a human does.

That gap is where the uncertainty sits.

Because while AI agents are getting better at execution, businesses still have to decide how much autonomy is too much when real revenue is on the line.

So the real question is not whether AI can manage sales workflows.

It is how far companies are willing to let software replace the people who used to run them.