ActivTrak introduced Workflow this week, a work-intelligence product built to show enterprises where friction, repeated steps and handoffs between systems are actually consuming capacity, then recommend where AI or automation would close the gap and measure whether it did. The company is citing BCG research that found just 5% of more than 1,250 firms studied had translated AI spending into value at scale, with 60% seeing no material return despite the investment. Early Access is live now, with general availability planned for January 2027.

For a RevOps team that has spent the past year owning the sales org’s AI stack, this lands on a real gap: most teams can point to which AI tools they bought for the sales floor, dialers, coaching agents, forecasting copilots, but far fewer can show which one actually changed how work moves between CRM, enablement and the deal desk. ActivTrak’s pitch is that the data to answer that question already exists in the transitions between systems; it just hasn’t been captured at the task and role level before now. “Enterprise leaders do not lack ideas for applying AI. They lack a disciplined way to determine which opportunities deserve investment,” said Javier Aldrete, Chief Product Officer at ActivTrak.

The original angle here is not the AI feature, it is the absence of one. ActivTrak Workflow does not add another agent to the stack; it sells the audit that tells a RevOps leader whether the agents already purchased are earning their seat. As sales orgs keep splitting work between AI and human reps by channel, that measurement layer is quietly becoming its own budget line, and the leaders who fund it before the next agent purchase, not after, will be the ones who can prove the last one worked.

Source: PR Newswire