We have signed a definitive agreement to acquire m3ter, a leading metering and rating platform purpose-built for consumption-based billing at enterprise scale. As AI changes how we work, billing is no longer a one size fits all solution. Enterprises need the ability to price their products dynamically—whether that’s based on actual usage, a hybrid contract, or the specific value delivered to the customer. This acquisition will bring powerful usage-tracking and pricing capabilities directly into Agentforce Revenue Management. It gives enterprises the exact flexibility they need to launch, track, scale, and bill the flexible usage and outcome-based pricing models needed for the AI era. Read more about the announcement here: https://sforce.co/4ogxhXj
GrowWise Systems | Strategic CFO | Engineering Business Operations to Maximize Profit and Growth
1mo
Metered billing is reasonable when the vendor has real variable AI costs and the customer receives measurable incremental value. But it becomes a problem when: pricing units are hard to understand; users cannot predict cost before running a task; credits expire or are hard to monitor; overages are automatic; vendors bundle AI into renewals without usage reporting.
AwsQuality
1mo
Congratulations to the Salesforce and m3ter teams on this announcement! The shift toward consumption-based and outcome-based pricing isn't a trend anymore — it's the new standard for AI-era enterprise products. The challenge has always been the infrastructure to support it reliably at scale. Integrating m3ter's metering and rating platform into Agentforce Revenue Management is a smart, strategic move that directly addresses that gap. At AwsQuality, we're excited to see how this shapes the billing and monetization capabilities available to enterprises on the Salesforce platform. Looking forward to seeing this in action! 💡
MARIEL Systems
1mo
AI is changing not only products but also operating models. Usage-based services require transparency, scalability and strong service management processes. Interesting acquisition and a clear signal for the market.
Digitalia
1mo
This is yet another logical step in the shift toward pay-per-use monetization models, especially given that AI makes value much more “variable” and difficult to package into a fixed subscription. It remains to be seen whether companies will truly be able to manage the operational complexity behind these models without sacrificing transparency… and profit margins.
Flable AI
1mo
This feels like a very important shift for the AI economy. As AI moves toward usage-based and outcome-based workflows, traditional seat-based SaaS pricing starts to break down. Billing infrastructure is becoming a strategic layer, not just a finance function. The companies that can meter, price, and align AI value delivery accurately will have a major advantage as agentic systems scale.
Aekot
1mo
This is one of the more practically significant moves Salesforce has made in a while. Most enterprises we work with are still running billing infrastructure built for per-seat models - and their products have quietly become consumption-heavy. The gap between what they're selling and what they can accurately track and bill is a real operational problem. Native metering inside Agentforce Revenue Management removes the need to stitch together external tools or build custom layers on top. The timing makes sense too - as Agentforce usage scales, outcome-based pricing becomes the natural commercial model. Excited to see how this lands for existing Revenue Cloud customers.
Not just a pricing shift, it’s a metering + CRM data alignment problem at scale. In most Salesforce orgs, keeping usage signals clean end-to-end is where complexity actually shows up.
Forms Fusion
1mo
Salesforce + m3ter = the exact infrastructure enterprises need to thrive in the AI era! Consumption-based billing has always been complex to manage at scale — this acquisition solves that beautifully. Would love to see how this integrates with existing Revenue Cloud setups. The future of flexible, outcome-based pricing just got a whole lot closer!
Talent365
1mo
Congratulations to the Salesforce and m3ter teams on the announcement. One of the biggest challenges with rapidly evolving platforms is that every new capability creates new operational dependencies. AI is accelerating that trend, making visibility, governance and measurement more important than ever. Interesting acquisition and a strong signal of where enterprise pricing models are heading.
What I find interesting is that AI is not only changing products - it's changing business models. Traditional subscription pricing worked well when usage patterns were relatively predictable. But with AI systems, one customer may consume dramatically more compute, automation, or business value than another. That makes usage-based and outcome-based pricing increasingly attractive. The challenge is no longer just building intelligent products, but creating pricing models that accurately reflect the value those products generate.