Author: Rachel Bruce

Recap: Revenue Management from Readiness to ROI


Leaders from Continuous and Atrium explore how data, intelligence, and automation are redefining the future of revenue management.

At the RevOps Roundtable: Revenue Management from Readiness to ROI, industry leaders including John Banks, Founder & CEO of Continuous, joined Stephen Burry and Micah Gerger of Atrium to unpack the evolution of Salesforce Revenue Cloud, the rise of usage-based monetization, and the central role of data in shaping the next generation of revenue operations.

Moderated in an open discussion format, the panel brought together decades of experience in quote-to-cash, CPQ, Billing, and revenue recognition to explore how organizations are re-architecting for agility, visibility, and AI-driven intelligence.

From Legacy Systems to Connected Revenue Lifecycles

The conversation began with a retrospective — tracing the evolution from SteelBrick CPQ to Salesforce’s Revenue Cloud and, now, the emergence of Agentforce Revenue Management (ARM). Each iteration, panelists agreed, represented a step toward connecting the full revenue lifecycle, from quote to billing to ledger. The shift from legacy CPQ systems to intelligent revenue management platforms marks more than a product evolution — it’s a redefinition of how organizations operationalize growth.

The panelists highlighted how architectural flexibility — through open APIs, subledger options, and embedded AI — is allowing companies to modernize without abandoning their core systems. “The architecture lets you choose the point in the process that makes sense for you,” noted Banks. “You don’t have to replace everything at once to start innovating.” Through open integration frameworks, subledger models, and AI-driven insights, enterprises can extend intelligence across existing systems without starting over. This move from static process to adaptive lifecycle signals the next era of revenue management — one defined by connection, continuity, and control.

The Convergence of CRO and CFO: Redefining RevOps

What began years ago as alignment between sales and marketing has now expanded into a full organizational mandate — uniting CROs and CFOs around a shared revenue strategy.

“RevOps isn’t just about driving pipeline anymore,” said Burry. “It’s about connecting how you sell with how you recognize revenue — and building systems that support both in real time.”

Panelists described how the next wave of RevOps maturity will depend on data continuity — bridging operational systems across the entire quote-to-cash journey. The goal isn’t just visibility, but orchestration: the ability to run revenue like an integrated engine rather than a collection of disconnected workflows.

Why Data is the New Equity in RevOps

As the discussion turned to the future, one idea became central: data has become the most valuable asset in revenue management.

“When you capture not just what’s been consumed, but what was expected to be consumed, you unlock a new layer of intelligence,” said Banks. “That delta, between forecast and reality, is where growth and customer trust take shape.”

Panelists emphasized the shift from static reports to real-time, contextualized data, and the opportunity to use it to predict churn, identify upsell moments, and even forecast outcomes.

“Data has integrity and equity,” added Burry. “If you get the integrity right, the data becomes a goldmine.”

For organizations embracing AI, data integrity isn’t optional, it’s the foundation for accuracy, automation, and continuous improvement.

AI, Agents, and the Rise of Experiential Revenue

When asked what comes next, the panel agreed: the future of RevOps will be experiential, conversational, and predictive.

AI-driven agents are enabling teams to shift from reactive forecasting to proactive engagement — not just surfacing insights, but acting on them.

“Imagine a seller or CSM having the same conversation with an AI that knows your customer’s usage trends, billing history, and renewal date — all in context,” said Gerger. “That’s where revenue management becomes intelligence management.”

Banks expanded on how AI and usage data combine to anticipate customer needs and prevent revenue leakage: “When you store estimation data alongside actuals, AI can instantly flag the gap. You can re-engage before a customer churns or before a billing surprise happens.”

From Usage to Outcomes: The Next Frontier of Monetization

As the session closed, the group reflected on a major industry shift: the movement from usage-based pricing to outcome-based monetization.

“Customers used to buy licenses,” Banks said. “Now they’re buying results. They want to pay for the outcomes they achieve, not just the inputs they consume.”

The panel discussed how companies are experimenting with pre-commit and burn-down models — similar to those used by AI and cloud providers — where customers commit to outcomes and pay as those outcomes are delivered.

“If usage tells you what’s happening,” said Burry, “outcomes tell you why it matters.”

It’s a future where every transaction, renewal, and expansion is tied to measurable impact — and where connected data makes those impacts transparent.

The Continuous Advantage

Built natively on Salesforce and NetSuite, Continuous automates the entire quote-to-cash lifecycle — from quoting and pricing to billing, revenue recognition, and usage visibility. Sales can configure any deal type directly in Salesforce, while Finance bills and reconciles automatically in NetSuite.

By embedding automation and usage intelligence inside the systems teams already use, Continuous eliminates integration friction, speeds time to revenue, and gives companies a single, trusted view of every customer.

Continuous delivers what those systems can’t — modern quote-to-cash, out of the box.

Ready to turn your revenue data into your most valuable asset? Discover how Continuous helps companies modernize quote-to-cash for the age of AI, automation, and outcome-based growth. Learn more at www.continuoustech.com or contact us

Want to see how it works?

Schedule a personalized demo today and see exactly how Continuous transforms your capabilities, enhances data consistency, and delivers immediate value.

Recap: The Signals That Power Smart Selling l Dreamforce 2025

Usage and Prepayments

Leaders from Continuous, FULLPRESS, and Dynatrace reveal how AI and connected data are reshaping Quote-to-Cash, Monetization and Customer growth.

At Dreamforce 2025, leaders from Continuous, FULLPRESS, and Dynatrace gathered to explore how AI and unified data are reshaping the quote-to-cash journey — powering smarter pricing, faster decisions, and measurable customer value. Moderated by Danielle Adams of Continuous, the discussion unpacked how organizations are moving from static subscription models to flexible, outcome-based monetization and what it takes to operationalize that change inside today’s systems.

Artificial intelligence isn’t just improving workflows and automating tasks, it’s fundamentally changing how we define value. The focus is moving from inputs, like licenses or API calls, to outcomes — the measurable benefits customers achieve, explained Banks.

Instead of “buy X seats,” it’s now “pay for Y results.” Companies are moving toward outcome-based models where pricing reflects real usage and delivered value. AI makes this possible because it allows precise measurement of engagement, case resolutions, or predictive impact — metrics that were hard to quantify before.

And with that comes flexibility — launching AI-powered capabilities as add-ons, usage credits, or pilot programs. It’s changing pricing from static tiers to dynamic, evolving frameworks that adapt as customers adopt.

Keenan Wojnicz (FULLPRESS) agreed. “We used to debate what a fair price was,” he said. “Now, fairness is in the outcome. When you tie usage directly to customer value, pricing becomes objective, not guesswork.”



Tools like Salesforce Revenue Cloud (now called Salesforce Agentforce Revenue Management) and Continuous’ AI-driven platform make that possible, connecting product telemetry to go-to-market data for a real-time view of performance. The result: smarter pricing, clearer ROI, and stronger customer relationships.

Artificial intelligence isn’t just improving workflows and automating tasks, it’s fundamentally changing how we define value. The focus is moving from inputs, like licenses or API calls, to outcomes — the measurable benefits customers achieve, explained Banks.

Instead of “buy X seats,” it’s now “pay for Y results.” Companies are moving toward outcome-based models where pricing reflects real usage and delivered value. AI makes this possible because it allows precise measurement of engagement, case resolutions, or predictive impact — metrics that were hard to quantify before.

And with that comes flexibility — launching AI-powered capabilities as add-ons, usage credits, or pilot programs. It’s changing pricing from static tiers to dynamic, evolving frameworks that adapt as customers adopt.

“Now, fairness is in the outcome. When you tie usage directly to customer value, pricing becomes objective, not guesswork.”

Connected Data: The Engine of Modern Monetization

If AI is the brain of smart selling, connected data is its bloodstream. Chitrang Patel (Dynatrace) described how his company unified usage data scattered across systems. “AI doesn’t work without unified data,” he said. “Once we connected everything, we could correlate product usage, training, and outcomes — and act on it.”



Continuous played a pivotal role, helping Dynatrace move from overnight batch processing to real-time insight. “What took six hours now happens in minutes,” Patel said. “That agility lets us make decisions and serve customers faster.”



Banks underscored the importance of incremental progress: “Start simple — daily or hourly reporting — then evolve toward real time. Once people see insights, they’ll want more.” Transparency also emerged as a differentiator. Dynatrace now shares consumption data directly with customers — a move Patel said “builds trust and drives proactive engagement.”

“What took six hours now happens in minutes. “That agility lets us make decisions and serve customers faster.”

- Chitrang Patel, Dynatrace

New Metrics for a Usage-Driven World

Traditional KPIs like ARR and MRR no longer tell the whole story. “Boards want to know how much growth comes through usage,” said Wojnicz. “Cohort analysis and on-demand revenue tracking paint a clearer picture than static bookings.”




Patel added, “Overage revenue — customers exceeding their commitments — has become a key indicator of adoption.” Banks (Continuous) explained that uniting financial and product data changes the game: “When usage, billing, and revenue recognition live in one system, finance can move from defense to offense.”



‘Traditional metrics like ARR and MRR don’t tell the whole story anymore. Companies are introducing new KPIs—on-demand revenue, overage ratios, consumption cohorts—that actually track how value is realized, not just sold.”

Flexibility and the Future of Quote-to-Consumption

As the session closed, Adams asked each panelist for one piece of advice for leaders navigating this shift.



“Define your North Star AI strategy,” said Wojnicz. “Know what data you’ll need and make sure your systems can deliver it.”



“Focus on customer experience,” said Patel. “Be transparent with usage and help customers realize value — that’s how you build trust.”



And Banks reminded attendees to “Design for flexibility. Pricing will change; your systems must evolve with it. Those who adapt fastest will lead.”



The conversation ended with a shared vision of the future as quote-to-consumption driven, with continuous data flow as the fuel for smart selling. “The entire customer lifecycle—selling, onboarding, renewal—is blending into one continuous loop of insight and action that will drive customer value and growth together.” said Banks

 “And that loop only works if data is unified. When telemetry, contracts, and finance data all live together, AI can finally operate on the full picture.” added Wojnicz.

As Adams summed up:  “When data is unified and AI is embedded across the lifecycle, every day becomes a selling day.” What happens in Salesforce flows cleanly into NetSuite, without surprises.

“When data is unified and AI is embedded across the lifecycle, every day becomes a selling day.” – Danielle Adams, Continuous

The Continuous Advantage

Salesforce and NetSuite weren’t built to handle complex quote-to-cash — especially when usage, credits, or hybrid deals enter the mix. The result: manual workarounds, disconnected tools, and teams buried in spreadsheets.

Continuous fixes that.



Built natively on Salesforce and NetSuite, Continuous automates the entire quote-to-cash lifecycle — from quoting and pricing to billing, revenue recognition, and usage visibility. Sales can configure any deal type directly in Salesforce, while finance bills and reconciles automatically in NetSuite.



By embedding automation and usage intelligence inside the systems teams already use, Continuous eliminates integration friction, speeds time to revenue, and gives companies a single, trusted view of every customer.

Continuous delivers what those systems can’t — modern quote-to-cash, out of the box.

Want to see how it works?

Schedule a personalized demo today and see exactly how Continuous transforms your capabilities, enhances data consistency, and delivers immediate value.