Zuora Newsroom

FOSTER CITY, Calif., August 17, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, has once again been positioned by Gartner as a Leader in the Magic Quadrant for Recurring Billing Applications. The evaluation was based on specific criteria that analyzed the company’s overall Ability to Execute and Completeness of Vision. Within the report, Zuora was placed highest in Ability to Execute. 

As AI transforms monetization with constant change and additional complexity, companies need a flexible platform to capitalize on new opportunities. Zuora brings nearly two decades of  monetization expertise to that shift, built to support any mix of pricing models and adapt as market demands change.

“Creating and supporting sustainable revenue for AI offerings is often proving to be more challenging than building them,” said Erika Trautman, Chief Product Officer at Zuora. “We believe this recognition as a Leader by Gartner reflects what that actually requires: metering usage events at enormous volumes while running subscriptions, consumption, credits, and commitments, side by side, without breaking the close. In our opinion, very few systems do that at scale, and that’s why companies choose Zuora.”

Zuora’s monetization platform allows customers to:

• Monetize AI From Pricing to Revenue: Zuora’s AI Monetization Suite helps companies model AI pricing, launch new offers, and connect usage, billing, and revenue recognition on one connected foundation, tailored to rapidly evolving business models.
• Supercharge Finance Productivity: Zuora AI puts agents to work directly inside quote-to-cash, from billing and revenue to collections and reporting, so finance teams move faster inside the systems they already trust.
• Unify Quote-to-Cash: Replace disconnected systems with clean handoffs and close-ready data, end to end.
• Experiment with Flexible, Intelligent Pricing: Create flexible pricing and packaging, tailor by segment, and test new pricing models, including AI usage, credits, and commitments, without engineering dependencies.
• Manage the Entire Customer Lifecycle: Seamlessly orchestrate upgrades, renewals, payments, and lifecycle changes across markets and around the globe.
• Automate Revenue Recognition: Close the books faster, handle contract changes, simplify audits, and drive GAAP reporting and disclosures.
• Go Live in Weeks: With Milo, Zuora’s implementation agent, companies can go live in weeks with up to 80% fewer resources.

A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Challengers, Visionaries and Niche Players. Our comprehensive market coverage delivers unbiased insights that enable executives and their teams to make faster, smarter decisions about vendor/product selection. 

View a complimentary copy of the Magic Quadrant report here.

Gartner Disclaimer

Gartner, Magic Quadrant for Recurring Billing Applications, Mark Lewis, Kelly Fischbein, 12  August 2026

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates.

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash, helping companies operationalize complex revenue models, including subscription, usage, hybrid, and AI-driven pricing, without breaking finance. As AI changes what companies sell, how customers buy, and how revenue is generated and managed, Zuora’s flexible, modular software solutions help businesses adapt pricing and packaging, billing, payments, and revenue recognition to support increasing scale and complexity. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA, and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Media Contact

Margaret Juhnke

press@zuora.com

Trautman will guide Zuora’s product strategy, helping companies navigate AI monetization, put agentic finance to work, and accelerate quote-to-cash transformation

FOSTER CITY, Calif., August 4, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, today announced the appointment of Erika Trautman as its Chief Product Officer. Trautman now reports to Founder and CEO Tien Tzuo, leading global product strategy and innovation.

As AI changes what companies sell, how customers buy, and how revenue is generated, Zuora is accelerating product momentum across three critical areas:

• Turn AI offerings into revenue: Zuora’s AI Monetization Suite helps companies model AI pricing, launch flexible offers, and connect usage, billing, and revenue, tailored to rapidly evolving business moels
• Bring AI directly into finance workflows: Zuora AI powers agents across quote-to-cash, supercharging productivity inside the systems finance teams already trust
• Go live in weeks: Milo, Zuora’s implementation agent, takes companies from decision to go-live in weeks with up to 80% fewer resources

Trautman joins Zuora to carry this expansion forward. With more than 15 years of technology experience, Trautman has driven product innovation and scaled enterprise solutions across applied AI in video, collaboration, productivity, and social media management software. Most recently, she was Chief Product Officer at Sprout Social, where she drove the next wave of AI-powered innovation in social media management for business.

“Erika has built and scaled category-defining products at the exact moments when markets were changing fast,” said Tzuo. “Her blend of product depth, founder’s instincts, and customer-first leadership is exactly what this moment demands. That leadership will be critical as we help companies move from experimenting with AI to operationalizing it across finance.”

Prior to Sprout Social, Trautman was SVP and GM of Product at Atlassian, where she led the Work Management Portfolio and launched Atlassian’s first LLM-powered features in Confluence. Before that, she was a Product Director at Google, leading Google Drive and the Google Editors suite. Previously, she was the Founder and CEO of Rapt Media, an interactive video technology company that was later acquired by Kaltura, a leading enterprise software and AI-powered video experience platform.

“AI is rewriting how companies sell, grow, and make their finance teams more productive,” said Trautman. “That is where Zuora shines. Customers already trust us with systems where pricing, billing, collections, and revenue have to be accurate every time. We have a rare opportunity to define how AI changes monetization across quote-to-cash, and I look forward to building on that foundation.”

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash, helping companies operationalize complex revenue models, including subscription, usage, hybrid, and AI-driven pricing, without breaking finance. As AI changes what companies sell, how customers buy, and how revenue is generated and managed, Zuora’s flexible, modular software solutions help businesses adapt pricing and packaging, billing, payments, and revenue recognition to support increasing scale and complexity. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA, and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Media Contact

Margaret Juhnke

press@zuora.com

Milo helps companies rapidly adapt quote-to-cash as AI reshapes monetization

FOSTER CITY, Calif., July 28, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, today announced Milo (Model, Integrate, Launch, Optimize), a new implementation agent that helps companies go live in weeks. Now available for every Zuora deployment, Milo combines Zuora’s expertise from thousands of customer launches to create a living quote-to-cash digital twin of how a company sells, contracts, bills, and recognizes revenue, transforming implementation speed with up to 80%¹ fewer resources.

“Implementing a quote-to-cash system used to mean months of coordination, testing, and waiting on different teams,” said Eric Bodge, VP, Controller at ConstructConnect. “With Zuora, we started working with our own data almost immediately, so we could learn, validate, and reconcile much earlier than we expected. Zuora kept work moving by removing blockers and accelerating iterations, which reduced the burden on our internal teams and fundamentally changed what we expected an enterprise implementation could look like.”

Quote-to-cash is inherently custom: pricing and discounts can live in product catalogs, contracts, invoices, usage data, revenue policies, spreadsheets, and across individual expertise of finance and accounting teams. Before agentic implementation, system changes required teams to manually read, reconcile, and map those inputs across months of workshops and configuration. Milo can ingest and interpret that complexity in hours, giving companies the context to see how their business really works before implementation begins and a foundation that can continue to adapt after launch.

This adaptation is critical as AI reshapes monetization across industries. AI is driving rapid adoption of usage-based pricing, hybrid business models, credits, and other new revenue strategies. Yet supporting billing and revenue systems are among the most complex enterprise implementations, often taking more than six months and a dedicated team to go live. As companies face growing pressure to demonstrate return on their AI investments, quote-to-cash systems must evolve just as quickly with financial controls and compliance.

This starts with a faster, less daunting path to go-live. Milo handles the major jobs behind complex quote-to-cash implementations. Using numerous existing business inputs that often live outside a formal system of record, Milo creates an early view of the Zuora setup, how data will move, what dependencies need to be resolved, and what decisions need to be made, even before launch. Milo combines agentic implementation with Zuora’s long-standing expertise to help customers evaluate working, governed quote-to-cash systems in days.

Milo guides companies through every stage of implementation and ongoing evolution:

• Model: Creates a company’s living quote-to-cash digital twin by understanding systems, data, workflows, processes, dependencies, contract logic, pricing structures, and revenue policies. Milo builds the operational foundation needed to plan and execute change with more context from the start.
• Integrate: Brings Zuora systems and capabilities into the way the business operates by aligning technology, processes, data, and teams. Milo helps ensure Zuora fits into the broader operating environment, not just the technical architecture.
• Launch: Accelerates the journey from design to deployment by helping teams configure, validate, test, and bring new capabilities into production with greater speed and assurance.
• Optimize: Continuously improves after launch with an evolving understanding of the business, identifying opportunities to adapt, refine, and enhance how systems operate in today’s rapidly changing business landscape.

“AI is raising the bar and the need to constantly adapt monetization strategies. That starts with transforming enterprise implementation,” said Karthik Chakkarapani, SVP, Corporate Operations & CIO at Zuora. “By combining agentic implementation with Zuora’s proven expertise, Milo helps customers achieve tangible results sooner, shortening the path to go-live without giving up the governance and validation that systems of record require.”

Milo works in tandem with expert oversight. Zuora Global Services, Customer Success, and implementation teams remain actively in the loop to guide decisions, review outcomes, and validate critical work to keep projects on track. GSI partners continue to play a critical role in Zuora’s ecosystem, helping customers scale implementation and sustain success over time.

Milo is now available for every Zuora implementation, building a stronger foundation for necessary, continuous business change. To learn more, join the upcoming webinar on July 30, “Go Live in Weeks: How AI is Rewriting Billing and Revenue Implementation” or visit here.

¹Based on early customer testing

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash, helping companies operationalize complex revenue models, including subscription, usage, hybrid, and AI-driven pricing, without breaking finance. As AI changes what companies sell, how customers buy, and how revenue is generated and managed, Zuora’s flexible, modular software solutions help businesses adapt pricing and packaging, billing, payments, and revenue recognition to support increasing scale and complexity. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA, and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Media Contact

Margaret Juhnke

press@zuora.com

New capabilities and AI Pricing Simulator help companies model AI pricing, launch flexible offers, and connect usage, billing, and revenue recognition on one end-to-end monetization platform

FOSTER CITY, Calif., June 4, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, today announced new capabilities to monetize AI products quickly and effectively from pricing through revenue recognition. Additionally, with Zuora’s new AI Pricing Simulator, companies can explore pricing models and test assumptions in real time to understand potential revenue and financial impact even before launching an AI offer.

AI is changing what’s sold, how customers expect to buy, and how revenue is generated, managed, and trusted. While companies race to introduce AI products priced by usage, tokens, credits, commitments, outcomes, and hybrid models, operational demands increase to capture usage accurately, structure flexible contracts, recognize revenue correctly, and keep adapting as models change.

New capabilities in Zuora’s AI Monetization Suite help companies:

• Balance AI usage, demand, and spend with Flexible Commitments: Structure committed spend agreements that draw down across any mix of usage-based products, recurring charges, one-time fees, and services. Give sales teams more flexibility to shape AI contracts around customer requirements, while helping finance automate how those commitments flow into billing and revenue recognition.

• Test AI pricing before launch with the AI Monetization Simulation Experience: Walk through an AI offering, get pricing recommendations based on best practices, see how Zuora would support each model, and begin simulating impact across billing, revenue, and margins. Teams can evaluate pricing strategies, contract decisions, and active usage scenarios before rolling changes out to customers.

• Monetize AI usage with metered entitlements: Configure raw usage data, billable metrics, and access levels to those metrics natively within Zuora’s product catalog. This provides teams more flexibility to meter, entitle, and price a wide range of AI usage-based products while keeping pricing, access, usage, billing, and revenue connected.

• Give customers new transparency into AI usage with Zuora Experiences: Easily surface usage tracking, wallet balances, overage alerts, top-ups, and expansion offers directly in existing customer channels. Bring more predictability to variable AI consumption while giving customers visibility and control before usage turns into billing surprises.

Together, these capabilities build on Zuora’s nearly two decades of leadership managing monetization complexity across quoting, billing, collections, payments, and revenue recognition. As AI pushes companies toward more variable pricing and usage models, Zuora’s AI Monetization Suite brings the full process together end-to-end, helping companies launch flexible AI pricing models, support enterprise contracts, give customers usage transparency, and connect AI usage to billing and revenue recognition without disconnected side ledgers, downstream cleanup, or added audit risk.

“AI is turning monetization into a moving target,” said Shakir Karim, Senior Vice President of Product Management at Zuora. “Companies need to experiment with new pricing models as AI products evolve, but they also need financial control, auditability, and revenue accuracy from day one. Zuora’s AI Monetization Suite helps businesses launch, learn, and scale AI monetization without leaving finance to clean up the complexity later.”

“With the arrival of AI, many new pricing metrics are emerging,” said Mélanie Septe, Senior Vice President of Pricing at Cegid. “The challenge is to choose the one that will make sense for the future — both for the customer and for us. Zuora gives us the flexibility to test and pivot quickly as we learn.”

Zuora’s AI Monetization Suite is available now. Visit here to learn more, demo the new capabilities, or watch: “AI is Rewriting Revenue: Is Your Finance Team Ready?” 

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash, helping companies operationalize complex revenue models, including subscription, usage, hybrid, and AI-driven pricing, without breaking finance. As AI changes what companies sell, how customers buy, and how revenue is generated and managed, Zuora’s flexible, modular software solutions help businesses adapt pricing and packaging, billing, payments, and revenue recognition to support increasing scale and complexity. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA, and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Media Contact
Margaret Juhnke
press@zuora.com

Certification underscores Zuora’s leadership in AI governance as enterprises prepare for new regulatory standards

FOSTER CITY, Calif., May 4, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, announced it has achieved ISO/IEC 42001 certification, the international standard for AI management systems. This certification places Zuora among a select group of global organizations meeting the rigorous standards for responsible AI development and governance. 

ISO/IEC 42001 is the world’s first international standard specifically designed for AI management systems, providing a framework for organizations to ensure the safe, transparent and accountable use of AI. For Zuora, achieving the certification reflected a company-wide effort to formalize its AI governance. This included defining a comprehensive management system scope and establishing an AI policy, which served as the foundation for all of Zuora’s AI development. 

Zuora has also aligned its engineering teams to a unified AI playbook, standardizing the full AI lifecycle, conducting risk and impact assessments for every AI agent, and implementing robust data governance and transparency protocols. The certification further reflects independent validation that Zuora’s AI governance, risk management, and monitoring systems meet globally recognized standards. 

“Finance teams require AI to be trusted and accurate, as it can directly impact revenue, reporting, compliance, and data integrity,” said Pete Hirsch, Chief Product and Technology Officer at Zuora. “The ISO/IEC 42001 certification reflects the rigor Zuora has built into our AI systems from day one.”

The announcement comes amid increased AI investment and innovation at Zuora. As AI reshapes how companies monetize and operate, Zuora is powering businesses to adapt with greater speed, flexibility, and end-to-end control across quote-to-cash. From evolving pricing models to the downstream impact on billing and revenue, Zuora ensures AI-driven complexity is managed within existing controls, permissions, and audit frameworks. The company recently released new agents and skills for Zuora AI, redefining how finance teams unlock efficiency without adding headcount.

To learn more about Zuora AI, visit here. 

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash through a dynamic mix of usage-based models, subscription bundles and everything in between. From pricing and packaging, to billing, payments and revenue recognition, Zuora’s flexible, modular software solutions are designed to help companies evolve and scale monetization with demand. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Media Contact

Margaret Juhnke

press@zuora.com

Zuora delivers efficiency that CFOs trust within existing controls, permissions, and audit frameworks

FOSTER CITY, CALIF. April 16, 2026 – Zuora Inc., the leading monetization platform and system of record for quote-to-cash, today announced new agents and skills for Zuora AI, all built within existing controls, permissions, and audit frameworks. Trusted by CFOs, Zuora AI supercharges productivity for finance teams, just as AI copilots are supercharging developer productivity. By automating repetitive, manual tasks and surfacing explainable insights, Zuora AI makes finance more efficient, accelerating scale without increasing costs. 

But in finance, productivity alone isn’t enough. AI must be trusted, yet there is still a clear disconnect between AI innovation and the financial requirements to make it reliable, auditable, and usable. New research commissioned by Zuora and conducted on their behalf by The Harris Poll among over 300 finance and accounting decision makers found: 

• 92% of finance and accounting decision makers say their finance teams are using AI tools, but 87% say there’s a gap between AI promise and reality in finance
• 41% say one of the largest gaps is difficulty integrating AI outputs into finance workflows
• 33% say one of the largest gaps is the inability to audit or explain AI-driven results across systems
• 53% of finance and accounting decision makers say they would trust AI features embedded in existing solutions most when evaluating AI tools for finance
• Less than half (44%) of finance and accounting decision makers whose finance teams are using AI are “Very Confident” in their AI tools’ ability to operate within their existing financial controls and audit framework

Zuora AI embeds intelligence directly into a unified quote-to-cash process, without moving data across external tools or disconnected workflows. Since Zuora serves as a trusted system of record for the quote-to-cash process, it operates within an organization’s existing controls, permissions, and audit frameworks. Unlike AI tools that aren’t purpose-built for finance, Zuora ensures recommendations and actions align with established financial processes. Every interaction is transparent, traceable, and governed, with role-based access and configurable controls that reflect how finance teams already work. Zuora has also achieved ISO/IEC 42001 certification, the international standard for AI management systems, reinforcing its commitment to governed, accountable, and safe AI development and operations.

“AI can’t be ‘close enough’ in finance: accuracy is foundational when you’re dealing with revenue, compliance, and auditability,” said Todd McElhatton, Chief Operating and Financial Officer at Zuora. “Zuora AI brings intelligence directly into controlled financial workflows, surfacing the right information, accelerating decision making, and keeping humans in the loop, so finance can move quickly without introducing additional risk.”

Now, tasks that once required hours of manual reconciliation across files and systems are handled automatically within controlled workflows. Zuora AI’s latest agents and skills are purpose-built to help Revenue Managers, Revenue Accountants, Collections and Billing Operations teams: 

• Understand the impact of complex contract modifications: Rather than spending hours reconciling discrepancies, Zuora AI can instantly pinpoint what line items and prices changes, and fully explain the revenue impact before anything touches the ledger.
• See full financial impact before changing allocations: Zuora AI can generate a side-by-side comparison of current allocation, proposed allocation, dollar and percentage impact, and the exact ASC 606 formulas used.
• Instantly develop responses to audit inquiries: Zuora AI can pull together the insight needed to respond to auditors. For example: Identify high-balance accounts, pull subscriptions, invoices, and payment activity, and generate a structured, reviewable report grounded in your company’s data.
• Collect cash faster: Zuora AI prioritizes accounts based on payment behavior, surfaces context instantly, matches invoices to email and PDFs, and drafts follow-up communications without taking control away from your team. Collectors spend less time chasing information and more time bringing in cash.
• Close faster with immediate answers: Lets finance ask questions in plain language within any LLM using MCP and get structured answers directly from their Zuora data.

Zuora AI includes:

Chat with Zuora AI

Enter a free-form prompt to take action, pull insights, or schedule workflows all while operating within defined financial controls.

Integrated AI

Instantly understand the full financial picture of any account with summaries, insights, and smart actions – including invoices, payments, subscriptions, and risk signals – without digging across multiple screens.

Zuora MCP

Enable external AI tools to securely connect to Zuora and execute workflows using natural language. Teams can retrieve and analyze data, preview changes, and perform supported actions across subscriptions, product catalog, and billing without navigating APIs or writing code.

Zuora AI is now available to all customers, with options to enable customizations and agentic capabilities. To learn more, join our April 23 webinar: “AI in Quote-to-Cash: What Finance Needs to Know” or visit here. 

About Zuora, Inc.

Zuora provides the leading monetization platform and system of record for quote-to-cash through a dynamic mix of usage-based models, subscription bundles and everything in between. From pricing and packaging, to billing, payments and revenue recognition, Zuora’s flexible, modular software solutions are designed to help companies evolve and scale monetization with demand. Customers around the world, including BMC Software, Box, General Motors, The New York Times, Schneider Electric, and Zoom use Zuora’s unique combination of technology and expertise to transform their financial operations and how they go to market. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA and APAC. To learn more, please visit zuora.com.

© 2026 Zuora, Inc. All Rights Reserved. Third party trademarks mentioned above are owned by their respective companies. Nothing in this press release should be construed to the contrary, or as an approval, endorsement or sponsorship by any third parties of Zuora, Inc. or any aspect of this press release.

Methodology

This survey was conducted online within the United States by The Harris Poll on behalf of Zuora from March 18 – 25, 2026 among 321 finance/accounting decision makers (at least share decision making) ages 21 and over. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 6.4 percentage points using a 95% confidence level. For complete survey methodology, including weighting variables and subgroup sample sizes, please contact press@zuora.com. 

Media Contact

Margaret Juhnke

press@zuora.com