Zuora AI Releases AI Agents to Significantly Boost Productivity in Quote-to-Cash Processes
Zuora AI has released new AI agents and skills that significantly enhance the productivity of financial teams in the Quote-to-Cash process. Operating while maintaining existing internal controls, authorization settings, and audit frameworks, it provides an AI solution that CFOs can trust for efficiency.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 20:00
- 🔍 Collected: April 28, 2026 at 11:31
- 🤖 AI Analyzed: April 28, 2026 at 13:04 (1h 32m after Collected)
Zuora (Headquarters: Foster City, California, USA; Japan subsidiary Zuora Japan K.K.: Shibuya-ku, Tokyo, Representative Director & Head of Japan Region/RD & RVP, Japan, Shigeki Iwakami; hereinafter, Zuora), a company deploying monetization platforms for the AI agent era, has released new AI agents and skills for 'Zuora AI' that significantly improve the productivity of financial teams in the Quote-to-Cash process.
This function operates while maintaining existing internal controls, authorization settings, and audit frameworks, enabling efficiency through AI that CFOs can trust.
[Actual management screen of Zuora AI] AI analyzes and proposes based on revenue data, consistently supporting business actions.
[Challenges in AI Adoption: The Trust Gap]
In the financial domain, AI utilization is not sufficient with just productivity improvement. While 'trust' is essential for AI adoption, a gap still exists between the evolution of AI and the reliability, audit compliance, and practical application required in the financial sector.
According to a survey conducted by Zuora in collaboration with The Harris Poll (targeting over 300 financial and accounting executives), the following realities were revealed:
● 92% of financial and accounting decision-makers utilize AI tools in their companies' finance teams, yet 87% recognize a 'gap between AI's potential and practical application'.
● 41% cite the difficulty of incorporating AI output into financial operations as a major challenge.
● 33% feel that AI output lacks sufficient explanation for auditing purposes.
● 53% responded that AI functions integrated into existing systems are the most trustworthy when evaluating AI for finance.
● Among companies using AI, less than 44% fully trust AI output within their existing control and audit frameworks.
[Key Features of Zuora AI]
Zuora AI applies to the entire Quote-to-Cash process, and can be utilized without integrating data across external tools or fragmented workflows.
Zuora functions as a reliable core system in the Quote-to-Cash domain. Zuora AI's judgments and operations are designed with transparency, traceability, and controllability, aligning with existing business processes. Furthermore, Zuora has obtained ISO/IEC 42001 certification for its AI management system, strengthening its commitment to developing and operating AI with guaranteed safety and accountability.
■Comment from Zuora COFO Todd McElhatton
In the financial domain, 'approximately correct' is unacceptable. Accuracy is indispensable when dealing with revenue, compliance, and audits. Zuora AI is directly embedded into controlled financial processes, enabling operations that accelerate decision-making without increasing risk. Simultaneously, by incorporating human judgment, it achieves both speed and sophistication for finance departments without creating new risks.
[Main Effects of Zuora AI]
Zuora AI automates reconciliation tasks that previously required manual work across multiple files and systems, all within a controlled workflow. With the latest AI agents and skills, it supports revenue management personnel, accounting personnel, and collections/billing personnel with the following tasks:
● Visualization of impacts from complex contract changes
Immediately identifies differences due to contract changes, clearly explaining how items and prices have changed, including their impact on revenue.
● Understanding financial impact before allocation changes
Compares current and proposed allocations side-by-side, visualizing monetary/percentage differences and calculation bases according to IFRS/new revenue recognition standards.
● Accelerated audit response
Identifies high-value customers, extracts contract, billing, and payment data, and automatically generates necessary reports for audit responses.
● Efficient collections and accelerated cash recovery
Supports prioritization based on collection trends, immediate provision of related information, linking invoices with emails/PDFs, and drafting follow-up messages.
● Rapid monthly closing
Obtains structured answers instantly from Zuora data via natural language queries to external LLMs through MCP.
[Main Functions of Zuora AI]
Zuora AI offers the following key functions:
● Chat with Zuora AI
Execute actions, obtain insights, and execute/schedule workflows via natural language instructions, all within existing financial controls.
This function operates while maintaining existing internal controls, authorization settings, and audit frameworks, enabling efficiency through AI that CFOs can trust.
[Actual management screen of Zuora AI] AI analyzes and proposes based on revenue data, consistently supporting business actions.
[Challenges in AI Adoption: The Trust Gap]
In the financial domain, AI utilization is not sufficient with just productivity improvement. While 'trust' is essential for AI adoption, a gap still exists between the evolution of AI and the reliability, audit compliance, and practical application required in the financial sector.
According to a survey conducted by Zuora in collaboration with The Harris Poll (targeting over 300 financial and accounting executives), the following realities were revealed:
● 92% of financial and accounting decision-makers utilize AI tools in their companies' finance teams, yet 87% recognize a 'gap between AI's potential and practical application'.
● 41% cite the difficulty of incorporating AI output into financial operations as a major challenge.
● 33% feel that AI output lacks sufficient explanation for auditing purposes.
● 53% responded that AI functions integrated into existing systems are the most trustworthy when evaluating AI for finance.
● Among companies using AI, less than 44% fully trust AI output within their existing control and audit frameworks.
[Key Features of Zuora AI]
Zuora AI applies to the entire Quote-to-Cash process, and can be utilized without integrating data across external tools or fragmented workflows.
Zuora functions as a reliable core system in the Quote-to-Cash domain. Zuora AI's judgments and operations are designed with transparency, traceability, and controllability, aligning with existing business processes. Furthermore, Zuora has obtained ISO/IEC 42001 certification for its AI management system, strengthening its commitment to developing and operating AI with guaranteed safety and accountability.
■Comment from Zuora COFO Todd McElhatton
In the financial domain, 'approximately correct' is unacceptable. Accuracy is indispensable when dealing with revenue, compliance, and audits. Zuora AI is directly embedded into controlled financial processes, enabling operations that accelerate decision-making without increasing risk. Simultaneously, by incorporating human judgment, it achieves both speed and sophistication for finance departments without creating new risks.
[Main Effects of Zuora AI]
Zuora AI automates reconciliation tasks that previously required manual work across multiple files and systems, all within a controlled workflow. With the latest AI agents and skills, it supports revenue management personnel, accounting personnel, and collections/billing personnel with the following tasks:
● Visualization of impacts from complex contract changes
Immediately identifies differences due to contract changes, clearly explaining how items and prices have changed, including their impact on revenue.
● Understanding financial impact before allocation changes
Compares current and proposed allocations side-by-side, visualizing monetary/percentage differences and calculation bases according to IFRS/new revenue recognition standards.
● Accelerated audit response
Identifies high-value customers, extracts contract, billing, and payment data, and automatically generates necessary reports for audit responses.
● Efficient collections and accelerated cash recovery
Supports prioritization based on collection trends, immediate provision of related information, linking invoices with emails/PDFs, and drafting follow-up messages.
● Rapid monthly closing
Obtains structured answers instantly from Zuora data via natural language queries to external LLMs through MCP.
[Main Functions of Zuora AI]
Zuora AI offers the following key functions:
● Chat with Zuora AI
Execute actions, obtain insights, and execute/schedule workflows via natural language instructions, all within existing financial controls.