Revenue recognition has changed drastically since 2009, when RightRev founder Jagan Reddy helped pioneer the revenue automation category. Today’s revenue accounting teams face pressure to scale more efficiently and speed up the close. Due to trends in the marketplace, they are increasingly forced to grapple with a wide range of monetization models including usage-based pricing and credits. And they are bogged down with manual, error-prone processes and edge cases, while leadership demands they weave AI into everyday workflows.
To support the increasing requirements, what those revenue teams need is practical automation paired with governed outcomes.
RightRev is proud to bring AI to revenue accounting teams with the launch of Revi, a first-of-its-kind AI revenue automation platform. Revi is a governed, audit-ready AI suite of tools embedded within the revenue recognition engine, built on a deterministic, context-aware, rules-based foundation with human-in-the-loop controls. Revi’s suite of tools supports finance teams at any stage of AI adoption and includes these three core capabilities:
- Revi Agents – Initially, we are launching two pre-built agents: Contract Review and Anomaly Detector. The same AI-powered framework behind these agents enables teams to configure and deploy additional agents to automate day-to-day revenue tasks with scoped actions and built-in human approvals.
- Revi Assistant – Empowers finance and accounting teams (especially FP&A) with conversational access to revenue intelligence, so they can receive context-aware, governed answers and actionable insights.
- Revi Architect – Enables finance teams to design, simulate, and validate revenue accounting rules—without writing code—for every rev rec edge case across all transactions. Examples of edge cases include new product offerings, revenue models or bundled solutions, allowing finance teams to support growth initiatives.
The Challenge of Generic AI Tools for Revenue Accounting
The market is flooded with AI tools promising automation through chatbots and agents, but unlike other areas of accounting, Revenue Accounting is complex and risky where errors create a waterfall of negative outcomes for CFOs. AI-enabled automation in Revenue Accounting requires determinism, compliance, transparency, and complete context.
While rev rec automation may cover 80–90% of scenarios, the leftover, critical edge cases require spreadsheets and manual workarounds. If a team changes monetization models, alters contracts, acquires a new business or updates pricing, finance teams are forced to slot into long IT queues and wait on custom code and costly integration projects.
In these situations, AI becomes noise rather than adding value. Impressive demos without relevant and safe application to rev rec isn’t going to cut it. Finance leaders need the ability to adapt revenue rules instantly, surface issues before they hit the P&L, simulate contract changes with accuracy, and stay continuously audit-ready. AI can’t be a black box. Teams need confidence that every AI action is explainable, controlled, and aligned with regulations like ASC 606 and IFRS 15.
“In our experience, accountants can spend about half their time on revenue close, as much as a third of their time on contract reviews, and the rest supporting FP&A and deal support. By applying governed automation to repeatable accounting tasks, finance teams can shorten the close, reduce manual investigation, and expand operational capacity, while maintaining audit integrity.” – Dan Miller, CFO, RightRev
Meet Revi
Revenue recognition is the final control point across contracts, pricing, usage, billing, and reporting. It’s the convergence of full financial data and context. This environment requires audit-first AI, not black-box AI. While other vendors continue to introduce surface-level chatbots and agents, Revi sits at the CFO stack’s most authoritative layer, giving AI the context it needs to produce accurate, consistent, and audit-defensible outcomes.
This capability is powered by a Revenue Context Engine—which captures 100% of workflows, rules, logic, and data relationships in a deterministic, transparent, and fully extensible structure. This engine is foundational to all of Revi’s capabilities, and gives AI the complete context required for accurate, compliant, and explainable revenue decisions.
On top of this foundation are embedded human-in-the-loop controls and governance. Revi does not make any autonomous decisions or actions impacting revenue processes. Every AI-driven output is traceable to source data and revenue policies, producing consistent, explainable results ready for audit review.
Revi operates within secure customer environments and doesn’t transmit financial data outside of approved data boundaries. The platform is designed to run without exposing sensitive revenue data to external networks, reinforcing enterprise-grade security and control.
These pioneering rev rec AI capabilities reinforce RightRev’s reputation as the innovator in Revenue Automation.
“RightRev has emerged as a leading platform in automating revenue recognition and revenue management. The company combines deep domain expertise with modern software and a rapidly growing set of production proof points. As finance teams grapple with revenue leakage, increasingly complex consumption models, and the need for practical AI use cases, RightRev is aiming at a rapidly growing market opportunity.” – Igor Stenmark, co-founder and managing director at MGI Research
Revi Agents
Many finance teams struggle to scale day-to-day revenue operations. Manual tasks and system handoffs slow the month-end close. Revi Agents take revenue automation to the next level, automating cumbersome contract review with AI and proactively eliminating data errors and anomalies. That’s work that used to take up to 20-30% of revenue accountants’ time. With Revi Agents, teams can reclaim that time for strategic analysis.
The platform launches with two pre-built AI Agents that automate core revenue accounting workflows:
- Contract Review Agent, which automatically reviews contracts, extracts key terms, identifies performance obligations, and applies defined revenue rules to generate documented, audit-ready checklists. Instead of manually interpreting agreements and populating templates, accountants review AI-prepared outputs and focus on professional judgment and validation.
- Anomaly Detector Agent, which continuously scans revenue schedules and flags unexpected variances using defined pricing, packaging, and accounting rules. By identifying and explaining anomalies before they affect reporting, disclosures, or financial statements, it reduces the risk of misstatements and replaces reactive month-end investigation with proactive oversight.
Teams can use the same AI-powered framework to configure and deploy additional scoped Agents for any revenue task, with defined guardrails and human approvals built in.
Result: Operational throughput is increased without brittle custom automation. Repetitive revenue work can be executed at scale. Consistency of execution is improved across revenue processes.
Revi Assistant
This chatbot offers a conversational front door to revenue intelligence. Finance leaders often lack immediate visibility into what’s happening in revenue, but with Revi Assistant, teams can ask natural-language questions to get instant, context-rich answers based on live revenue data without digging through logs, spreadsheets or systems.
Result: Contextual answers teams can act on in seconds, improving operational efficiency and transparency across the Office of the CFO, especially FP&A. Review cycles are shorter. Rev rec teams are interrupted less. Cross-functional alignment is improved with self-serve revenue insight.
Revi Architect
At the core of Revi is the Architect, which enables finance teams to design and deploy rev rec use cases without writing code, including first-mile and last-mile edge cases. Many teams choose to build their own solutions, but with SOC, maintenance, and other challenges, it becomes impossible to scale.
Revi Architect is the best of both worlds. What we’ve already built is secure and offers integrations to Sage, Microsoft Dynamics, NetSuite, QuickBooks, Rillet, and Workday. But if you need something unique for your business, you can build it inside RightRev.
Teams can define revenue policies within an integrated simulation environment, while AI generates the underlying logic and operationalizes approved rules across contracts at scale. Instead of wasting time in spreadsheets or depending on engineers and third parties for customization, finance teams have the ability to fully tailor revenue recognition automation across any monetization model.
Result: No more painful offshore disasters on top of a framework that leads to resource-draining projects. The flexibility of bespoke software is achieved without the cost, delays, or fragility of one-off builds and bolted-on AI features. First-mile and last-mile scenarios are brought into governed, repeatable rules. Audit-readiness is continuous with consistent outcomes and full traceability.
Get Started: Experience AI-Powered Rev Rec with Revi
RightRev is already known for being the innovator in the automated revenue recognition category, led by the vision of CEO and founder Jagan Reddy. When Jagan announced our $13M Series A in 2025, he noted that deepening AI capabilities was a key piece of RightRev’s innovation agenda moving forward. The launch of Revi marks a major milestone in this journey.
“Revenue recognition teams are burning the midnight oil—reviewing contracts one by one and reconciling transactions against revenue results. Most still operate with a patchwork of ERP workflows and spreadsheets, and that heavy manual effort becomes a major barrier to both compliance and an on-time close.
The demand to support pricing flexibility and new revenue models shouldn’t slow innovation and go-to-market deployment; finance should be the accelerator and catalyst for growth, not the constraint. Revi helps teams scale revenue operations with control. It unlocks capacity and team efficiency while strengthening transparency.” – Jagan Reddy, CEO, RightRev
Learn more and request a demo on our product page. We’ll also be showcasing Revi capabilities in our upcoming webinar: SAVE YOUR SEAT
