Automated revenue recognition solution provider RightRev announced Wednesday the launch of Revi, an AI-powered revenue automation platform.
The platform is designed to simplify manually intensive revenue accounting workflows for finance organizations to scale revenue operations and expand accounting team efficiency, the company said in a March 4 media release.
Revi is a governed, audit-ready AI suite embedded within the revenue recognition engine, built on a deterministic, context-aware foundation with human-in-the-loop controls. Every AI-driven output is traceable to source data and revenue policies, producing consistent, explainable results ready for audit review.
Most revenue recognition teams continue to operate with a patchwork of ERP workflows and spreadsheets, and that heavy manual effort becomes a major barrier to both compliance and closing the books on time, said Jagan Reddy, founder and CEO of RightRev.
“Revenue recognition teams are burning the midnight oil—reviewing contracts one by one and reconciling transactions against revenue results,” he said in a statement. “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.”
The platform launches with two AI agents that automate core revenue accounting workflows:
- Contract Review Agent: 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: 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.
Revi’s suite of tools supports accounting and finance teams at any stage of AI adoption and is built to execute revenue workflows directly within the revenue recognition engine rather than add another layer of reports or external tools:
- Revi Agents: The same AI-powered framework behind the Contract Review and Anomaly Detector agents enables teams to configure and deploy additional scoped agents for any revenue task, with defined guardrails and human approvals built in.
- Revi Assistant: Provides conversational access to revenue intelligence, enabling accounting and finance teams, especially financial planning and analysis, to ask revenue-related questions and receive context-aware, governed answers directly from live revenue data without reconciling reports across systems.
- Revi Architect: Enables finance teams to design and deploy revenue recognition use cases without writing code, including first-mile and last-mile edge cases. Within an integrated simulation environment, teams can define revenue policies while AI generates the underlying logic and operationalizes approved rules across contracts at scale.
“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,” said Dan Miller, CFO of RightRev. “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.”
RightRev is SOC 1 and SOC 2 compliant and committed to protecting customer data and ensuring privacy. Designed to run without exposing sensitive revenue data to external networks, the platform reinforces enterprise-grade security and control.
More information about Revi can be found here.
Photo credit: RightRev via LinkedIn
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