RightRev launches RightAgents to automate revenue recognition work
RightRev, which makes revenue recognition software for finance teams, has launched RightAgents, a set of AI agents for the work behind the revenue number, according to a press release.
The agents pull terms from new contracts, turn revenue policies into rules, reconcile figures across billing, ERP and contract systems, and draft explanations, with a person reviewing and approving the result. They cover usage-based, prepaid, credit and hybrid contracts, which RightRev says are becoming more common as AI pushes companies toward consumption pricing. A data layer called RightContext connects to billing systems, ERPs and usage sources and can also be used by outside AI tools through the Model Context Protocol.
"With usage-based, prepaid, and hybrid contracts, revenue can change with every customer transaction," said founder and CEO Jagan Reddy. RightRev says it processes more than $44 billion in annual customer revenue.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Nov 12 BlueMatrix completes acquisition of AI research platform Aiera Nov 12 Schwab launches MCP server so clients can trade from Claude Nov 12 Bain: AI agents will make it easier to switch banks, threatening profits built on inertia Nov 12 The Pacific Financial Group signs Salesforce deal to reach advisors who research with AI Nov 12 Griffin raises $20 million for its agentic banking platform as it adds cards and stablecoinsFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Revenue Growth Agent Connects Sales Agents to ChatGPT and Claude
RELEX adds agent orchestration to RELEX Open
AppZen Introduces AI Agents for VAT Reclaims
Optro Launches AI Agents for Audit and Compliance
Vertafore Releases AI Tools for Policy Processing
Daily AI Brief: the AI news that matters, in your inbox.