See the Webinar here:
Most finance teams are already using AI to draft memos, summarize contracts, and pull reports. The harder question is what comes next: how do you move from a smart chatbot to a controlled finance assistant that can actually execute on revenue recognition?
In this webinar, Jagan Reddy (CEO, RightRev) and Angela Liu (Founder, GaapSavvy) break down context engineering for revenue recognition, what it actually means to build an audit-ready AI layer, and why general-purpose models break down when they hit the five-step model.
“Context engineering in finance means making sure the AI has the right facts, the rules, the data lineage, the tools, the policies, the permissions, and the business meaning before it can answer.” Jagan Reddy, CEO, RightRev
You’ll see a live demo of how RightRev’s context layer powers its AI assistant, anomaly detection agents, and use case architect, and why deterministic execution underneath AI is what makes any of it auditor-safe.
Watch the webinar to see how context engineering works in practice, where general-purpose AI falls short in rev rec, and what an audit-ready AI architecture actually looks like.