Quickly and easily adapt to operational changes by consolidating your revenue transaction data into a single system that is built to grow with your business.
As companies grow, it gets more difficult to keep up with changes in the business – more systems, larger volumes of data, billing, payment, and compliance complexity. Leapfin consolidates your revenue transaction data into a single purpose-built system, powered by automation and AI, giving you access to complete, real-time revenue data for faster, easier reconciliation and reporting.
Even if your pricing and packaging or business model is complex, Leapfin automatically manages financial data preparation to meet your requirements.
As your business grows, Leapfin’s flexible data management and enrichment rules enable you to make adjustments to ensure business and industry compliance, plus track and audit any changes to data or rules.
Use natural language prompts to uncover anomalies, identify trends, and resolve issues. Then use AI to update rules to account for new data types and transactions.
Leapfin automatically consolidates and enriches transaction-level data from Stripe (as well as any other data source), normalizes and enriches the data, and automatically creates journal entries based on your business requirements. Accounting and Finance teams can recognize revenue accurately and reconcile payments faster, even as billing complexity increases, by eliminating manual spreadsheets and more easily complying with ASC 606.
Absolutely. Leapfin is specifically designed to handle the complexities of subscription billing models including usage-based pricing, tiered plans, and multiple revenue streams all while ensuring GAAP-compliant revenue recognition. And as your business grows and evolves, Leapfin’s flexibility allows you to make necessary adjustments and ingest and explore large volumes of data without skipping a beat.
Yes! Leapfin is built for teams that want to automate a simple revenue recognition schedule, but it’s especially effective for companies that have added complexity that comes from multiple billing or payment systems, product and pricing models, geographies, or other variables. By giving users control over their implementation and configuration they can apply – and change – rules that meet the specific requirements subscription businesses face when it comes to recurring billing and deferred revenue.
Leapfin uses native AI to help users surface trends, anomalies, and new transaction types using natural language prompts without requiring SQL or other query language skills. It helps Finance teams stay ahead of changes, troubleshoot issues faster, and adapt enrichment rules without waiting on engineering or BI teams.
Automating revenue recognition reduces tedious manual work, speeds up month-end close, and improves reporting accuracy across large volumes of transactions. It also helps Finance teams stay audit-ready, and ensures compliance with standards like ASC 606. And with Leapfin, users also benefit from having complete, reliable revenue data in real-time, giving leadership more timely visibility into revenue performance well before month-end close.
Key features to look for include the ability to handle high transaction volumes, flexible data transformation and enrichment, real-time reconciliation, and integrations with multiple billing systems and ERPs. Increasingly, finance leaders are also prioritizing AI capabilities that promote team efficiency, increased ROI, and adaptability to keep up as the business changes without having to hire additional people.
As companies scale, they adopt more systems to handle different pieces of the billing and payment experience, expand into new geographies, introduce varied product and pricing models, and have added layers of internal and external compliance requirements. This results in fragmented operational data across the business, managed by multiple functional teams (engineering, product, etc.), making it harder for Finance teams to track, reconcile, and recognize revenue in a timely and compliant way.
Leapfin is AI-powered revenue recognition and reconciliation software that helps companies accurately account for and report on revenue by standardizing large volumes of siloed, inconsistent operational data into usable, GAAP-ready financials and automating manual accounting tasks.