RedOwl provides AI agents that deliver real-time governance and pre-transactional intelligence for the Office of the CFO. These autonomous agents automatically enforce financial policies, validate transactions, and orchestrate workflows across the finance stack. The platform ensures compliance and audit readiness while significantly reducing manual effort in operations like Accounts Payable.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses struggle with managing corporate card spending, leading to out-of-policy expenses, wasteful spending, and potential misuse by employees. Traditional static, rule-based card systems lack the dynamic, contextual awareness needed to effectively control transactions in real-time.
Solution
RedOwl provides an AI-powered platform that integrates with existing payment rails to provide real-time, context-driven control over corporate card transactions. By leveraging multimodal Large Language Models (LLMs), RedOwl dynamically adjusts transaction parameters based on natural language inputs, ensuring compliance and enhancing financial oversight. The platform analyzes the entire data structure of a transaction payload to make informed decisions, distinguishing context even between similar transactions. This allows for dynamic controls that can change rapidly, providing a more flexible and responsive solution compared to static rule-based systems.
Target Audience
RedOwl targets finance leaders, finance teams, managers, and employees in startups, small businesses, midsize companies, and enterprises seeking to improve corporate card spending management.
Features
- AI-driven platform that sits between the card processing platform and the funding source.
- Uses multimodal LLMs to convert natural language input into actionable decision parameters.
- Provides dynamic, real-time transaction control that adapts to changing circumstances.
- Enriched statements provide finance teams with detailed transaction context for easier reconciliation.
- Funding source agnostic, compatible with pre-paid, debit, and credit funding sources.
- Multi-dimensional analysis uses the entire transaction payload for decision-making, not just MCC or MID codes.