TigressAI provides AI‑driven agents that function as digital employees for U.S. financial services risk and compliance teams.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions face high volumes of risk and compliance alerts that require manual validation, leading to backlogs, increased operational costs, and inconsistent audit readiness. Reliance on outsourcing and expanding headcount further strains resources and hampers timely decision‑making.
Solution
TigressAI delivers AI‑driven agents that act as digital employees for U.S. financial services risk and compliance operations. Built on the GRITA agentic AI framework, each agent continuously gathers data, reasons through complex regulatory rules, and autonomously validates or escalates alerts. The agents are pre‑trained with domain intelligence, adapt to an institution’s specific policies and risk appetite, and produce auditable decisions at scale. By automating routine tasks such as UARs, KYC, and regulatory reporting, TigressAI eliminates manual backlogs, reduces reliance on third‑party outsourcing, and frees human analysts to focus on higher‑value investigations.
Target Audience
Primary customers are risk, compliance, and operations teams at U.S. banks, credit unions, and other regulated financial institutions seeking to automate alert validation and regulatory reporting.
Features
- Continuous monitoring and validation of risk alerts using AI agents that reason through institution‑specific rules
- Pre‑trained domain models for compliance functions including UARs, KYC, and regulatory reporting
- Adaptive learning from internal data to align decisions with each firm’s policies and risk appetite
- Auditable decision logs that ensure consistency and support regulatory examinations
- Scalable deployment without additional headcount, reducing outsourcing and staffing costs
- Seamless integration into existing risk management workflows and data sources