AI agents for finance
9 tools · listed in dataset order, no ranking
AI agents for banking and financial workflows — executing payments, transfers, and account actions with compliance controls.
Payman
Payman
Agentic Banking Platform for Financial Institutions
Best for: Banks and credit unions that want to offer agentic banking — customers executing real transactions conversationally — without replacing core systems
Rowan
Rocket Money
Personal Finance Agent That Acts by Text
Best for: U.S. Rocket Money subscribers who want proactive help taking routine financial actions without opening a budgeting dashboard
Ari
cfo.ai (formerly Runway Financial)
Ari by cfo.ai: AI CFO Agent for Forecasts, Scenarios and Board Reporting
Best for: Startup founders and lean finance teams at venture-backed or subscription businesses who want live forecasts, hiring scenarios and board reporting built from their actual systems without hiring a full FP&A team
Robinhood Agents
Robinhood (Robinhood Labs, LLC)
Robinhood Agents: Built-In AI Trading Agent in the Robinhood App
Best for: Self-directed U.S. Robinhood customers who want an in-app agent to help research stocks, options, and crypto and prepare orders they review, from a separately funded account
Percy by Footprint
Footprint (One Footprint Inc.)
Percy by Footprint: AI Agents for AML, KYC/KYB, Sanctions and EDD Investigations
Best for: BSA/AML, KYC and risk operations teams at banks and fintechs with written SOPs and a growing queue of watchlist hits, EDD reviews, business due diligence and transaction monitoring alerts, who need every decision documented for examiners
Vibe-Trading
HKUDS (Data Intelligence Lab@HKU)
Vibe-Trading: Open-Source AI Agent for Market Research, Backtesting, and Broker-Connected Trading
Best for: Self-directed quant researchers, students, and technical retail investors who want a free, self-hosted agent that pulls multi-market data, writes and backtests strategies, runs multi-agent research teams, and audits their own trade history, using their own LLM key
Ana by Vertice
Vertice (Vertice Technology Inc.)
Ana by Vertice: AI Negotiation Agent for SaaS Purchases and Renewals
Best for: Finance and procurement teams at mid-size and large companies with hundreds of SaaS contracts and limited headcount, especially for tail-spend and transactional renewals that currently renew with little or no negotiation
Stuut
Stuut Technologies
Stuut: AI Agents for B2B Collections, Cash Application and Order-to-Cash
Best for: Mid-market and enterprise B2B finance and AR teams with high invoice volumes, many small accounts, multiple entities or ERPs, and heavy remittance and deduction work, who want an agent to do the outreach and matching rather than another worklist
Fuel Agents
Fuelfinance
Fuel Agents: Multi-Agent Workflows for Month-End Close, Reconciliation and Cash
Best for: Controllers, accounting leads and CFOs at mid-market and enterprise companies who spend hours on recurring reconciliations, close checks and cash reporting, and want governed agents with approval gates and an audit trail, set up with help from Fuel's finance engineers
How to choose a finance tool
Agentic banking executes, it doesn't just answer
Tools here act on accounts — payments, transfers, account analysis — rather than only answering questions, so policy validation, approvals, and audit trails matter as much as the conversational layer.
Most are sold to institutions, not consumers
Agentic-banking platforms in this category are typically B2B — integrated into a bank or credit union's core systems and sold to the institution, not offered as a self-serve consumer or developer product.
Common questions about finance tools
What is an AI finance or agentic-banking agent?
An AI agent that performs real financial actions — payments, transfers, account analysis — on a user's behalf, validated against the institution's policies, rather than only answering questions.
Are these tools for consumers or institutions?
Most agentic-banking platforms here are sold to financial institutions (banks and credit unions) and integrated into their core systems, rather than offered directly to individual consumers or developers.