Best Finance Chatbots and How to Use Them (2025)

Bank of America’s Erica

The most widely-known finance chatbot, the Bank of America’s Erica, was a pioneer in the space. 

A giant in the field, the bot has racked up over 2 billion interactions since its launch in 2018 – and BofA’s data science team has made more than 50,000 updates to Erica’s performance to fine-tune its success.

Erica’s most common tasks include: monitoring subscriptions, spending behavior guidance, deposit information, finding account or routing numbers and assistance with transfers and bill payments.

“Erica acts as both a personal concierge and mission control for our clients,” said Nikki Katz, Head of Digital at Bank of America. “Erica meets clients where they are and when they need us, and has become a true guide by their side.”

HDFC Bank’s Eva

India’s first AI banking chatbot, HDFC Bank’s chatbot Eva is transforming rural banking.

Launched on CSC’s Digital Seva Portal, Eva supports over 127,000 Village Level Entrepreneurs (VLEs), providing critical banking services to last-mile customers in semi-urban and rural India.

Eva empowers VLEs with 24/7 access to accurate information on products, processes, and training materials. It helps streamline services like account openings, loan lead generation, and customer support, while also preparing VLEs for certification as Business Correspondents (BCs).

American Express’ Amex Bot

The Amex Bot for Facebook Messenger helps Card Members manage their accounts. Users can:

• Ask for real-time updates on their balance
• Check Membership Rewards points
• Review pending charges instantly
• Link their card to Facebook for payments
• Be transferred to customer support when needed

The Amex Bot is a perfect example of a channel-specifc finance chatbot – it turns Messenger into a powerful financial tool, offering Card Members easy insights and access to their account information.

Mastercard’s Decision Intelligence

Mastercard’s Decision Intelligence Pro uses generative AI to transform fraud detection. How?

By analyzing one trillion data points in under 50 milliseconds, it evaluates connections between accounts, merchants, and devices to assess transaction risk.

Their advanced system improves fraud detection rates by up to 300% while reducing false positives by more than 85%.

Decision Intelligence shows that AI systems aren’t just for client-facing conversations – they can help banks analyze data, optimize transaction approvals, and enhance security.

1. Real-time risk mitigation

AI chatbots can proactively identify and address risks by analyzing transactional data, detecting anomalies, and issuing alerts before they escalate. 

This includes flagging potential fraud, predicting credit defaults, or identifying compliance breaches. By automating risk oversight, chatbots help institutions stay ahead in volatile financial environments.

2. Enhanced decision-making for employees

AI doesn’t need to replace human workflows – often, it enhances them.

Chatbots can assist bankers, analysts, and advisors by aggregating complex datasets, generating actionable insights, and delivering them in an easily digestible format. 

This reduces time spent on manual analysis, enabling professionals to focus on strategy and client relationships (all while making more data-driven decisions).

3. Workflow automation across departments

Chatbots are more than conversational tools – they’re powerful workflow automation engines. 

They can streamline processes like loan underwriting, document validation, and regulatory reporting. 

By coordinating tasks across teams and systems, they reduce delays, improve accuracy, and allow employees to focus on more strategic work. 

4. Personalized financial ecosystems

AI chatbots can analyze individual user data to offer tailored financial planning, investment strategies, and even insurance coverage recommendations.

Their feedback and advice can be tailored not just to individual habits, but to life stages, locations, or goals.

5. Scalability without compromising quality

Financial institutions often face surges in demand, like tax season or market volatility. AI chatbots enable seamless scalability by handling increased volumes of inquiries or tasks without sacrificing responsiveness or accuracy. 

Embed explainability into AI outputs

Financial chatbot users need transparency. Ensure your chatbot provides explainable AI responses, especially for high-stakes queries like loan denials or investment recommendations. 

Integrate features like a "Why This Recommendation?" button to display the data points and logic used to arrive at its conclusion. This builds trust with users and satisfies regulatory requirements.

The best AI chatbot platforms will have flexible options to build in custom AI explainability, so that your users (whether employees or customers) understand your bot's logic.

Design for multi-layered security from the ground up

Beyond encryption and authentication protocols, implement real-time anomaly detection models to monitor chatbot behavior for unexpected patterns, which could signal malicious exploitation. 

Regular penetration testing and compliance audits specific to financial regulations (e.g., GDPR, PCI DSS) ensure that your chatbot isn't a weak link in your ecosystem.

Prioritize seamless human escalation

While automation is key, ensure your chatbot integrates smoothly with human agents for complex queries. 

For example, if a customer disputes a flagged transaction, the bot should pass all contextual data to the human agent, avoiding redundancy and ensuring swift resolution. 

A poorly managed escalation? It will undermine your users’ trust.

Enable multi-modal interactions

Multi-modal interactions – like video, image, and voice – can create richer experiences and accommodate diverse user preferences. A multimodal finance chatbot can:

• Handle voice commands for account inquiries or financial advice
• Process document uploads like receipts or ID verification
• Recognize images for check deposits or invoice submissions
• Display spending trends or loan schedules as interactive visuals
• Show how-to videos for clients in need of assistance 

The world is quickly becoming more and more multimodal. Build your chatbot to keep up with how your users communicate.

1. Account Information

Navigating financial details can be overwhelming. 

Chatbots provide immediate access to account balances, transaction history, and account specifics, helping customers stay on top of their finances with ease.

2. Fraud Detection and Alerts

Chatbots monitor transactions in real-time, flagging suspicious activities and notifying users or security teams instantly.

3. Streamlined Loan Applications

Chatbots simplify the loan process, making it faster and less stressful. They guide users step-by-step, provide instant eligibility checks, and answer common queries.

4. Personalized Budgeting Assistance

Imagine a chatbot that analyzes your spending habits and income data to offer tailored budgeting advice. It’s a bespoke service that’s easy to scale with an AI chatbot.

5. Expense Tracking Made Easy

Chatbots are like digital accountants, categorizing expenses and providing real-time updates.

• Flag overspending in specific categories
• Suggest adjustments to stay within budget

6. Compliance Monitoring for Professionals

For compliance officers, chatbots automate routine checks, flag discrepancies, and generate detailed reports, reducing the risk of penalties and saving valuable time.

7. Simplified Tax Calculations

Tax chatbots take the stress out of filing by:

• Tracking deductible expenses throughout the year
• Estimating tax liabilities instantly
• Answering FAQs about tax laws and filing deadlines

8. Customer Onboarding

Chatbots make first impressions count. They collect essential information, explain services clearly, and walk new customers through account setup – all with minimal friction.

9. Interactive Financial Education

Chatbots empower users with financial knowledge. They provide tutorials, answer FAQs, and even include quizzes to help customers better understand topics like loans or investments.

10. Payment Reminders

Avoiding late fees is simple with reminders. Chatbots can notify users of upcoming bills and offer tips to automate recurring payments for greater convenience.

11. Personalized Cross-Selling

Chatbots are a common first step in harnessing AI for sales. They boost satisfaction by suggesting relevant products based on user profiles. For example, a user with recurring travel expenses might be shown tailored credit card offers with travel perks.

12. Document Collection and Verification

Paperwork slows down processes. Chatbots streamline document gathering and verification for loans or account setups, reducing delays and improving customer experience.

13. Predictive Financial Forecasting

Using historical and real-time data, chatbots predict trends to:

• Help professionals adjust investment strategies
• Enable users to plan for major expenses like tuition or home purchases

14. Insurance Claims Assistance

Claims processing can be tedious, but chatbots automate it. They guide users, verify documents, and provide real-time updates on claim status, speeding up resolutions.

15. Regulatory Updates

Staying informed is essential. Chatbots keep finance professionals updated on new regulations or policy changes, ensuring compliance and informed decision-making.

16. Sales Support

For financial advisors, chatbots aggregate client data and market insights to create tailored pitches. This allows advisors to focus on building client relationships rather than digging through data.

17. Assistance with Complex Forms

Paperwork shouldn't be a barrier to services. Chatbots guide users through complex financial forms step-by-step, simplifying processes like loan applications or account openings.

1. Botpress

Botpress is a versatile AI chatbot platform, endlessly customizable and extensible for financial companies and institutions.

It’s always up-to-date with the latest LLM engines, ensuring its chatbots and AI agents are always powered by the most recent technology.

Botpress offers a visual drag-and-drop canvas for developers, automatic translations for over 100 languages, and endless customizability. 

The platform includes pre-built integrations to the most popular software and channels, but allows developers to connect their bot to any knowledge base or internal platform. This endless extensibility makes Botpress an excellent platform for professional, enterprise-grade AI agents. 

The company has over 750,000 active bots in production as of June 2024, processing over 1 billion messages. Their AI chatbots span customer service, HR, IT, governments, tech, and more.

Botpress comes with a thriving community. If you’re looking for a developer to build your chatbot, Botpress offers an extensive partner network of expert builders. And their active Discord community of 25,000 bot-builders provides 24/7 access to other developers. 

Learning the ins and outs of the platform is made simple with their YouTube video tutorials and by their  expert-curated courses at Botpress Academy.

Key Features 

• Advanced analytics
• Endlessly extensible – connect your bot to any platform or channel
• Pre-built integrations
• Military-grade security
• Automatic translation to over 100+ languages

2. LivePerson

LivePerson was founded in 1995 and has expanded globally since. They provide voice and messaging capabilities in their chatbots, and allow users to integrate their bots with other communication channels. 

Their chatbot app features human like conversations with advanced conversational AI, generative AI, and voice AI abilities, all hosted on their Conversational Cloud. Their product is adept at digitizing voice conversations for your website visitors. 

LivePerson has third-party partnerships that support an omnichannel conversational suite, giving your bot the ability to connect to your data with Avaya, Amazon Connect, and Genesys.

Their generative AI allows for generative insights about customers, and their internal dataset powers their proprietary models. 

3. Yellow.ai

Yellow.ai is an enterprise-grade AI chatbot platform designed to enhance both customer and employee conversational experiences. It specializes in customer service functions, including retail, BFSI, and healthcare. 

Yellow.ai allows for personalized interactions integrated across multiple channels, including websites, apps, and various messaging channels. 

Yellow.ai hosts a no-code/low-code bot builder, enabling quick deployment of AI chatbots and agents without extensive coding knowledge. The deployment time is further improved with Yellow.ai’s prebuilt templates and integrations.

The platform can support conversations in over 100 languages, and they offer services like campaign management and autonomous customer interaction.

The platform features DynamicNLP™, used to facilitate high intent accuracy and multilingual fluency – this can significantly reduce deployment time and enhance scalability for chatbot builders. 

4. IBM watsonx Assistant

IBM watsonx Assistant is a conversational AI platform designed to build virtual and voice assistants for customer service applications, including financial clients. 

It leverages artificial intelligence and large language models to learn from customer interactions, aiming to improve issue resolution efficiency and reduce customer wait times.

Unlike traditional chatbots, watsonx Assistant can query knowledge bases, seek clarifications, or escalate to a human agent as needed. It’s adaptable for use in various environments, including cloud and on-premises setups.

The platform also offers voice capabilities, allowing integration into telephonic customer support systems. IBM promotes watsonx Assistant as a tool for improving the efficiency and effectiveness of customer service interactions.

5. Kore.ai

Kore.ai provides a multifaceted AI chatbot platform designed for enterprises and small businesses, aimed at enhancing customer, employee, and agent experiences. 

The platform stands out with its no-code approach, enabling users to create intelligent virtual assistants (IVAs) without coding skills. It also offers low-code options for deeper customization.

Kore.ai also focuses on security and compliance, crucial for sensitive sectors like banking and healthcare. Analytics and reporting tools provide insights for optimizing customer service strategies. 

The platform's adaptability across different industries, from banking to healthcare, helps businesses streamline processes and enhance customer interactions. Kore.ai’s free trial option allows companies to evaluate the platform's fit with their specific needs. 

Overall, Kore.ai positions itself as a comprehensive solution for creating and managing AI-driven customer interactions, aiming to improve efficiency and customer satisfaction across various sectors.

Key Features 

• Support for over 120 languages and channels
• Pre-built bots for various industries
• Advanced dialog management

Define your objectives

Clarify what you want your chatbot to accomplish. Is it answering basic customer queries, assisting with complex fraud detection workflows, or orchestrating end-to-end compliance automation across departments?

Financial chatbots can go beyond handling customer queries – they may assist internal teams with market analysis, regulatory checks, or transaction risk assessments. 

Your objectives will determine whether you need a customer-facing bot, an internal workflow assistant, or a multi-functional AI agent.

Pick a platform

Selecting a platform tailored to the financial sector is crucial. Look for:

• Regulatory Compliance: Ensure the platform aligns with financial regulations like PCI DSS, GDPR, or local banking standards.
• Integration Capabilities: It should connect with your core banking systems, fraud detection software, CRMs, and payment gateways.
• Security Features: Advanced encryption, multi-factor authentication, and role-based access are non-negotiable for financial data protection.
• Customizability: Choose a platform that lets you fine-tune the chatbot’s functionality to match your organization’s specific needs.

Build your chatbot

Ensure the chatbot is trained on domain-specific data and scenarios, such as:

• Detecting anomalies in transactions for fraud prevention.
• Assisting customers with investment advice or loan applications.
• Automating account management tasks, like balance checks or recurring payment setups.

Integrate knowledge bases for banking products, financial regulations, and market insights to make the chatbot a reliable resource for users and teams alike.

Integrate Essential Tools and Systems

In the financial sector, smooth integrations can make or break your chatbot’s effectiveness. Key systems to integrate include:

• Fraud detection platforms: Tools like ThreatMetrix to flag suspicious activity.
• CRMs: Salesforce or HubSpot for managing customer interactions.
• Core banking systems: Real-time access to account, loan, or payment data.
• Compliance tools: Automated tracking and reporting for regulatory audits.
• Market data platforms: APIs for real-time stock, currency, or commodity pricing.

These integrations ensure your chatbot delivers accurate, actionable information.

Test and reiterate

Financial chatbots operate in high-stakes environments where errors can erode trust. Test rigorously with edge cases, such as:

• Unusual transaction patterns for fraud detection.
• Ambiguous compliance questions.
• Complex multi-step processes like mortgage applications or wealth management recommendations.

Use stress testing to evaluate how the chatbot performs under peak demand, such as tax season or market volatility.

Deploy and monitor

Once live, monitor the chatbot’s performance using analytics. Key metrics for financial chatbots include:

• Accuracy of responses to complex queries.
• Fraud detection rates and false positive reductions.
• Customer satisfaction scores and feedback trends.

Set up automated feedback loops for ongoing improvements, ensuring the chatbot evolves as regulations change, customer needs shift, or new financial services are introduced.

Can I use a chatbot for both internal operations and external customer support at the same time?

Absolutely. You can design a single chatbot with different workflows for employees and customers. Just make sure it has access controls and role-based responses so each user gets the right info.

What’s the difference between a chatbot and an AI agent in a financial context?

A chatbot usually answers basic questions, while an AI agent goes a step further. It can make decisions, trigger actions, or even coordinate across systems like a mini digital employee.

How do finance chatbots manage user consent and data privacy policies?

Good finance bots always get clear consent before handling sensitive info and are designed to follow strict privacy rules (like GDPR). Many also offer explainable AI features so users know how decisions are made.

What are the most common integration challenges during chatbot deployment?

The biggest headaches are usually around connecting to legacy banking systems, syncing real-time data, and making sure all tools (like CRMs or fraud detectors) talk to each other smoothly.

How will finance chatbots evolve over the next 3–5 years?

They’re going to get smarter, more human-like, and way more proactive. Think voice, video, predictive insights, and even helping with strategic decisions instead of just answering questions.