5 Best Finance AI Chatbots for Banks and Personal Finance
5 Best Finance AI Chatbots for Banks and Personal Finance
Sierra Ryan
Updated on: July 6, 2026
Expert written and reviewed by Voiceflow team
Table of contents
- TL;DR: The 5 Best Finance AI Chatbots at a Glance
- What Makes a Finance AI Chatbot Different
- 1. Erica (Bank of America)
- 2. Eno (Capital One)
- 3. Cleo
- 4. Plum
- 5. Sanlam Studios AI Coach (Built on Voiceflow)
- Should You Buy or Build Your Own Finance Chatbot?
- How Voiceflow Handles the Finance Compliance Stack
- FAQ
Key takeaways
- For retail users, the bot you should use is whichever one your bank already gave you (Erica or Eno) plus Cleo or Plum for coaching and savings on top.
- For fintechs under $500M ARR, building on a flexible agent platform beats off-the-shelf vertical bots. You own the UX, the data flow, and the model choice.
- For enterprise banks, the realistic options are build internally (slow, expensive) or build on a platform like Voiceflow (faster, with SOC 2 Type 2 + PII masking + model-agnostic baked in).
TL;DR: The 5 Best Finance AI Chatbots at a Glance
| Chatbot | Built By | Best For | Audience |
| Erica | Bank of America | Bank-built financial assistant with the longest production track record | B of A retail banking customers |
| Eno | Capital One | Real-time transaction alerts and fraud monitoring | Capital One customers |
| Cleo | Independent (AI-native) | Gen Z personal-finance coaching with personality | Consumers wanting interactive budgeting |
| Plum | Independent (AI-native) | Automated micro-savings and spending analysis | Consumers wanting hands-off saving |
| Sanlam Studios AI Coach | Sanlam Studios (built on Voiceflow) | B2B example of a brand-owned financial literacy + lead-gen agent | Fintech brands building their own agent |
What Makes a Finance AI Chatbot Different
Generic chatbots and finance chatbots have very different stakes. Three things matter for finance specifically:
Accuracy is non-negotiable. A coffee chatbot suggesting the wrong drink is a minor annoyance. A banking chatbot telling a customer their wire transfer cleared when it didn't is a regulatory and trust event.
Compliance has teeth. KYC (Know Your Customer), AML (Anti-Money Laundering), data protection laws like GDPR, and consumer-finance regulations from bodies like the CFPB all constrain what these bots can say and how they store data.
Sensitive data security. SOC 2 Type 2 certification, PII masking, end-to-end encryption, and audit trails of every interaction.
1. Erica (Bank of America)
Erica is Bank of America's virtual financial assistant, launched in 2018.
What it does well:
- Checks balances, recent transactions, and account activity
- Helps customers send money via Zelle, schedule payments, and lock cards
- Provides spending insights based on transaction patterns
- Surfaces credit-score updates and FICO change alerts
- Answers FAQ-level questions about products, fees, and policies
Where it falls short:
- Only available to B of A customers
- Conservative scope by design
Best for: Existing Bank of America retail customers who want banking assistance inside the mobile app.
2. Eno (Capital One)
Eno is Capital One's chatbot, with a sharper focus on real-time alerts and proactive notifications.
What it does well:
- Real-time transaction alerts
- Fraud monitoring with proactive flagging of unusual activity
- Virtual card numbers for one-time online purchases
Where it falls short:
- Capital One customers only
Best for: Capital One customers who care most about transaction visibility and fraud prevention.
3. Cleo
Cleo is an AI-native personal finance assistant.
What it does well:
- Budget tracking and personalized spending insights
- Goal-setting (savings targets, debt payoff plans)
Where it falls short:
- Premium features are paywalled
Best for: Younger users who want a personality-driven budgeting coach more than they want a formal advisor.
4. Plum
Plum is an automated-savings chatbot.
What it does well:
- Automated micro-savings based on spending pattern analysis
Where it falls short:
- More of a savings-automation app than a chatbot in the conversational sense
Best for: Users who want hands-off saving without thinking about it.
5. Sanlam Studios AI Coach (Built on Voiceflow)
Sanlam Studios is a fintech subsidiary of Sanlam.
What it does well:
- Delivers financial-literacy education in conversational form
Where it falls short:
- Specific to Sanlam Studios customers and prospects
Best for: Fintechs, banks, and credit unions considering whether to build a custom finance agent.
Should You Buy or Build Your Own Finance Chatbot?
- You're a retail customer. Use whichever bot your bank already provides.
- You're a fintech or financial-services brand under ~$500M ARR. The decision is mostly about brand control and integration depth.
- You're an enterprise bank or insurer. The realistic options are either build internally or build on a platform.
How Voiceflow Handles the Finance Compliance Stack
For teams that go the custom-build route:
- SOC 2 Type 2 + PII masking out of the box.
- Model-agnostic by design.
- Workflows + Playbooks + Tools.
- Knowledge Base.
- Native voice and phone.
- Evaluations + Observability + Environments.
FAQ
What is the best AI chatbot for finance?
The answer depends on what you're trying to do.
Are finance AI chatbots safe to use with sensitive financial data?
The bank-built bots inherit the security infrastructure of the parent bank.
Can a finance chatbot give actual financial advice?
Most consumer-facing finance chatbots provide insights and educational content but stop short of offering legally-binding financial advice.
How much does it cost to build a finance AI chatbot?
Costs vary widely. Expect six-figure annual budgets for enterprise deployments.
Will AI chatbots replace human financial advisors?
For routine inquiries, yes. For high-stakes advisory work, no.