Finance departments are asked to achieve more with the same resources. Every month is filled with new invoices, transactions, regulations, and financial reports, but hiring larger teams isn’t always an option.
That is the reason why some companies start using AI agents for finances that can take care of routine activities such as invoice processing, account reconciliations, document management, customer services, and financial reporting.
KPMG’s Global AI in Finance Report, 71% of companies are already using AI in their finance function. In this guide, I’ll compare the best AI agents for finance, their strengths, pricing, and who they’re best suited for.
Quick Comparison
|
Platform |
Best For |
Free Plan |
Starting Price |
|
Microsoft Copilot |
Microsoft 365 finance teams |
Trial | From $30/user/month |
|
IBM watsonx Assistant |
Financial customer support | Lite Plan |
Custom |
|
UiPath |
Finance workflow automation | Free Trial | Custom |
|
Salesforce Agentforce |
Financial services CRM | Trial |
Custom |
|
Kore.ai |
Banking virtual assistants | Demo | Custom |
|
Amelia |
Enterprise financial support | Demo |
Custom |
|
Yellow.ai |
Omnichannel financial services | Trial |
Custom |
1. Microsoft Copilot
I found Microsoft Copilot helpful for preparing financial statements, writing emails, analyzing spreadsheets, and creating presentations without leaving Microsoft 365. It will not substitute for financial expertise, but it definitely eliminates the repetition in tasks that take most of the working day. For companies already using Microsoft’s ecosystem, it’s one of the most practical AI agents for finance available today.
Strengths
- Deep Microsoft 365 integration
- Excel analysis and formula assistance
- Outlook email drafting
- Word document creation
- Teams meeting summaries
- Enterprise-grade security
Limitations
- Best experience requires Microsoft 365
- Premium features require paid licensing
Best For
Finance professionals, accountants, analysts, and enterprise teams.
Pricing
Microsoft 365 Copilot – From $30/user/month
2. IBM watsonx Assistant
What I like about IBM watsonx Assistant is its focus on providing secure and enterprise-level customer interactions, rather than being an all-purpose personal assistant. Customers looking for information about loans, banking solutions, or 24/7 support can benefit from automated interactions in the financial sector.
Strengths
- Enterprise-grade conversational AI
- Banking and financial services support
- Omnichannel deployment
- Natural language understanding
- Secure integrations
- Human agent handoff
Limitations
- Enterprise setup can take time
- Pricing isn’t publicly available
Best For
Banks, insurance companies, credit unions, and financial institutions.
Pricing
- Lite Plan – Free
- Enterprise – Custom pricing
3. UiPath
UiPath is one of those platforms that left me wondering, “Why are people doing this manually?” UiPath utilizes robotic process automation along with artificial intelligence to automate repetitive financial processes that would take your employees countless hours each week to complete.
If you have no intentions of creating a customer-oriented chatbot, but need to improve the efficiency of your team, then UiPath is one of the best AI agents for financial services.
Strengths
- Robotic process automation (RPA)
- Invoice processing
- Financial reconciliation
- Document understanding
- Workflow automation
- ERP integrations
Limitations
- Requires workflow planning
- Enterprise pricing
Best For
Accounting teams, finance operations, and enterprise automation.
Pricing
- Free Trial
- Enterprise – Custom pricing
4. Salesforce Agentforce
The Salesforce Agentforce helps through its provision of AI within the CRM itself, enabling the team to make quick responses, access customer data, and even automate some processes. The part I like about it is that it runs on Salesforce, meaning that employees won’t have to move around different platforms.
For businesses using Salesforce Financial Services Cloud, it’s just like an addition to what they have.
Strengths
- Salesforce CRM integration
- Customer service automation
- Workflow automation
- Case management
- Financial customer engagement
- Enterprise security
Limitations
- Best suited for Salesforce users
- Requires Salesforce ecosystem
Best For
Financial advisors, wealth management firms, and customer support teams.
Pricing
- Free Version
- Starts at $2 per conversation.
- $500 USD/ Per 100K Credits.
5. Kore.ai
Kore.ai is particularly helpful for banks and financial firms where there is a large number of customer requests daily. You can create a single virtual agent for all channels rather than creating separate bots for each channel. This solution also includes built-in use cases for banking, which would save time on developing these use cases if started from scratch.
Strengths
- Built for enterprise virtual assistants
- Omnichannel support (web, mobile, voice, messaging)
- Banking and financial service templates
- Natural language understanding
- CRM and core banking integrations
- Analytics and reporting dashboard
Limitations
- Better suited for medium and large organizations
- Custom pricing can be expensive for smaller businesses
Best For
Banks, insurance providers, fintech companies, and enterprise customer support teams.
Pricing
- Custom pricing (Contact Sales)
6. Amelia (by SoundHound AI)
Amelia focuses on handling more complex conversations while integrating with business systems behind the scenes. I was impressed by how well it manages multi-step requests, such as helping customers check account information or guiding them through loan and insurance processes. For financial organizations looking to improve customer experience without increasing support staff, Amelia is a strong enterprise option.
Strengths
- Human-like conversations
- Multi-step workflow automation
- Financial services automation
- CRM and ERP integrations
- Multilingual support
- Enterprise security and compliance
Limitations
- Enterprise-focused pricing
- Implementation may require technical support
Best For
Large financial institutions, insurance companies, and enterprises handling complex customer interactions.
Pricing
- Custom pricing (Contact Sales)
7. Yellow.ai
When your customers get in touch with you using WhatsApp, live chat, email, and voice, managing all these conversations manually is tough. This is where Yellow.ai comes into the picture. It impresses me by providing an opportunity to companies to create a single assistant that can be used on different channels without compromising on customer experience. It is particularly helpful for financial services providers who wish to automate certain tasks without compromising on customer service.
Strengths
- Omnichannel customer support
- Voice and chat automation
- Multilingual conversations
- CRM integrations
- Workflow automation
- Analytics and reporting
Limitations
- Advanced capabilities require enterprise plans
- Smaller businesses may not need all available features
Best For
- Banks, fintech startups, insurance providers, and customer service teams.
Pricing
- Free Trial Available
- Enterprise pricing on request
Wrapping It Up
After comparing these platforms, I don’t think there’s one winner for every finance team. The best choice depends on what you’re trying to improve.
Since you work with Microsoft 365, Microsoft Copilot is most likely the best starting point as it integrates seamlessly into your workflow. Should your use case be for customer support within banking and insurance firms, then IBM Watsonx Assistant and Kore.ai provide virtual assistants designed specifically for financial services companies. If what you are struggling with is back-office operations, I’d recommend looking at UiPath because workflow automation is where it is really good.
It is good that most of these tools have demo accounts or free trials available and allow users to find whether the tool will work for them or not.
