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AI Agent for Finance

AI Agent for Finance: How to Build AI Agents for Finance Use Cases

In this blog, we’ll show you how to build AI agents for finance, and how these agents can help you transform your workflows from invoicing to compliance without needing specialized coding expertise.

Arjun Angisetty AI in Finance | Arjun Angisetty
August 25, 2025
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TL;DR

For small, mid-sized and enterprise finance teams, the pressure to streamline operations while maintaining accuracy has never been more intense. Your teams are buried in repetitive tasks processing invoices, reconciling accounts, managing approvals, leaving little time for strategic decision-making. 

Let’s face it, traditional automation tools just don’t cut it anymore. They’re often siloed, complex to integrate, and don’t offer the intelligence your finance processes truly need. 

Additionally, if you’re relying on multiple disconnected tools to manage it all, you’re probably wasting time jumping between platforms and managing integrations that don’t quite mesh.

As finance teams scale, the cost of automation tools like Zapier can quickly add up, especially when you need more advanced features. On top of that, limitations like poor integration with tools like QuickBooks Desktop and the complexity of setting up advanced workflows can make it harder to streamline processes efficiently.

This is where AI agents can make a real difference. Instead of relying on fragmented systems that require constant oversight, AI agents can automate entire workflows, adapt to your specific needs, and improve both efficiency and accuracy. 

In this blog, we’ll show you how to build AI agents for finance, and how these agents can help you transform your workflows from invoicing to compliance without needing specialized coding expertise.

What Is an AI Agent for Finance?

An AI agent for finance is a sophisticated software solution designed to autonomously manage complex tasks, analyze data, and make decisions with minimal human intervention. These agents continually perform a three-step loop: sensing (gathering data), thinking (evaluating it), and acting (executing actions based on insights). They’re not just tools, they’re proactive systems that adapt in real-time to changes and handle intricate workflows seamlessly.

No-code AI agents enable finance teams to use the power of AI to write code, build and deploy AI agents that automate tasks, from data reconciliation to compliance checks, without technical expertise. 

Through visual workflows, AI agents can be integrated into existing financial systems like ERPs, CRMs, and analytics platforms, allowing organizations to unlock automation across departments swiftly and easily.

AI Agents vs. Traditional Bots and RPAs

Here’s how AI agents differ from the more common bots and RPAs (Robotic Process Automation tools) often used in finance

Feature

AI Agents

Traditional Bots/RPA

Intelligence

Autonomous, adaptive decision-making based on data analysis

Executes predefined rules, with no real-time adaptation

Flexibility

Can manage dynamic and complex workflows

Designed for repetitive tasks with rigid rules

Real-Time Adaptability

Learns and adjusts actions in response to changing conditions

Needs manual intervention for changes or exceptions

Integration

Seamlessly integrates across systems, enhancing business workflows

Typically tied to specific systems or tools


AI agents excel in autonomous decision-making and the flexibility required in dynamic financial environments, whereas traditional bots are limited by their rule-based nature and require manual adjustments for more complex tasks.

Related Read: How to Build No-Code AI Agents

High-Impact Use Cases of AI Agents in Finance

AI agents are already transforming financial operations by automating routine tasks and providing real-time insights. As their capabilities evolve, they’re taking on more complex roles, enabling finance teams to operate more efficiently and strategically. 

Below are some of the current and emerging use cases where AI agents are making a substantial impact:

Use Case

Description

Impact

Financial Process Automation

AI agents autonomously gather, reconcile, and summarize financial data, reducing manual effort

Significantly accelerates workflows, reduces errors, and frees finance teams for strategic insights

Enhanced Auditing

AI agents proactively identify financial irregularities, flag compliance issues, and enhance audit accuracy

Improves audit precision and reduces the risk of compliance failures

Real-Time Risk Monitoring

AI agents continuously monitor portfolios, alerting managers to performance and risk shifts

Enables proactive adjustments to manage financial risk and optimize returns

Personalized Wealth Advice

AI agents integrate client data with market insights, delivering tailored investment recommendations

Allows wealth managers to provide customized advice, improving client satisfaction

Goal-Oriented Planning

AI agents autonomously plan, prioritize, and execute complex financial tasks, anticipating steps and making decisions without human oversight

Frees finance professionals from constant intervention, driving efficiency

Agent-to-Agent Collaboration

AI agents collaborate across various finance functions (e.g., FP&A, treasury) to share insights and streamline operations

Enhances coordination and decision-making across departments, breaking down silos in finance workflows

Autonomous Data Preparation

AI agents gather, clean, and integrate data from multiple sources, streamlining financial reporting

Cuts down data prep time, improving the accuracy and speed of financial analysis

 
These emerging capabilities not only help automate repetitive tasks but also support proactive decision-making. AI agents are becoming more adept at handling real-time changes, collaborating with other systems, and offering insights tailored to specific financial goals, making them an invaluable tool for any finance team.

Top Finance Use Cases for AI Agents

AI-driven automation is revolutionizing finance workflows by transforming manual, time-consuming processes into streamlined, intelligent operations. 

Here’s a breakdown of how AI agents are optimizing key financial tasks:

AI driven finance Workflows

Invoicing and billing automation

Invoice reconciliation is a high-impact area where AI automation is truly making a difference. Traditionally, the process of three-way matching (purchase order, receipt, and invoice) requires tedious manual checks across multiple systems and document formats. With AI agents, this process becomes automated:

  • Data Extraction: AI agents can extract information from invoices, whether they’re PDFs, emails, or scanned documents, without human intervention.
  • Automated Matching: They match invoices with purchase orders and receipts across various systems and identify discrepancies.
  • Exception Routing: Any discrepancies or exceptions are routed to the appropriate reviewers for further action.
  • Automated Payments: Once all conditions are met, payments are processed automatically, cutting down on human errors and delays.

This results in faster, more accurate reconciliation, and reduced overhead for accounts payable teams.

Month-End Close Automation

The month-end close process is typically one of the most time-consuming tasks for finance teams. It involves journal entries, account reconciliations, and report generation, all of which are manual and prone to errors. AI agents automate and streamline these processes:

  • Automated Journal Entries: AI agents automatically process standard journal entries based on predefined rules.
  • Smart Reconciliation: Intelligent matching algorithms reconcile accounts more efficiently, ensuring accuracy in a fraction of the time.
  • Automated Report Generation: AI generates comprehensive, standardized reports across data sources, minimizing human input and speeding up the reporting process.
  • Transaction Flagging: The system can flag unusual transactions for review, ensuring that nothing is overlooked.

With AI-driven month-end close automation, finance teams can dramatically reduce the time spent on reconciliations, leading to faster and more accurate financial statements.

Financial Reporting & Variance Analysis

Manual data compilation for financial reporting can lead to errors and delays, impacting decision-making. AI agents transform this by:

  • Automated Data Ingestion & Classification: AI agents pull in transaction data, categorize it, and prepare it for reporting, eliminating manual entry errors.
  • Real-Time Reporting: Instead of waiting weeks for data analysis, finance teams get immediate access to performance metrics. They can drill down into specific departments or cost centers for deeper insights.

For example, a global telecommunications provider reduced the time spent preparing quarterly variance reports from 14 days to just 48 hours. With AI handling the heavy lifting, processing millions of transactions across multiple business units, the finance team could focus on strategic analysis instead of manual tasks.

Approvals & Exception Handling

AI agents also optimize approval workflows, which are often bottlenecked by slow, manual processes. Here’s how AI agents improve this area:

  • Intelligent Routing: AI agents route approvals based on transaction amounts, categories, and pre-set approval hierarchies, eliminating the need for email or paper-based routing.
  • Automated Notifications: Overdue approvals trigger automatic notifications and escalation.
  • Exception Handling: Unusual transactions are flagged for manual review, ensuring that no critical issue is missed.
  • Approval Tracking: With complete audit trails, AI agents ensure compliance and provide transparency for all approval processes.

By automating and streamlining approval workflows, organizations can accelerate decision-making and minimize bottlenecks.

Audit Trails & Documentation

AI agents are instrumental in maintaining accurate, comprehensive audit trails. They automatically document every action taken during financial processes, ensuring full transparency. This is crucial for both compliance and regulatory purposes:

  • Automated Logging: Every action performed during financial transactions is automatically logged, creating an immutable audit trail.
  • Compliance: The AI system ensures that all actions comply with internal and external regulations, making it easier to prepare for audits.
  • Proactive Monitoring: AI agents flag any discrepancies or anomalies, which ensures real-time updates to financial documentation.

This automation reduces the risk of human error and simplifies the audit process by maintaining a detailed, traceable record of all financial activities.

How to Build AI Agents for Finance Without Coding

The idea of integrating AI into finance operations may sound daunting, especially when you’re not working with a development team. Fortunately, no-code platforms like Odin AI make it easy to build and deploy AI agents without writing a single line of code. Here’s a practical guide to getting started with automation in your finance workflows:

1. Audit Your Existing Finance Processes

Before diving into automation, you first need a clear understanding of your current workflows. Conducting a thorough audit will help you pinpoint where AI agents can make the biggest impact.

  • Process Mapping: Document your finance processes—everything from invoicing to approvals and month-end reconciliation. Map out the steps, approvals, and systems involved, highlighting where delays and bottlenecks occur.
  • Time & Error Assessment: Measure how much time each process takes and assess historical error rates. Look for areas with high manual workloads or frequent mistakes, as these are prime candidates for automation.
  • System Integration: Review your existing systems like QuickBooks, Excel, and CRMs, ensuring you understand how data flows between them. This will help you choose the right platform to integrate your finance tools seamlessly.

2. Choose the Right No-Code AI Platform

Once you’ve audited your processes, selecting the right no-code AI platform is the next critical step. The ideal platform should:

  • Support Key AI Capabilities: Ensure the platform can handle intelligent data extraction, document processing, and machine learning for better accuracy over time.
  • Offer Seamless Integrations: Your platform should easily integrate with existing finance systems, including QuickBooks, Excel, and CRMs. The more integrations, the more flexibility you’ll have.
  • Be No-Code: Look for platforms with a drag-and-drop interface that allows non-technical finance users to configure and manage workflows themselves.
  • Security & Compliance: Since finance data is sensitive, make sure the platform meets industry security standards (SOC 2, GDPR, etc.) to protect your business and customers.
  • Scale with Your Needs: As your business grows, so should your automation capabilities. Pick a platform that can scale with your transaction volume and handle future growth.

Platforms like Odin AI offer these essential features and are proven to help companies automate finance tasks without needing a technical team.

3. Build and Deploy Your First Finance Agent

To get started, select a low-complexity use case that will demonstrate the value of automation right away. Here’s how to do it:

  • Pilot Selection: Begin with a simple yet impactful task like automating invoice approvals or expense approvals. These processes are well-defined, have clear inputs and outputs, and can easily be automated with no-code tools.
  • Configuration: Use Odin’s no-code interface to configure your AI agent. Define rules for data extraction (e.g., from invoices), set approval workflows, and create exception handling processes (e.g., routing discrepancies to the appropriate reviewer).
  • Testing: Run the AI agent in parallel with your existing manual processes to ensure it’s working as expected. Adjust the configuration based on performance.
  • Gradual Rollout: Start small, testing within one department or process before scaling across the entire finance function.
  • User Training: Make sure your finance team understands how to monitor the AI agent’s performance, troubleshoot minor issues, and handle exceptions when necessary.

4. Measure and Optimize Performance

The real power of AI agents comes through continuous optimization. Track performance and make adjustments to ensure maximum efficiency.

  • Key Performance Indicators (KPIs):
    • Time Saved: Measure how much time is saved per transaction compared to manual processes.
    • Error Reduction: Track improvements in accuracy and reduced error rates from manual handling.
    • Cost Savings: Estimate how much you’re saving by reducing manual effort and eliminating the need for multiple systems.
    • User Satisfaction: Get feedback from your finance team on how well the automation is performing and where improvements could be made.
  • Continuous Optimization: Set regular reviews to identify areas for improvement. AI agents improve over time, so keep refining them with feedback and corrections.
  • Expansion: Once you’ve proven success with your pilot project, you can start looking at more complex tasks for automation, gradually expanding your AI agent’s role across finance operations.

Automating Invoice Approvals with Odin AI

Automating Invoice Approvals with Odin AI

Automating invoice approvals is a game-changer for finance teams looking to streamline processes, reduce manual errors, and improve efficiency. Odin AI makes this process simple and efficient with its no-code platform, which integrates seamlessly with your existing finance tools like QuickBooks, Excel, and CRMs. Here’s how you can automate invoice approvals step by step using Odin Automator, Smart Tables, and Odin’s Chatbot Builder.

1. Map Your Current Invoice Approval Process

Before automating, it’s important to understand how your current invoice approval workflow works. Document every step involved, including:

  • Receiving invoices from vendors (via email, PDF, etc.).
  • Matching invoices to purchase orders and receipts stored in QuickBooks or Excel.
  • Approving invoices either manually or through email chains.
  • Processing payments once invoices are approved.

Identifying inefficiencies and bottlenecks will help you pinpoint exactly where automation can save time and reduce errors.

2. Set Up Your Odin AI Agent

Now, it’s time to configure your AI agent using Odin’s powerful tools:

  • Odin Automator: With this tool, you can easily automate the entire invoice approval process without any coding. Begin by setting up a workflow where invoices are automatically extracted using Odin’s document parsing capabilities. The system can handle various formats, including PDFs and scanned documents, extracting key details like vendor names, invoice numbers, amounts, and due dates.
  • Smart Tables: Once the data is extracted, Odin’s Smart Tables come into play. They help you organize and match the extracted data with your existing systems like QuickBooks and Excel. For example, invoices can be matched with purchase orders to verify that the amounts and vendors align. If discrepancies are detected, the data is flagged and automatically routed to the appropriate reviewer for further inspection.
  • Approval Workflow: Set up a fully automated approval process. Using Odin Automator, you can define approval rules, such as routing invoices over a certain value to senior managers for approval. Once invoices are matched and verified, Odin AI can automatically send approval notifications to the right stakeholders, speeding up the process and reducing delays.
  • Exception Handling: For invoices with discrepancies (e.g., unmatched amounts or missing vendor details), Odin’s Chatbot Builder can notify the relevant team members and request additional details or corrections. The chatbot can act as an intermediary, enabling users to quickly resolve issues through a conversational interface.

3. Test and Monitor the AI Agent

Once you’ve configured the invoice approval automation, it’s time to test it. Here’s what to check:

  • Accuracy of Data Extraction: Ensure Odin’s document parsing accurately extracts the relevant invoice data, regardless of the format (PDF, email, or scanned).
  • Matching Process: Verify that invoices are correctly matched with purchase orders and receipts in your finance systems.
  • Approval Workflow: Check that invoices are routed to the right approvers based on your rules and that automated notifications are sent promptly.
  • Exception Handling: Test how well the AI agent handles discrepancies and routes them for manual review if necessary.

Monitor these steps in real-time to make adjustments as needed.

4. Gradual Rollout and User Training

Start by rolling out the automated invoice approval process in one department or for a specific type of invoice. This controlled rollout allows you to iron out any issues before expanding the automation across your entire organization.

  • User Training: Train your finance team to use the system and monitor the AI agent’s performance. They should know how to interact with Odin’s Chatbot Builder for handling exceptions, troubleshooting issues, and ensuring the process runs smoothly.

As the system proves its value, expand the automation to other departments or invoice types, scaling the solution as needed.

5. Measure and Optimize Performance

After implementing the AI-driven invoice approval process, continuously track performance to ensure it meets your goals. Key metrics to monitor include:

  • Time Saved: Measure how much time the automation is saving compared to the manual process.
  • Error Reduction: Track the accuracy of data extraction and matching, and how much error reduction has occurred in invoice approvals.
  • Cost Savings: Estimate how much money you’re saving by reducing manual effort and consolidating systems.
  • User Satisfaction: Collect feedback from your finance team to identify areas of improvement and ensure the system is providing value.

Regularly review the AI agent’s performance, and use feedback to make adjustments and improvements. The more you fine-tune the system, the more efficient and accurate it will become.

Real Finance Teams Using Odin AI

These examples below demonstrate how Odin AI has enabled finance teams to automate tedious, error-prone tasks, leading to faster processes, greater accuracy, and improved productivity across industries.

Organization

Challenge

Solution

Impact

Global Telecom Firm

Manual and slow quarterly variance reporting across 18 countries, 540 million customers.

Automated data ingestion, anomaly detection, and reporting with Odin AI’s Finance Agent.

Report generation time reduced from 14 days to under 48 hours; 1,400+ human hours saved per quarter.

Manufacturing Giant

High-volume manual processing of 140,000 invoices annually across 100+ countries.

Automated document processing, validation, and ERP synchronization using Odin AI workflows.

140,000 invoices processed annually; 25% boost in processing speed and team productivity.

Medical Services Firm

Manual, time-consuming processing of over 824,000 invoices annually across 50 countries.

Intelligent automation solution combining AI, machine learning, and robotic workflows to process invoices.

70% reduction in invoice processing time; 53% of invoices processed without human error.

Disclaimer: Odin AI cannot reveal the name of the organization due to compliance and confidentiality requirements.

Odin AI vs. Zapier + Airtable + ChatGPT Stack: 

Imagine trying to run a marathon while carrying a bag of tools each one meant to solve a specific problem, but none of them designed to work together. That’s what it’s like trying to automate finance workflows with Zapier, Airtable, and ChatGPT. Odin AI, on the other hand, is a single, unified platform built for seamless automation.

Let’s explore why Odin AI is the all-in-one solution that Zapier, Airtable, and ChatGPT wish they could be when it comes to streamlining finance operations.

Criteria

Odin AI

Zapier + Airtable + ChatGPT Stack

Integration

One unified platform with seamless integrations

Multiple tools that require complex, manual integrations

Cost

$25 per seat per month

$90+/month per seat with multiple subscriptions

Ease of Use

No-code platform, easy to implement

Requires technical expertise and setup time

Scalability

Effortless scaling with growing needs

Complex and costly to scale as needs grow

Time-to-Value

Results in days, fast deployment

Weeks to months for full deployment

Maintenance

Low, all-in-one solution

High, managing multiple platforms and integrations

The Toolset Dilemma: A Stack vs. One Powerful Platform

  • Zapier + Airtable + ChatGPT Stack: Zapier lets you connect apps, Airtable helps organize data, and ChatGPT handles some customer interaction tasks. But when it comes to finance, this “toolset” requires a lot of manual integration, creating more friction and leaving gaps in your workflow. You might end up spending more time managing the tools than the actual tasks they were meant to automate.
  • Odin AI: Odin AI brings all the capabilities you need for finance automation into a single platform. No more juggling between different tools or manually connecting disparate systems. Odin AI integrates seamlessly with your finance tools (QuickBooks, Excel, CRMs) and handles workflows end-to-end without the need for coding.

 Cost and Complexity: More Tools, More Chaos

Zapier + Airtable + ChatGPT Stack: At first glance, using separate tools like Zapier, Airtable, and ChatGPT might seem cheap, but the costs quickly add up. You’re paying for multiple subscriptions, and if you need advanced features, you’re likely looking at $90+/month per seat. Add to that the time spent on integrating and managing these tools, and you’ll see why your total cost of ownership (TCO) is far higher than it seems.

Odin AI Agent Pricing

  • Odin AI: For just $25 per seat per month, you get a comprehensive suite of features that covers everything from intelligent automation to document processing and workflow management. 

    Odin AI takes the hassle out of managing multiple subscriptions and tools. Instead of dealing with separate payments, upgrades, and endless integrations, you get one platform to rule them all, an easy, scalable solution that grows with your business.

Time-to-Value: Fast vs. Forever

  • Zapier + Airtable + ChatGPT Stack: Setting up Zapier to connect apps, configuring Airtable to organize data, and integrating ChatGPT for interactions can take weeks, maybe even months depending on your workflow’s complexity. Then, once you have everything set up, you’ll probably need to troubleshoot and refine processes as you scale. That means slow time-to-value, especially if your finance team isn’t tech-savvy.
  • Odin AI: With Odin AI, you can automate finance workflows in a matter of days, not weeks or months. The platform’s no-code interface means that even a non-technical finance team can quickly deploy automation. From invoice approvals to data extraction, you’ll see measurable results faster, allowing your team to move on to more strategic tasks.

 Scalability: Growing Pains vs. Effortless Expansion

  • Zapier + Airtable + ChatGPT Stack: As your business grows and your workflows get more complex, scaling your Zapier + Airtable + ChatGPT stack becomes a headache. Each new process requires more tools, custom integrations, and constant management. Plus, as your team adds more users, you’ll find the costs scaling faster than you expected.
  • Odin AI: Odin AI handles scaling effortlessly. Whether you’re processing a few invoices or managing a global financial workflow, Odin AI adapts to your growing needs. The platform’s robust architecture ensures that as your transaction volumes rise, the system remains fast, efficient, and cost-effective. You won’t need to worry about “outgrowing” the platform it grows with you.

Supercharge Your Finance Operations with AI Agents Today!

Finance teams have enough on their plate without juggling multiple tools, complex workflows, and endless manual tasks. Why settle for a collection of disconnected tools when you can have an all-in-one platform that automates, adapts, and scales with your business?  What if you could automate all of that, with AI agents that handle the heavy lifting? 

Odin AI is your solution. It’s not just about speeding up processes; it’s about empowering your finance team with smart, autonomous agents that can take over everything from invoice approvals to reconciliation and financial reporting.

With Odin AI, you get AI agents that do the work for you, leaving your team free to focus on more strategic tasks.

Start today with a free trial to see how our AI-powered finance agents can transform your workflows. When you’re ready to scale, upgrade for just $25/month and unlock the full potential of automated finance operations.

Ready to future-proof your finance operations? Book a demo

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