Financial teams are facing a massive shift in how they handle their accounts receivable. And the numbers show why — the AR automation market is heading toward $8.8 billion by 2030, growing at nearly 13% annually. But for many companies, the thought of implementing AI brings up concerns about complex system overhauls and operational disruptions.

Here's some good news: you don't need to rebuild your entire financial infrastructure to bring AI into your AR processes. Fazeshift has developed an approach that works with your existing systems — whether you're using Salesforce, NetSuite, or other platforms. Their technology adapts to how your team already works, instead of forcing you to change everything.

What makes this work? Fazeshift's AI solution fits right into your current setup, automating invoice generation, payment matching, and collections. You get better visibility into your financial workflows and faster processing times, while your team keeps working with the tools they know well.

The market is taking notice. Fazeshift recently secured a $4M Seed Round, showing strong confidence in their practical approach to AR automation. This funding will help bring their adaptive AI technology to more finance teams worldwide.

So if you're wondering how to modernize your AR processes without turning your operations upside down, you'll want to read on. We'll show you exactly how companies are adding AI capabilities to their existing systems — and getting results fast.

When finance teams talk about AI in accounts receivable, they're talking about something that works alongside their existing processes to make them better and faster. Think of it as a really smart assistant who's great with numbers and never gets tired.

Machine learning, a key part of AI technology, looks at your payment history and starts to understand patterns. It can tell you which customers tend to pay early, which might need a gentle reminder, and when you should probably give them a call. But the really interesting part? It keeps getting better at this over time.

The automation side of AI handles those time-consuming daily tasks that your team probably doesn't love doing. Converting contracts into invoices, checking if payments match up with what's expected, sending out reminders — AI can do all of this while your team focuses on more important work that needs a human touch.

And speaking of reminders, proactive AI payment reminders have changed how collection teams work. The system knows the perfect time to send a follow-up and can even adjust its approach based on each customer's payment history. Your team can step in when needed, but they don't have to watch every account like a hawk anymore.

What does this mean for your day-to-day operations? Well, you'll see fewer mistakes in your invoices, get paid faster, and spend way less time chasing payments. Your finance team can actually work on growing the business instead of being stuck doing manual data entry all day.

By adding AI to your AR processes, you're making your whole financial system work better — and you don't need to throw out what's already working. It's about making good processes great, and tough processes manageable.

The Real Benefits of AI in Accounts Receivable

AI is transforming how businesses handle their A/R turnover, and the results are pretty impressive. While only 17% of small firms are currently using AR automation, those who do are seeing some great outcomes. Let's look at what actually happens when companies add AI to their AR processes.

Better Efficiency, Fewer Mistakes

When you automate invoicing and collections, you'll see fewer mistakes and way less back-and-forth about invoice details. Your team can process invoices faster and spend more time on work that matters. And here's something interesting — companies that use automation can cut their Days Sales Outstanding by up to 32%.

Faster Cash Flow

The right AI tools can speed up how quickly you get paid through smart payment reminders and follow-ups. When you're looking for tips for improving AR collection periods, automation is a good place to start.

Happier Customers

But maybe the most surprising benefit is how it affects customer relationships. A recent study found that 84% of finance leaders say customer experience is crucial in AR processes. When your AR team isn't stuck doing paperwork all day, they can actually talk to customers and solve real problems.

And all of this happens without throwing away your current systems. You're adding AI capabilities to what you already have, making your processes work better. 52% of organizations strongly agree that going digital with AR is key to reaching their peak performance — and with today's AI tools, it's easier than you might think.

What to Handle Before Adding AI to Your AR Process

Before jumping into AI for accounts receivable, there are some important areas you'll want to get right. Taking care of these upfront will save you a lot of headaches later on.

Data Quality Matters

Your AI system will only be as good as the data you give it. If you're feeding it inaccurate or incomplete information, you might end up with wrong insights about your receivables. A good first step is setting up regular data checks and making sure everyone on your team knows how to input information correctly. This will help your automation run smoothly from day one.

Privacy Is Non-Negotiable

When you're dealing with financial information, privacy becomes really important. And customers care about this — 94% of organizations say their customers won't do business with them if they don't protect data properly. You'll need solid privacy policies that follow regulations like GDPR and CCPA. It's also worth training your team on how to handle sensitive information.

Security Comes First

Financial data is a prime target for cyber attacks, so you'll want strong security measures in place. This means setting up good access controls so only the right people can get to sensitive information. Think of it like layers — you want multiple levels of protection, from basic firewalls to more advanced security systems that can spot unusual activity.

Getting these basics right will make your move to AI-powered AR much smoother. When you have clean data, strong privacy practices, and good security in place, you can focus on what really matters — using AI to improve how your team works. And your customers will feel better knowing their information is in good hands.

The Real Challenges of Adding AI to Your Current AR Setup

Let's talk about what might slow you down when you're adding AI to your existing AR systems. It's worth noting that only 12% of companies say their data is ready for AI implementation. Fazeshift offers a custom development approach and with that, these challenges are solvable without overhauling your entire system.

The Main Technical Hurdles

1. Data that's stuck in different places and won't talk to each other
2. Old systems that might not play well with new AI tools
3. Team members who are comfortable with their current way of doing things

How to Handle These Challenges

• Start with a thorough check of your current systems — you'll want to know exactly what you're working with
• Get your team involved early with good training and clear communication
• Look for AI solutions that can work alongside your existing setup without major changes

Staying Within the Rules

Compliance is another big piece of the puzzle. You'll need to know which regulations apply to your industry and how they affect your AI implementation. This means putting strong data protection measures in place and checking regularly to make sure you're still following all the rules as they change.

What's Working Well

Fazeshift succeeds with AI integration because we take it step by step. We start by fixing any data quality issues, then move on to connecting different systems. Our custom development approach means we adapt our AI solution to work with your processes, instead of the other way around.

The goal here isn't to change everything at once. Instead, Fazeshift helps you add AI capabilities that make your current system work better. When you work with us, you can avoid many of the common problems that come with big technology changes because we build the solution around your needs.

How Fazeshift Makes AI Implementation Work

When companies want to add AI to their AR processes, they often worry about disrupting their current operations. Here's how Fazeshift takes a different approach, making the whole process smoother and faster.

Understanding Your Needs First

Before writing any code, Fazeshift team looks at how your team works. Every business has its own way of handling AR — maybe you're using Salesforce, NetSuite, or a mix of different tools. Our team takes time to understand your specific workflows, so we can build something that fits right in.

Smart Planning Makes Implementation Easy

We've refined our process to get you up and running in about a month. Here's what makes it work:

1. We map out your current systems and identify the best connection points
2. Our team creates a custom plan that works around your schedule
3. We test everything thoroughly before going live
4. Your team gets training while the system is being set up

Getting Results Without the Hassle

You'll start seeing improvements quickly because:

• Your team keeps using the tools they know
• The AI learns your specific billing patterns
• You don't have to change your existing workflows
• Support is always there when you need it

Ready to See How It Works?

If you're looking to improve your AR processes without turning everything upside down, we should talk. Book a demo and we'll show you exactly how we can adapt our AI to work with your current setup. Your team could be working smarter in just a few weeks.