AI in Fintech or: How I Learned to Stop Worrying and Love AP Automation and ChatGPT

Gina Armada, Dan Ward, and Ira Brooker    August 11th, 2023

No matter where you look, artificial intelligence (AI) is the hottest topic of our times. Businesses in the financial sector have been exploring the benefits and challenges of integrating AI into their systems for years, and those opportunities have only grown with the recent swell in interest in AI systems such as ChatGPT.

The FinTech industry includes a lot of routine processes and repetitive tasks such as data entry and payment processing. Automating those functions allows a financial team to save substantial time and money while also sharply reducing errors and compliance issues. By providing businesses with a lower-cost option for fraud prevention and cybersecurity that also elevates customer service, AI has established itself as a major presence in financial tech for the foreseeable future. That’s cause for excitement in many respects, but it’s also a source of fear and confusion for many in the industry who worry about potential job loss and other perceived pitfalls of artificial intelligence.

In a recent webinar presented by MHC titled “Managing your FinTech Fear: The Future of Automation, AI, ChatGPT,” Ernie Humphrey of Treasury Webinars and Adam Shilton of Tech for Finance address those concerns while providing insights into the many ways financial companies can use AI to alleviate those fear. For this article, we’ve pulled from their webinar and other expert thought leaders to provide a fuller picture of the future of FinTech, AI, and ChatGPT — as well as the present.

Fear of AI in FinTech

Any transformative new technology is bound to raise questions and concerns from the sectors it will impact directly. The rise of AI has generated even more fear than most technological shifts, as many workers worry that its capabilities will make their jobs obsolete. There are legitimate concerns here. AI is poised to alter the FinTech landscape in some profound ways. Still, most experts agree that many of the most frequently expressed concerns are rooted in an incomplete understanding of what artificial intelligence actually does in the financial space.

Specific fears around AI vary depending on the industry and roles of the impacted workers, but some common areas of concern include:

  • Job disruption: As routine tasks such as data entry and document routing are increasingly handled via automation and AI, some workers worry that their jobs will be eliminated or profoundly altered.
  • Compliance issues: Regulatory compliance is a major concern in the financial tech industry. Some experts worry that an AI may ignore or misinterpret compliance requirements if it isn’t given proper instruction.
  • Data security: FinTech businesses frequently deal with sensitive personal information that makes an appealing target for cybercriminals. Some security experts worry that a new technology like an AI may not provide adequate security for that data.
  • Algorithmic bias: Algorithms are built to learn, but they can only learn from the data sets they’re given. Without proper data management, that could lead to flawed credit assessments, unintentional discrimination, and other FinTech pitfalls.
  • Complex systems: An AI can simplify a lot of tasks, but it still needs someone who knows how to tell it what to do. Managing and training a complicated artificial intelligence system require some technical knowledge that some FinTech workers may lack.

While all of these ethical, technical, and employment-related concerns are valid, it remains a fact that artificial intelligence is going to be a part of the workplace in the near future. FinTech success in the coming years will involve learning how to work along with AI and use it to enhance your performance.

FinTech and Artificial Intelligence FAQ

We asked attendees of the abovementioned webinar what questions they had surrounding artificial intelligence and financial tech. Here are a few answers from our industry experts. 

Probably not any time soon. Surveys show that accounts payable, accounts receivable, and treasury departments have overwhelmingly either added jobs or kept them at a steady level in 2023, even as the use of AI and automation has risen sharply.

The goal of technology is to repurpose people and resources in order to produce the most value possible. Adoption of artificial intelligence will lead to shifts and improvements in a number of professions, but it is highly unlikely that it will eliminate them.

As the use of AI becomes more widespread, employees who know how to work along with it and use AI to enhance their roles will be in increasing demand. Being up to date on the latest technology will be a highly desirable advantage for the foreseeable future.

We let ChatGPT field answers about itself from our webinar audience. Here’s what an artificial intelligence has to say about artificial intelligence. 

Chat GPT

Determine your AI learning goals, grasp basics like AI concepts and programming (Python), delve into machine learning algorithms, explore deep learning and its applications, understand data preprocessing and model evaluation, address AI ethics and bias, engage in hands-on projects, and stay updated through networking and continued learning. Tailor your AI knowledge to match your objectives, whether it’s a foundational understanding or specialization in specific AI domains.

Empower your team through tech by assessing needs, providing relevant tools for communication, project management, and skill development. Foster a learning culture by offering online courses and resources. Utilize data analytics for informed decision-making, enhancing productivity. Embrace remote work options, ensuring flexibility. Encourage innovation through brainstorming and collaboration platforms. Regularly gather feedback to refine tech strategies.

Stay updated by subscribing to tech news, blogs, and podcasts. Join online communities and attend conferences. Continuously learn new languages, frameworks, and tools. Engage in personal tech projects to apply knowledge practically. Collaborate with tech experts, seeking mentorship and feedback. Embrace challenges and problem-solving to refine skills. Adapt to industry trends and explore emerging technologies.

Views on AI in FinTech from Thought Leaders


Artificial intelligence is still a developing technology, with new policies and best practices being formed around it by the day. Getting a complete picture requires getting a variety of viewpoints from experts who really know their stuff. For some deeper takes on the state of AI in financial tech, let’s tap into some thought leaders with extensive experience on both sides of that coin.

The Future of Automation, AI, ChatGPT_ErnieH HeadshotMy view is that a lot of this generative technology like ChatGPT is going to be embedded in the solutions that you see. You’re not going to have to worry about it. We’re already seeing the tip of that spear in accounts payable, from what I understand. I think over the next couple of years, you should know about it, but it’s going to be embedded into the software.

It’s incredibly important that we have the right automation and visibility and tools to collaborate, because more is expected of us. We’re going to have more to do in terms of our processing and complexity, and on the back side, improving supplier relationships and taking more control over how and when we make payments. We have increased responsibilities for invoice processes. The bar is higher not only in what we consider standard operations, but also in terms of the strategic knowledge that people are expecting from us.

Ernie Humphrey, Co-Founder of Treasury Webinars 

The Future of Automation, AI, ChatGPT_AdamS HeadshotWe always need to be mindful that we’ve got the right people doing the right things. The worst of what I’m seeing at the moment is people just moving around. The whole point of technology is that we can shift to focusing on the stuff that produces the most value possible. Since the beginning of time, the whole premise of tech is not to have to let people go, but to repurpose people so that they can do better things.

Think about timing, think about the challenges. Think about the use cases and go from there. We don’t want to implement technology for technology’s sake. We want to make sure that there’s a use case, there is an ROI. It starts with baby steps, right? Focus on the low-hanging fruit and the quick wins before you get too complicated.

Adam Shilton, Co-Founder of Tech for Finance

Simply put, automation is the key to an agile and scalable AP automation operation. As technology advances, finance leadership will further understand the importance of investing in a solution that allows their AP team to go from transactional to strategic.

Cloud-native SaaS solutions are the future. Remote employees, global teams, and time zone differences make on-premises platforms more difficult to manage effectively. Enhance the ability for your teams to collaborate with platforms that give them access to documents and communications from anywhere on the planet.

Automation, in its many forms, is undeniably the foundation to enable successful communication in 2022 and beyond. At MHC, we believe the organizations that leverage flexible, scalable and reliable automation functionality to engage in tailored, one-to-one customer communications will quickly leapfrog their competition.

Gina Armada, Chief Executive Officer of MHC

Beyond MHC’s current support of machine learning (ML)-based intelligent document extraction capabilities, we see additional opportunities to leverage machine learning (ML), generative AI, and general AI-based optimization techniques to deliver additional value to end users and customers.

Scope areas of highest interest will support optimized task management, system-assisted user prompts, template rationalization and auto-generation, enhanced analytics and advanced document and data capture. MHC’s approach is to prioritize the infusion of AI in our product roadmap based on the highest ROI for our customers and their users by addressing very specific use cases.

Dan Ward, Chief Technology Officer for MHC

AI will fundamentally enhance and change the financial industry landscape by revolutionizing how organizations seamlessly automate integrating data-driven insights, in turn providing leaders with instantaneous data to drive change, boost efficiency, manage risk, and deliver customized solutions.

Aaron Stenhaug, Chief Financial Officer for MHC

We asked ChatGPT for a short summary of the ways it might benefit businesses in the FinTech industry. Here’s what it had to say for itself:

“  AI plays a transformative role in the FinTech industry by revolutionizing financial services and customer experiences. Through machine learning, natural language processing, and data analytics, AI automates and optimizes various processes.

ChatGPT, notable artificial intelligence system

AI and FinTech Infographic

The rise of artificial intelligence in the financial tech industry is a big topic that covers a lot of ground. Our infographic breaks down some key concerns and important focal points in an easy-to-follow, shareable format.

AI-powered chatbots and virtual assistants improve customer service, providing real-time support and personalized interactions. Additionally, AI algorithms enhance fraud detection, mitigating risks and safeguarding financial assets.

Furthermore, AI enables personalized financial advice, analyzing individual data to offer tailored recommendations. In algorithmic trading, AI-driven models analyze market trends and data for optimized investment decisions. Moreover, AI aids in risk assessment and underwriting, facilitating faster and more accurate evaluations of loan applications and creditworthiness.

By efficiently processing and analyzing vast amounts of data, AI empowers FinTech companies with valuable insights for better decision-making. However, it also raises concerns about data privacy, ethical considerations, and potential job displacement, necessitating a balanced approach to harness the full potential of AI in FinTech.

ChatGPT, notable artificial intelligence system

Use Cases of Artificial Intelligence FinTech

What does it look like when a FinTech organization puts AI to work? Processes are sped up, errors are reduced, accuracy and compliance are elevated, and overall efficiency is increased. A few key areas where incorporating artificial intelligence can make an especially noticeable difference include:

Financial reporting

Timely and accurate reporting is a huge consideration in FinTech. Generating those reports involves pulling from massive repositories of financial data that can create a time-consuming and complicated job. AI algorithms allow a FinTech team to pull relevant data in a fraction of the time, as well as generating automatic reports that help your business identify patterns, maintain regulatory compliance, and highlight key data points that can inform future decisions.

Financial forecasts

Artificial intelligence can identify trends, changes, and anomalies in data patterns that would be far more difficult for humans to detect. That includes the key financial services function of analyzing unstructured data, a hugely time-consuming task when approached manually. The insights and analysis enabled by an automated AI system can be crucial for predicting short- and long-term financial trends, making sound investments, navigating exchange rates, and much more.

Fraud detection

We’re in a golden age of digital fraud, and FinTech makes a tempting target for all kinds of thieves. From bogus wire transfers to data breaches to falsified loan applications, the threat of fraud is never out of the picture. AI is able to automatically recognize patterns and provide immediate feedback on any unusual or suspicious activity, even for organizations that process high volumes of transactions. This provides an effective shield against many of the most common varieties of fraud, allowing your cybersecurity team to focus their efforts on more complex threats.

Data analysis

Tasks such as running risk assessments, underwriting loans, and tracking and analyzing the markets can be complex, tedious work. Using AI and automation takes those functions off of FinTech employees’ hands while also providing deeper insights, identifying more financial opportunities, and generating fewer errors than outmoded manual processes.

Robotic process automation (RPA) 

Some of the most important processes in FinTech are also among the most tedious. Taking back-end tasks such as running security checks, financing trade, closing accounts, onboarding customers, and answering routine questions off the plates of your financial staff can have a big impact on employee engagement and your overall efficiency. Robotic process automation (RPA) can handle those routine processes more quickly and accurately than humans can, helping your organization reduce employee burnout while boosting customer satisfaction.

Algorithmic trading 

When it comes to finance, the fact is that there is simply more data to process than can be reasonably handled by statistical modeling or human analysis. Entrusting trading to an AI-based algorithm allows for faster analysis and deeper insights that help even less financially savvy consumers identify trends and anomalies, make more informed decisions, and commit to trades that make the most sense for them.

Credit scoring, loan prediction, and risk assessment 

Creating a credit score requires a lot of data, and assembling that data requires a lot of time and expertise. Pulling together a customer’s credit history, income, work history, transaction history, and other key credit factors is not only serious work, it also comes with a high risk of error. AI can automatically pull from a large volume of data to assemble all of that data in a fraction of the time, with far less chance of avoidable mistakes. Being able to more quickly and accurately assess credit risks benefits both financial institutions and loan applicants.

“  These use cases demonstrate how AI has become a transformative force in fintech, revolutionizing the way financial services are delivered, improving efficiency, and enhancing customer experience while mitigating risks and ensuring regulatory compliance. As AI technology continues to evolve, it is expected to create even more innovative solutions and opportunities for the fintech industry.

ChatGPT, notable artificial intelligence system

When Not to Use AI in FinTech

There is always a risk that the initial excitement of new technology will lead users to overestimate its capabilities. As useful as AI is in many areas of FinTech, there are also a number of common situations where relying on AI tools may not be prudent. Those include:

  • Data is limited or flawed – By definition, the results an AI produces can only be as reliable as the data it has to work with. If there is a low quality or quantity of data in a certain area, an AI algorithm will perform accordingly and may end up producing incomplete or even incorrect results.
  • Expense concerns – While AI is a reasonable and even necessary investment for many organizations, it can also be a costly one. Smaller-scale operations and organizations with limited budgets will want to weigh the potential ROI of any AI solution and scale their expectations accordingly.
  • Limited technical expertise – No technology is useful if your team doesn’t know how to use it. Implementing, deploying, and maintaining AI solutions requires a certain level of domain expertise to ensure that the tech is being used effectively and responsible. If your organization lacks that expertise, it may be worthwhile to bring in a third party before relying too heavily on AI.
  • Simple and repetitive tasks – As the saying goes, if it isn’t broke, don’t fix it. While automating tedious and repetitive tasks is generally a good idea, in many cases these functions can be handled by less-sophisticated rule-based tools that don’t require the power of an AI algorithm.

The Future of Automation, AI, ChatGPT_AdamS HeadshotWe always need to be mindful that we’ve got the right people doing the right things. The worst of what I’m seeing at the moment is people just moving around. The whole point of technology is that we can shift to focusing on the stuff that produces the most value possible. Since the beginning of time, the whole premise of tech is not to have to let people go, but to repurpose people so that they can do better things.

Think about timing, think about the challenges. Think about the use cases and go from there. We don’t want to implement technology for technology’s sake. We want to make sure that there’s a use case, there is an ROI. It starts with baby steps, right? Focus on the low-hanging fruit and the quick wins before you get too complicated.

Adam Shilton, Co-Founder of Tech for Finance

We asked ChatGPT to make a case against itself by providing us with some instances where it might not be advisable for a FinTech company to employ AI. Here’s some of what it had to say:

  • Regulation and Compliance – The financial industry is heavily regulated, and using AI in certain areas may pose challenges in meeting compliance and regulatory requirements. For instance, explainability of AI models may be necessary for certain use cases to understand how decisions are made, which can be difficult with some AI algorithms.
  • Security and Privacy Concerns – AI systems may raise security and privacy concerns, especially when handling sensitive financial data. Fintech companies must ensure robust security measures and compliance with privacy regulations to safeguard their customers’ data.
  • Ethical Considerations – Some AI applications might raise ethical dilemmas, such as biased decision-making or discriminatory outcomes. If the use of AI in a particular context could lead to ethical issues, the company should reconsider its implementation.

“  In summary, while AI offers substantial benefits in the fintech industry, it is essential to carefully evaluate the specific use case, available data, regulatory constraints, ethical considerations, and technical capabilities before deciding to implement AI solutions. Combining AI with human expertise and ensuring transparency and fairness are vital to maximize the benefits and mitigate potential risks in the fintech space.

ChatGPT, notable artificial intelligence system

Key AI Benefits for the FinTech Industry

There are many general advantages to incorporating more AI into your operations, but FinTech also has a lot of needs and considerations specific to the industry. A few key areas where artificial intelligence and automation can be especially usefull for financial companies include:

  • Enhanced security – AI can help boost protection for sensitive financial information by requiring additional layers of security such as speech recognition, fingerprint matching, facial scans, and other biometric security measures. That provides far stronger security than standard usernames and passwords.
  • Accurate investment predictions – While AI should never be the only factor involved in making investments, it can provide investors with unique, behavior-based predictions that offer deeper insights than previous methods. AI can evaluate unstructured financial data much more easily than manual evaluation, allowing businesses to incorporate consumer behavior, historical data, and other complex concepts into their investment decisions.
  • Automated data processing – Repetitive, tedious tasks such as data entry, data analysis, and invoice reconciliation are seldom favorite duties of financial professionals. In fact, they contribute directly to higher rates of human errors and employee burnout. Allowing AI to handle less engaging tasks like responding to frequently asked questions, sorting clients into categories, and entering data into standard forms can have a big impact on employee engagement and the speed and accuracy of your data processing.
  • More cost-saving – Manual and outdated processes simply require a lot more time and effort than automation, and that adds up to more expense. The more manual processes an organization entrusts to AI and automation, the easier it is to boost the speed and accuracy of your operations while also eliminating common opportunities for fraud and human errors.
  • Better customer service – When customers have questions about their finances, patience is seldom their strongest virtue. Integrating artificial intelligence tools such as chatbots and virtual assistants into your customer service experience is an effective way to keep your expertise available to customers 24 hours a day. Even better, automating these functions makes it easier to analyze data and draw helpful insights from customer interactions.
  • User behavior analysis – Most businesses have a good idea of how they would like their visitors to use the resources they provide, but that isn’t always how things work. AI and automation can provide real-time visibility into the ways your customers actually use your tools and services. Even if the available data isn’t the quality or size you might prefer, AI can fill in key gaps and provide a more robust and helpful picture of user behavior and how your business can best adapt to it.

“  It’s important to note that while ChatGPT offers many benefits, it should be implemented thoughtfully, considering data privacy and security concerns. Additionally, the AI model’s responses should be continuously monitored and refined to ensure accuracy and avoid any potential biases or misinformation. By leveraging ChatGPT’s natural language capabilities, fintech companies can create interactive and personalized experiences for their users, driving engagement and loyalty in the competitive financial services landscape.

ChatGPT, notable artificial intelligence system

How to Use ChatGPT for AP and Finance

We’ve covered a lot of broader options for incorporating AI into your FinTech business, but what about the biggest name in the industry? Integrating ChatGPT by OpenAI with your existing ERP and AP automation systems, your business can harness the latest technology and drive innovation by:

  • Creating a more interactive experience for finance customers – Providing live, one-on-one consultations and support for every customer is neither realistic nor cost-effective for most businesses. ChatGPT can step in with instant replies and a deep base of knowledge for a wide range of customer queries.
  • Offering more personalized and reliable customer support – ChatGPT uses natural language processing to address customer questions and concerns directly, 24 hours a day. In many cases, virtual financial advisors and chatbots can provide more personally tailored responses than existing customer service centers.
  • Managing high volumes of communications – No one likes sitting on hold waiting for customer service, or checking their inbox repeatedly hoping for an email reply. ChatGPT has the capacity to address even high volumes of customer inquiries all at the same time with no waiting. Not only does this make customers happy, it also gives your human team more time and bandwidth to focus on more engaging issues.

“  AI, specifically using ChatGPT, can offer valuable applications in the FinTech industry. ChatGPT, powered by natural language processing and generation capabilities, can be utilized in various ways to enhance customer experience, improve support services, and provide personalized financial advice.

ChatGPT, notable artificial intelligence system

AI Is More than ChatGPT

ChatGPT may be getting all of the headlines, but it’s far from the only exciting AI solution on the landscape. Varying degrees of AI and automation come into play in a wide range of FinTech processes. An AP automation solution such as MHC NorthStar simplifies your finance team’s jobs with tools designed to automate much of what Adam Shilton has dubbed his “AI Tools for Finance Pros Cheat Sheet.” That includes tools for:

  • Document and image management
  • Task management
  • Creating and delivering presentations
  • Developing spreadsheets
  • Streamlining research
  • Organizing meetings
  • “Soft skills” management
  • Email management
  • Data management

Fintech, AI, Automation and ChatGPT
The Future of Accounts Payable

There has been a lot of fear circulating around AI automation in general and ChatGPT in particular. The introduction of AI and RPA into financial tech has created some understandable concern about whether the finance jobs of today will still exist tomorrow. Those concerns run all the way from entry-level employees to CFOs and other executives.

While worries about any kind of transformative technology are perfectly understandable, AI should be looked at as a new and particularly useful tool for enhancing FinTech jobs, not a threat that will replace them. The opportunity to maximize ROI while also vastly improving the speed, accuracy, and visibility of regular accounts payable functions makes this a pivotal moment in the history of the FinTech industry. A few key areas that will continue to rise in importance in the near future include:

  • Advanced AI and machine learning: As AI technology advances, so will its capacity to recognize data patterns, extract relevant data, and identify errors and exceptions in financial documents.
  • Cognitive automation: Artificial intelligence, machine learning, and natural language processing come together in the cognitive automation process, further enhancing a system’s ability to automat its handling of complex data.
  • Real-time processing: The assistance of AI systems allows for faster-than-ever processing of invoices, payments, and financial documents. Real-time processing with high levels of accuracy can boost an organization’s productivity substantially.
  • ERP integration: As AI platforms become seamlessly integrated with existing financial systems and enterprises resource planning (ERP) solutions, processes will become more streamlined and less error-prone across your entire financial operation.
  • Data insights: AP automation working with AI tools can produce deeper, more useful insights into your system’s efficiency, cost-effectiveness, spending patterns, and much more.

Automation Use Cases in Accounts Payable

What does AP automation look like in the age of artificial intelligence? AI-assisted tools can impact nearly every corner of your operations, but these five areas will be of special interest to your accounts payable team.

Invoice Automation Icon

Invoice Automation

Invoice processing is a prime area for automation, especially for organizations that regularly deal with high volumes of invoices. Eliminating most human touch points during data entry and approval routing sharply reduces the risk of errors and exceptions. The deeper visibility and faster processing times that come with automating invoice processing help maintain strong relationships with partners and vendors.

Payment Automation Icon

Payment Automation

Organizations that make high volumes of payments similarly have much to gain from automating those processes. Automation provides far more visibility into the payment process, allowing all parties involved to receive near real-time updates on the progress of a specific payment. With lower per-payment costs, fewer errors, less payment fraud, and greater control over the process from beginning to end, automating payments simply makes sense.

Document Automation Icon

Document Automation

The creation and distribution of documents can be a huge undertaking for a business that deals in volume. Automation not only allows a team to create documents easily with reusable templates and content fragments, it also reduces errors, helps ensure compliance, and scales more easily to the specific needs of your organization.

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Supply Chain Document Automation

Automation can play a key role in effective supply chain document management with easy-to-use templates and expedited processes for creating purchase orders, packing slips, receipts of goods, and other key documents. With 3-way matching and visibility into every stage of the process, you can ensure faster, more accurate processing that keeps you compliant.

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AP Tax and Compliance Document Automation

Accuracy and speed are especially important when it comes to tax and compliance documents. Software solutions that integrate easily with your enterprise tax system allow you to manage vendor relationships smoothly, even during the crush of tax season. Automation can reduce processing times, eliminate human errors, and empower customers with self-service options.

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Key Learnings for AP Success from Thought Leaders

Let’s check in again with some of our thought leaders for their takes on what it takes for a FinTech organization to succeed with AP automation and artificial intelligence in the modern workplace. (We might even get a follow-up from our new friend ChatGPT!)

The Future of Automation, AI, ChatGPT_ErnieH HeadshotI think there’s been too much hype around AI as a threat to jobs. My opinion has always been that part of it is about professionals redefining their value proposition and taking advantage of having more time. The big value, especially on the side of robotic processes and automation, is you can get you back more of your time and not waste time on less valuable activities. 

Ernie Humphrey, Co-Founder of Treasury Webinars 

The Future of Automation, AI, ChatGPT_AdamS HeadshotShould we be scared, should we not be scared? I will still hang my hat on the statement that AI is not replacement. It’s repurposing so that we can all have a better life. You know, if I can work a four day week, I’m all for that. So I’m excited rather than scared. 

Adam Shilton, Co-Founder of Tech for Finance

As we get greater insight into how this unprecedented time in history will change behavior going forward, one thing has become crystal clear. Automation, in its many forms, is undeniably the foundation to enable successful communication. At MHC, we believe the organizations that leverage flexible, scalable and reliable automation functionality to engage in tailored, one-to-one customer communications will quickly leapfrog their competition.

Gina Armada, Chief Executive Officer of MHC

“  A FinTech organization needs a strategic integration plan. This includes selecting adaptable AI tools, seamless integration with existing systems, ensuring data security and compliance, fostering user adoption through training, and maintaining continuous monitoring for efficiency gains and regulatory adherence. Additionally, fostering a culture of innovation and flexibility will drive successful implementation and sustainable growth.

ChatGPT, notable artificial intelligence system

Experience the Future of AP Automation Today

The world of AP automation has evolved rapidly over the past few years, and there are many more changes still to come. Learning how to incorporate AI into your existing systems should lead to some impressive benefits across your accounts payable functions. Despite some widespread concerns and questions about AI replacing jobs or forcing workers into unfamiliar new roles, the truth is that AI can be a hugely useful tool used to supplement and enhance human activities.

If you’re ready to take a closer look at some of the many ways AP automation can boost your team’s efficiency, accuracy, and employee engagement, it’s time to schedule a demonstration of MHC’s industry-leading software solutions. Contact us today to set up a free demo, and get ready for a glimpse at the future of FinTech automation.

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AP AUTOMATION WEBINAR

Managing your FinTech Fear: The Future of Automation, AI, ChatGPT

Presenters: Ernie Humphrey, Treasury Webinars and Adam Shilton, Tech for Finance

Technology fears among AP and finance professionals began to take hold with solutions that featured automation. Would AP and finance professionals that do not leverage automation lose their jobs to those who were more tech savvy? Would automation eliminate the majority of AP jobs? Join us to discover if AP and finance professionals should have a fear of FinTech. If so, why? If not, how can these professionals make advancements in technology including ChatGPT their best friends.

Gina Armada

Gina Armada is the Chief Executive Officer for MHC, offering over 24 years of experience leveraging technology to deliver business solutions and generate value for customers. Gina leads MHC in consistently delivering intelligent workflow and content automation solutions that organizations can rely upon to streamline their operations, optimize productivity, and increase engagement with customers. Gina worked at Accenture until she joined MHC in 2008, serving in multiple roles until she was named CEO in 2019. When Gina isn’t piloting the growth of MHC’s solutions and services, she is active in coaching youth sports and loves spending free time with family and friends.

Dan Ward

Dan Ward is the Chief Technology Officer for MHC. With a software engineering career spanning 25 years, Dan has worked for a variety of organizations ranging from fledgling start-ups to Fortune 500 companies. With experience ranging from aerospace, manufacturing, ERP mobile expansion, EdTech, loyalty rewards marketing, and finance, Dan is adept at growing software engineering organizations from small local teams to large multinational divisions. When Dan isn’t benefiting MHC with this immense skillset, he and his wife can be found proudly watching their three children participate in lacrosse, hockey, football, and dance. He also enjoys traveling to warm locales with his family, biking, running, and weightlifting.

Ira Brooker

Ira Brooker is a freelance writer and editor based in Saint Paul, Minnesota. He has been writing blogs and copy about software-as-a-service solutions for most of the past decade. Before exploring accounts payable and workflow solutions with MHC, he wrote about fields including cybersecurity, workforce management, online accessibility, audiology, retail sales, and much more. When he’s not doing business writing, he also indulges in writing fiction, journalism, arts criticism, and bar trivia.

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