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AI Predictions for 2025: Insights from DigitalRoute Experts

AI is transforming how businesses operate. But how will it shape Order-to-Cash processes in 2025? DigitalRoute experts weigh in.

Phoebe Lauer
Phoebe Lauer

Updated on January 22, 2025

AI Predictions for 2025: Insights from DigitalRoute Experts

AI Trends Impacting O2C in 2025 

A new year brings a fresh wave of innovation, and 2025 is no exception. Artificial intelligence (AI) remains at the forefront of this change, reshaping how businesses operate. “To stay relevant, every company needs to embed AI into their offerings in some way,” says Andreas Zartmann, CEO of DigitalRoute.

But what does this mean for Order-to-Cash (O2C) processes? How will AI drive revenue and streamline daily operations? I spoke with DigitalRoute experts across Product, Marketing, and beyond to explore the key trends to watch.

Monetization and Adoption of AI Features in Modern Business Models 

Gaurav Dixit, Head of Data and AI Products, says that predictive AI and Generative AI are helping businesses improve their O2C processes with data-driven insights.

“AI also enables the democratization of business and pricing model experimentation and rollout.”

These advancements help businesses explore new monetization and pricing strategies, moving away from strict systems to create solutions that better fit their customers. By using AI, companies can build flexible, scalable processes that improve efficiency and support future growth.

Usage-Based Billing and Business Models in Revenue Generation 

AI is driving a shift from traditional fixed pricing to dynamic, usage-based models that put customers in focus. Companies are increasingly leveraging usage data to optimize these models. Stephen Hateley, Head of Product and Partner Marketing, shared:

“The expected growth of AI/Gen-AI adoption by tech companies will have them prioritize and expedite the introduction of usage-based business models.”

This shift is changing how businesses generate revenue, aligning pricing directly with usage. The outcome? More flexibility for customers, better personalization, and scalable growth for companies ready to embrace these models. 

Emphasis on Cybersecurity 

The rise of AI highlights the urgent need for strong cybersecurity. According to Liubov Koreva, SRE Manager:

“Companies must protect customer data, ensuring it is both accurate and secure. Inaccurate data can result in poor AI predictions, flawed decisions, or legal risks. Data accuracy and strong protection are critical for long-term success.”

When looking ahead, Liubov expects a cybersecurity-first strategy featuring robust frameworks like Zero Trust models and leveraging threat intelligence at the intersection of AI and cybersecurity.  

Jonas Wallenius, Strategic Product Manager, also emphasized the need for robust cybersecurity:

“Data privacy and isolation in multi-tenant environments with GenAI will become a big deal, discussion point, and regulatory hassle.”

As AI adoption grows, protecting sensitive data will be crucial for maintaining trust and staying compliant with regulations. 

How AI, Data Monetization, and Usage Data Shape Business Strategies and Revenue Generation

Let’s shift focus to revenue generation—how are AI, data monetization, and usage data influencing business strategies and driving revenue in the near future? I asked the team for their thoughts. 

Mediation: The Backbone of AI-Driven Business Models 

Demed L’Her, Chief Technology Officer, emphasized the importance of mediation in this process. 

“It might be counterintuitive, and you could argue it’s “old” technology since it’s been used in telecoms for ages. But consumption and hybrid models are becoming an imperative in 2025 and everyone seems to have forgotten that there is no consumption-based billing possible without strong mediation. It’s a problem that has to be solved first.” 

In the context of AI, data mediation is essential for transforming raw data into a standardized format. This process takes usage data, product details, service quantities, and timing, and structures it in a way that billing systems can recognize and use. According to Andreas,

“AI-powered services must be usage-based because costs arise as soon as customers start using the service. Usage data management (UDM) is the missing link in most Order-to-Cash processes, and for companies to scale their monetization, it becomes a strategic necessity.” 

Predictive Analytics: Driving Revenue Growth with AI 

Predictive analytics will be key to AI-powered revenue generation. AI-driven analytics will help businesses spot trends, improve operations, and find new revenue opportunities. Liubov explains:

“AI predictions and anomaly detection will become a must-have in the near future.”

Diksha, Product Owner at DigitalRoute, adds:

“Companies know that they need to change strategy and business models but there is hesitance because it may impact the revenue. AI will help them respond faster, using predictions to adjust strategies and drive revenue and growth.” 

How AI is Transforming Daily Work at DigitalRoute 

Andreas, CEO: “Tangible productivity improvements. This differs from everyday applications, ie we will see large shift in areas where we adopt AI.” 

Andreas Zartmann
Demed Lher

Demed, CTO: “There are a lot of non-value added administration tasks in our daily lives that take a lot of our time and can easily be solved with AI. Meetings scheduling. Notes taking. Action items and summaries. The tools to solve these menial tasks exist and will become mainstream in 2025. And then there are the tools to help us in product design and development (prototyping, dev co-pilot, etc.) – that’s where the main value lies.” 

Liubov, SRE Manager: “AI Automation, but only when the consequences of mistakes are less costly than the expense of human effort. Changes in AI regulations will impact the company’s governance strategies.” 

Gaurav Dixit

Gaurav, Head of Data and AI Products: “Productivity and new skills. By the latter, I mean that now I can do the other functional tasks which I was 100% reliant on others to do, to a decent stage myself.” 

Jonas, Strategic Product Manager: “Planning, risk analysis, prototyping/product experiments will speed up by 10x or more, but there will also be 100s of gold-digging tool vendors that don’t add that much value. Must verify value in each company’s context.” 

Diksha, Product Owner: “Repetitive tasks will be automated. There will be tools in market to do work quickly, like creating UX mocks with simple instructions. Competitor analysis will be much faster and accurate.” 

Stephen, Head of Product and Partner Marketing: “Gen AI has undoubtedly boosted production of marketing assets and massively assisted in strategic subject research in the absence of expensive research papers and contracts.” 

Stephen Hateley

Looking Ahead: The Role of Agentic AI in O2C

While predictive and generative AI are already transforming O2C processes, agentic AI is poised to take things even further. These autonomous agents have the potential to greatly streamline and automate operations. As Demed explains,

“Agentic AI is the ultimate goal in the O2C space: agents that can generate quotes, contracts, invoices, etc. Technology is ready—or close to being. However, the stringent regulations in the space probably mean that the rollout of autonomous agents will take a bit longer.”

Although widespread adoption may be delayed due to regulatory challenges, agentic AI will ultimately reshape O2C operations, offering businesses even greater efficiency and scalability.

Embracing AI for a Smarter Future 

From predictive analytics to usage-based billing and enhanced O2C processes, AI is fundamentally reshaping how businesses operate and generate revenue. At DigitalRoute, we see AI as more than a tool—it’s a transformative force that’s enabling smarter strategies, better customer experiences, and more scalable growth.

As we navigate this evolving landscape, one thing is clear: the businesses that succeed will be those that embrace AI not just as a technology, but as an integral part of their strategy.  

Enjoyed this blog post?

👉 Check out our podcast on AI-Powered Usage Data Management, featuring Gaurav Dixit, Head of Data and AI Products.

Phoebe Lauer

Phoebe Lauer

Content Marketing Manager @ DigitalRoute

Phoebe Lauer is a content marketer and brand lover passionate about human-centered marketing.

A Chicago native, she’s called Sweden home for the past four years. In her free time, she can be found travelling, working out, watching crime documentaries, or exploring new neighborhoods around town.

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