What is Rillion AI?
Rillion AI is a set of intelligent tools that help you automate your accounts payable process by reducing manual work and speeding up invoice handling. It includes:
- AI Coding, which suggests the account codes for each invoice
- AI Workflow Prediction, which recommends the right approvers for each invoice
- Riley, an AI assistant that answers your questions and supports you in your daily work managing invoices.
Together, these features help you process invoices faster, with fewer errors, and move toward fully automated, touchless AP operations.
How do I get started with Rillion AI?
To get started with Rillion AI, first check if it’s included in your current Rillion subscription. If not, reach out to your contact person at Rillion to add it. Once Rillion AI is part of your subscription, the technical setup will be handled by Rillion for you. After that, you’ll be able to activate AI-powered account coding and workflow predictions for the companies and vendors you choose. For more details, refer to the “How to Get Started with Rillion AI” guide.
How does AI help me with automation?
Rillion AI helps you automate your accounts payable process by taking over the most repetitive and time-consuming tasks without the need to maintain manual rules. It suggests account codes for invoices based on the invoice image, historical data, and your past behaviour. It also recommends the right approvers for each invoice. Rillion AI tools also include Riley, an AI assistant that answers your questions and supports you in your daily work. These tools work together to reduce manual effort, speed up invoice handling, and help you move toward fully automated, touchless processing.
What kind of invoices should I use AI matching for account coding/ workflow?
AI matching is ideal for automating invoice processing when patterns are consistent, such as with standard services, or operational expenses. It’s especially effective for invoices with repetitive structures, reducing manual effort and improving accuracy.
To guide your setup and ensure a smooth start, refer to the Getting started with AI-guide, which outlines best practices like focusing on common scenarios and using reference matching to boost automation quickly. Your Rillion Customer Success Manager can also support you throughout the process and help tailor the setup to your specific needs.
I already use reference matching/contracts/PO-matching, how will AI help me?
If you're already using reference, contract, and/or PO matching in Rillion Prime, AI takes your automation to the next level, without adding complexity. It doesn’t rely on static rules. Instead, it uses a combination of historical invoice data, invoice content and image, vendor behaviour, and patterns in your data, like how invoices have been coded or approved to suggest account coding and workflows. AI helps reduce manual work, especially for recurring invoices with repeating patterns, by adapting to changes over time and learning from your organization’s actual behaviour. It improves accuracy, handles exceptions better than rule-based systems, and scales automation without the need to maintain traditional rules and workflows.
What limitations does AI have?
AI performs best with high-quality, consistent historical data, and may be less effective when information is limited or highly variable. It can take time to adapt to new patterns or complex scenarios, and while it learns continuously, some manual oversight is still important to ensure accuracy and alignment with evolving business needs. AI is a powerful tool but combining it with human judgment and regular monitoring helps maintain reliable results.
Are there any risks with enabling AI? How do I mitigate them?
Enabling AI in Rillion Prime brings powerful automation, but it’s important to be aware of the risks and how to manage them. One key risk is inaccurate predictions. AI might suggest incorrect account coding or approval flows, especially if invoice data is inconsistent or limited. There’s also the risk of overreliance on automation, where errors might go unnoticed if manual checks are removed too quickly. In some cases, predictions may not align with your internal policies if AI settings aren’t tailored to your organization.
To mitigate these risks, start with AI in manual review mode so you can monitor its suggestions before applying them automatically. Use Rillion Analytics to track performance and identify patterns in incorrect predictions. Ensure your invoice data is clean and consistent and if needed, configure AI settings per vendor or company to reflect your actual workflows. Keep manual checks in place for complex or high-value invoices and work closely with your Customer Success Manager or support team to fine-tune the setup. This approach helps you build confidence in AI while maintaining control and accuracy.
Which invoice details are essential for accurate AI predictions?
To ensure accurate AI predictions in Rillion Prime, invoices should follow consistent patterns and include detailed line items, metadata (like vendor and project codes), and standardized fields. A strong historical data set (ideally 3,000+ invoices) helps train the AI effectively, especially when invoices have recurring structures and clear hierarchies. For best results, enable prediction features in admin settings and tailor configurations per vendor or company needs.
Which vendors should I enable AI to?
AI can be enabled for all vendors in Rillion Prime, as it’s designed to adapt across different invoice types and vendor setups. If needed, you can disable AI for specific vendors where another matching type is preferred. Once AI is active, you can use Rillion Analytics to see how well it performs and adjusts as needed.
How should we roll out AI in the organization?
Rolling out AI in Rillion Prime works best when you start with a clear plan. Begin by defining what you want to achieve, whether it’s reducing manual coding, improving approval flows, or increasing automation. These goals will help guide your decisions and give you a way to measure success. It’s also important to decide who should be involved in the rollout. Including finance, procurement, and key invoice approvers early ensures the setup reflects how your organization works.
Work closely with your Rillion Customer Success Manager to align the right approach and ensure the AI settings are tailored to your needs. Use Rillion Analytics to track performance and identify where AI is working well or needs adjustment. Keep manual checks in place for complex or high-value invoices to maintain control. With the right setup and gradual rollout, you can scale AI safely and effectively across your organization.
Why does AI predict incorrectly—and what can you do?
Sometimes AI predictions in Rillion Prime can be inaccurate due to things like missing or inconsistent data, unusual invoice formats, or changes in vendor behaviour. It can also happen if the AI settings aren’t quite right or if there isn’t enough data for the system to learn from. To improve results, make sure your data is clean and consistent, and keep reviewing how AI is performing. Use feedback to fine-tune the setup, and don’t hesitate to reach out to Rillion Support or your Customer Success Manager for help adjusting the configuration.