From AI hype to measurable outcomes: Announcing prescriptive AI use case packs in Infor Velocity Suite

Artificial intelligence (AI) is everywhere, but most organizations still face a practical question: Which AI use cases should we start with, and what is the fastest path from AI trials to tangible business results? If you’ve experimented with AI but struggled to translate pilots into measurable impact, you understand the need for a practical and prescriptive approach—one that pinpoints where AI will move the needle, can be applied with confidence, and allows you to track results.

That’s what Infor™ AI use case packs address with their industry-specific AI use case recommendations that give you a clear starting point and a guided path to return on investment (ROI). Each pack is a ready-to-use set of recommended AI-powered process and performance insights tailored to specific industry workflows and roles, with clear direction on where to apply AI-powered automation, what to measure, and what to do next.

Delivered as part of Infor Velocity Suite, the goal isn’t “more AI”. It’s about easing practical AI adoption and accelerating ROI with AI that fits naturally into the workflows your teams already run. Infor Velocity Suite combines the AI solutions, tools, and expertise you need to operate at your best in one all-inclusive package.

When you evaluate other vendors’ AI options, you’ll often see long lists of generic agents. Horizontal enterprise resource planning (ERP) capabilities and copious generic agents produce minimal value due to limited industry and business context. This results in cost- and time-intensive, shallow outcomes, with you having to connect the dots, creating more complexity than value. Infor is prescriptive. Infor recommends AI use case packs for processes built specifically for your industry, so functional roles that touch the process have clear guidance on where to start and how to expand usage over time, compounding business value.

Why prescriptive beats AI volume

Your organization runs on operational processes supported by your ERP. Infor customers benefit from proven, built-in industry-specific processes that deliver best-practice value out of the box. AI use case packs are designed to compound that value, layering in more AI-powered insights and automations directly into the processes where work happens, guided by Infor’s deep industry data and process knowledge.

Prescriptive AI use case packs beat AI volume by reducing three common failure points:

1. Confusion on scope: AI use case packs are designed around processes you already rely on (e.g., accounts payable efficiency or sales operations and order fulfillment).
2. Friction during adoption: AI use case packs recommend a proven approach to apply AI and automation based on insights into your business process inefficiencies, so teams can act with confidence.
3. Uncertainty about ROI: AI use case packs focus on unlocking measurable business outcomes quickly (e.g., reducing cash conversion cycle time to free up working capital).

How AI use case packs work to bring you value faster

Infor structures each AI use case pack around a clear progression—diagnose, automate, optimize—that gives you a guided path to proven business value. Because our packs are built on industry-specific processes, they account for the operational realities that generic AI can't address.

Consider accounts payable (AP) and supplier management. A food and beverage company faces fast, high-volume AP cycles driven by perishable inputs, frequent spot purchasing, price volatility, and food safety regulations that tightly couple vendor credentialing and traceability to the payment process. An example of the "Food & Beverage prescriptive use case pack" for AP efficiency and supplier management can be seen in the illustration below. An industrial manufacturer, by contrast, operates with fewer, larger suppliers, more stable pricing, and longer payment terms. 

Infor builds its ERPs with these industry differences in mind. They are embedded with proven, industry specific processes that help eliminate customizations and speed deployments while providing the industry context needed to deliver AI and automation value.

Here's how the diagnose-automate-optimize progression works using food and beverage AP as an example:

 

1. Diagnose

Get a fact-based view of how the process runs today compared to best practices with AI-powered Infor Process Mining. See how invoices, receipts, and supplier follow-ups actually flow from purchasing to the warehouse and quality team to accounts payable. Identify where work slows down from issues such as missing receipts, quality holds, weight or grade discrepancies, or repeated back-and-forth with suppliers for missing information and certificates. This shows where cycle time grows and where cash conversion cycle is impacted.

2. Automate

Apply AI-powered automation to handle routine work. For example, automation can capture key fields from invoices and receiving documents, match invoices to purchase orders (POs) and receipts (including both pieces and weight), and route items automatically. When exceptions occur—such as a lower grade than expected, a short shipment, a lot on quality hold, or a missing certificate of analysis (COA)—it can create a guided task and request what’s missing from the supplier. Approvals and escalation points remain in place for policy-sensitive decisions.

3. Optimize

Track results and keep improving with a simple rhythm: measure, find the cause, adjust, confirm. Focus on key performance indicators (KPIs) such as faster cash conversion cycle, higher invoices processed per AP employee, and stronger vendor performance scores. Use generative AI (GenAI)-powered summaries to identify delays and exceptions, then update rules, approval paths, and supplier requirements to prevent repeat issues. AI agents collaborating with you across the process increases touchless processing, reduces disputes and chargebacks, and improves supplier reliability. Embedded GenAI experiences can also help teams summarize recurring exceptions, draft supplier outreach, and turn recommendations into next-step tasks directly in the flow of work.

The result is an exception-driven flow. Routine checks, confirmations, document handling, and invoice processing shift into AI-powered automation, with human-in-the-loop for governance and policy-sensitive decisions. This frees AP, buyer, warehouse, and quality teams to focus on higher-value work: supplier selection and performance management, PO validation, quality outcomes, and resolving true exceptions.

 

The bigger point: A repeatable playbook that you can use for your AI success

The example above shows one process in one industry. Whether you're in food and beverage, manufacturing, distribution, or another industry, the approach is the same. Infor offers a library of prescriptive AI use case packs by process and industry, helping organizations move from AI curiosity to real operational outcomes.

To learn more about how to achieve the simplest path to AI business value, read our new eBook on the three steps to achieve AI ROI.

Register for our digital event, “AI That Knows Your Industry”, happening on May 7, 2026, at 10AM EDT, for fresh insights, innovations, and inspiration.