Infor Velocity: Smarter Process Mining with Gen AI

Businesses are no longer asking whether they should use artificial intelligence. The question now is how to weave generative AI and process intelligence into the operational fabric so that the promise of productivity becomes measurable reality. Infor Velocity Suite offers a pragmatic path to that outcome by combining process mining, generative AI, and prebuilt automation into a single package that is designed for rapid business value.

Why process mining matters now

Process mining reveals how work actually flows across systems by analyzing event logs from ERP and other enterprise systems. Unlike static process maps, it surfaces root causes, sequence delays, rework loops, and hidden handoffs using factual system data. That visibility is the foundation for any meaningful automation or AI optimization effort because you cannot improve what you do not measure.

Where generative AI adds unique value

Generative AI is not just a fancy reporting tool. When embedded into process intelligence it can do three practical things at scale:

1. Translate complex process mining outputs into concise business narratives that are consumable by leaders and frontline teams.
2. Suggest targeted experiments and automations based on patterns and anomalies found in the data.
3. Automate routine decision tasks by supplying context aware recommendations that reduce cognitive load and clicks.

Infor positions generative AI as an optimizer in the end to end loop: diagnose with process mining, automate with prebuilt solutions, then refine with AI driven insights. That closed loop shortens time to value and lowers the barrier for organizations that lack deep data science teams.

What Infor Velocity brings to the table

Infor Velocity Suite packages process mining, robotic process automation, generative AI, and Value plus prebuilt automations into a single offering so companies can move from problem discovery to remediation quickly. The suite is designed to work natively with Infor CloudSuite and is offered as a bundled route to accelerate process innovation. This means organizations can get actionable diagnosis and production ready automations in weeks rather than months or years.

Infor Process Mining specifically provides industry aware mapping of process flows and highlights inefficiencies and bottlenecks. With Gen AI integration, users can receive automatically generated summaries and prescriptive next steps so business teams can act faster.

Business outcomes to expect

When implemented thoughtfully, the combination of process mining and generative AI yields measurable gains across several dimensions:

• Faster cycle times for order to cash and procure to pay.
• Lower manual effort and fewer exceptions through targeted automation.
• Better compliance and audit readiness because actual process traces are recorded and analyzed.
• Faster decision making from concise AI generated summaries and recommended actions.
• Continuous improvement because the system can re diagnose and re optimize as behavior changes.

Independent analysts and customer case commentary highlight speed to value as a key differentiator for packaged approaches like Velocity Suite.

Practical use cases

• Finance closing for month end: find exceptions that delay close and apply targeted automations to reduce manual reconciliation effort.
• Procurement and supplier onboarding: identify long supplier lead times and automate routine supplier verification steps.
• Distribution and warehouse operations: detect routing delays and translate findings into RPA driven task automation plus AI suggestions for layout or scheduling tweaks.
• Quality and returns management: discover common failure patterns and automate root cause workflows that reduce rework.

These are not theoretical. Infor has packaged industry templates and Value plus automations so teams do not start from scratch.

Implementation roadmap that leaders can use today

1. Start with discovery: run process mining on a high value process to get objective baseline metrics.
2. Prioritize by impact: use AI assisted summaries to identify the top three root causes driving most of the cost or delay.
3. Apply Value plus automations: implement prebuilt automations for low complexity high impact pain points.
4. Monitor and iterate: re run process mining and use Gen AI to evaluate the effectiveness of automations and recommend refinements.
5. Scale to other processes: replicate the approach across functions with the accumulated templates and learnings.

Infor emphasizes this diagnose automate optimize loop as the way to shorten time to value and preserve momentum.

Risks and how to mitigate them

• Data quality and integration gaps: mitigate with a focused data ingestion plan and by starting with systems where logs are reliable.
• Change management resistance: mitigate by using AI generated executive summaries and metrics that speak the language of business stakeholders.
• Over automation: mitigate by prioritizing automations that remove cognitive load and reduce exceptions rather than removing variance that matters for customer service.

A measured approach that pairs analytics with clear governance reduces the common failure modes.

Conclusion

Generative AI and process mining together convert insight into action. Packaged offerings such as Infor Velocity Suite take the friction out of assembling tooling and expertise so companies can focus on outcomes rather than experiments. For any organization that runs complex enterprise systems and seeks repeatable improvements in productivity and compliance, this approach is no longer optional. It is foundational for continuous operational advantage.