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Acumatica announces AI Studio, new AI Lab customer feedback features

January 30, 2025
in Accounting
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Acumatica announces AI Studio, new AI Lab customer feedback features
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Cloud ERP solutions provider Acumatica announced several updates and enhancements for 2025 that align with the company’s new AI-first product strategy, which involves looking at business problems from the ground up and then determine how applied AI can address these problem scenarios.

“Acumatica’s AI capabilities are designed to automate and eliminate error-prone manual processes and enable businesses to intelligently streamline workflows across industries,” said Acumatica chief engineering officer Miten Mehta. “From Generative AI assistants to smart automated sales workflows tailored to unique operational needs, our tools integrate seamlessly into existing workflows, making them immediately impactful. We’ve created a stable, secure foundation, ensuring businesses can confidently integrate AI technologies into their processes—whether AI-powered anomaly detection in manufacturing or intelligent assistants in construction—driving real, measurable results.”

Two major components of this will be enhancements to Acumatica Labs as well as the release of Acumatica AI Studio. Acumatica Labs will include a new customer preview program that enables early access to new features for testing and direct feedback, as well as advanced kitting, order orchestration, customer special orders, case closure notes, B2B ordering, document templates and AI-powered anomaly detection for those who sign up. 

Meanwhile, Acumatica AI Studio—a new feature in the larger platform—will let businesses automate their workflows without having to code. Chief Technology Officer Mikhail Shchelkonogov, during his presentation, showed how he could use it to automate report production, using the example of support case reports. After their engineering staff helps a customer with a technical issue, they must take all the case activities, analyze them, and report on things like what the problem was, what the root cause of that problem was, and how it was fixed, among other things. This is a complicated multi-step process. But Shchelkonogov, with the AI Studio, created a single button that directs the AI to gather all the information from the support case and then send it to the large language model to produce the report itself. He noted the AI even knew he spent 4 hours and 15 minutes working on that particular support case. 

He explained how he set up the button himself through the AI Prompt Editor that is part of the AI Studio. Effectively, the button activates a prompt he had already prepared which specified things such as the items he wanted to include in the closure notes, the format of the report itself, and additional information to be used to enrich the text (e.g. product descriptions from the Acumatica website.) He then tested the results, refined the prompt to his satisfaction and completed the automation. 

“Number one, I did not write a single line of code to do that. Number two, it was very fast. Number three, think of how many actions I automated. Now you can take it and go to any screen in Acumatica, think of the scenario you want to implement, and do it by yourself,” said Shchelkonogov. 

The AI Studio also provides data-driven insights in a secure environment. For example, during his presentation Doug Johnson, vice president of solution architecture, raised the example of an Alaskan company that makes scratch off lottery tickets. The insights feature combed through hundreds of thousands of records to find which of their salespeople were discounting too heavily, which were selling below margin and other performance statistics. They also used it to determine who was overdue with their bills (Johnson noted that billing can be challenging in Alaska due to mail delays, so standard patterns won’t work). They were able to find this information by entering a simple data query, which gathered the information and put it on a dashboard “so instead of 100,000 or a million records, you only have to look at 15.”

“Another thing here is the [AI determined] average days to pay. It varies wildly by customer. That is what AI really helps with, so they can focus on the right problem instead of focusing on people who just have mail issues at their place,” he said. 

Acumatica also announced several industry-specific solutions for the distribution, manufacturing, construction, retail and professional services industries. For professional services, Acumatica plans to implement a native ProjectManager integration for resource planning and project scheduling.

At this time, Acumatica hasn’t shared specific release dates for these updates.

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