E291: Verosoft outlines agentic AI use cases for Business Central

At Directions EMEA 2025 in Poznań, Poland, Verosoft discussed its work with agentic AI in Business Central, with a focus on asset-intensive organizations and preventive maintenance workflows.

Verosoft is an independent software vendor that develops solutions for organizations running Business Central. In an on-location interview with PartnerTalks host Rick McCutcheon, Ben Brousseau, a pre-sales consultant at Verosoft, described the work his organization is doing now and where his industry is headed.

Verosoft and its Business Central products

“Our flagship would be the Asset Guardian,” Brousseau said. “It’s been on the map for about 15 years now. It’s deployed globally, all around the world, and it’s very good for asset-intensive business.”

He said the company also publishes DocStash, a document management extension, and Wormhole, a master data synchronization module for organizations operating multiple Business Central environments.

More information about Verosoft and its products is available on the Verosoft website.

Agentic AI as a focus at Directions EMEA

Directions EMEA is an annual conference for the Microsoft Dynamics Partner community across Europe, the Middle East and Africa. At the 2025 event, agentic AI appeared across a large portion of the agenda.

“I think I counted about 20 to 25 speaker sessions regarding agentic AI,” Brousseau said. “Overall, I think it’s clear the direction that the community is moving forward to.”

Microsoft has said that Dynamics 365 Business Central is now used by more than 50,000 organizations worldwide.

Preventive maintenance as an AI agent use case

Brousseau said his Directions presentation focused on preventive maintenance planning as a practical application for AI agents in Business Central environments.

“It’s a big thing in asset management is doing preventive maintenance,” he said. “For a maintenance planner, it means reading 300-page maintenance manuals.”

He said Verosoft’s AI agents are designed to automate the initial review and synthesis of that documentation.

“With our AI agent, we shrink this down to just under 60 seconds,” Brousseau said. “Of course, there’s some review and inputs that the maintenance planner needs to do, but all the heavy lifting of reading all the details is being, essentially, automated.”

Verosoft delivers these capabilities through TAG Mobi, its mobile interface for Business Central users working in maintenance and asset management roles, supported by mobiMentor AI.

Using multiple models for different tasks

Brousseau said Verosoft’s approach allows users to work with many large language models rather than relying on a single model.

“Rather than only having one LLM model that we can use, like Copilot, we can browse through 300 different models,” he said. “Some AI models are better at executing certain tasks.”

He said some models are better suited to co-authoring and writing tasks, while others are more effective at extracting or feeding structured data into Business Central.

Microsoft has published documentation on creating AI agents in Copilot Studio and connecting them to Business Central.

Trust and adoption

“That’s really what users need, Rick, is they need to have trust in AI,” Brousseau said.

He said AI tools need to align with specific workflows in order for users to see value in them.

And time, he believes, is of the essence.

“If you’re not doing agentic AI right now, you’re essentially late,” Brousseau said.

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