Verosoft Launches Verovia to Connect Industrial IoT, ERP and AI Agents

Verosoft has launched Verovia, a new AI orchestration and automation platform designed to connect industrial equipment, enterprise applications, and AI agents within a unified operational environment.

Announced on October 26, 2026, the platform is generally available and builds on Verosoft’s experience in enterprise asset management and the Microsoft Dynamics ecosystem. Its objective is to help industrial organizations move beyond isolated AI applications by connecting artificial intelligence directly to the systems, data, and processes that support daily operations.

The launch reflects a growing challenge for manufacturers, energy providers, transportation operators, and other asset-intensive businesses: turning the increasing volume of information generated by connected equipment into decisions and actions that improve operational performance.

While IoT technologies have made it possible to monitor equipment conditions and operational activity in real time, the information they generate often remains separated from enterprise applications responsible for maintenance, procurement, financial management, and other business processes.

Verovia is designed to address that separation by providing an orchestration layer through which AI agents can access relevant information, interact with applications, and execute workflows across different systems.

Importantly, Verosoft is positioning the platform as an extension of existing enterprise technology rather than a replacement for established ERP and operational systems.

From Equipment Monitoring to Intelligent Operational Workflows

Verovia builds on IoT capabilities introduced by Verosoft earlier in 2026, extending the company’s existing focus on enterprise asset management into AI-driven process automation.

Verosoft’s established asset management offering, The Asset Guardian (TAG), provides the foundation for its expansion into connected industrial operations.

The strategic opportunity lies in bringing together three capabilities that have traditionally been managed separately: equipment monitoring, enterprise business processes, and intelligent automation.

For industrial organizations, monitoring equipment is only the first step toward improving operational performance. The greater challenge is ensuring that information about equipment conditions can influence the business processes responsible for responding to potential problems.

A maintenance alert, for example, becomes more useful when it can be connected to asset records, maintenance planning, inventory availability, procurement requirements, and operational priorities.

Connecting these activities can reduce the need for employees to transfer information manually between systems and create opportunities for faster, more coordinated responses.

“After more than 20 years developing enterprise asset management solutions within Microsoft Dynamics, we’re extending our expertise with The Asset Guardian (TAG) into AI orchestration and automation,” said Martin Turgeon, President of Verosoft. “We can now connect industrial data directly to AI, put information into business context, and automate processes across entire operations.”

This approach reflects an important evolution in industrial software: moving from systems that primarily record operational activity toward platforms that can help coordinate what happens next.

Moving Industrial AI Beyond Isolated Pilots

One of the persistent challenges in enterprise AI adoption is translating successful demonstrations into dependable operational improvements.

Industrial environments introduce complexities that are not always present in controlled AI experiments. Equipment information, maintenance histories, operational procedures, business rules, and enterprise application data must work together if automation is to deliver meaningful results.

An AI system capable of analyzing equipment information may identify a potential issue, but that insight has limited operational value if it cannot be connected to the processes responsible for resolving it.

Verovia approaches this challenge through AI orchestration, allowing organizations to connect agents with enterprise applications and operational information rather than deploying AI capabilities as disconnected tools.

According to Verosoft, pilot projects involving its technologies across transportation, energy, construction, and manufacturing have produced promising early results.

The company reports improvements in equipment downtime, data analysis speed, and the reduction of manual data entry in selected workflows.

However, Verosoft has not disclosed specific performance figures, customer-level results, or detailed measurement methodologies for these pilots. Their broader commercial impact will therefore depend on how the platform performs as adoption expands.

“AI’s real value isn’t measured by the number of agents deployed, but by the work they accomplish,” said Alexis Turgeon, Director of Innovation at Verosoft. “We’re seeing dramatic improvements in operational efficiency by connecting AI directly to business processes. Verovia makes these capabilities accessible and scalable across the industrial enterprise.”

The distinction between deploying AI agents and measuring their operational contribution is particularly relevant as enterprises evaluate increasingly sophisticated automation technologies.

For industrial businesses, meaningful performance indicators may include equipment availability, maintenance response times, processing efficiency, administrative workload, and the cost of unplanned downtime.

These measures provide a more practical basis for evaluating AI investments than the number of models or agents introduced into an organization.

Enterprise Governance Becomes Central to AI Orchestration

As AI agents move from retrieving information to executing business processes, governance becomes an increasingly important requirement.

Industrial applications often involve operationally sensitive information, established approval procedures, and decisions that can affect production continuity, equipment availability, and financial performance.

Allowing AI systems to interact with enterprise applications therefore requires more than technical connectivity.

Organizations must also determine which information agents can access, which actions they are permitted to perform, and when human approval is required.

Verovia incorporates governance capabilities designed to support these requirements, including Microsoft Entra ID integration, role-based access permissions, approval workflows, and auditable activity records.

These controls are intended to allow IT teams to manage how AI agents interact with connected systems while maintaining oversight of critical activities.

The approach is significant because the operational consequences of automation become greater as AI moves closer to systems of record.

An agent generating a maintenance recommendation presents a different level of risk from one initiating procurement activity, changing operational records, or executing an action that affects business-critical equipment.

Establishing appropriate authorization, accountability, and traceability will be essential as organizations expand the responsibilities assigned to AI agents.

Verovia’s governance architecture is designed to provide a framework for managing those responsibilities, although the effectiveness of individual implementations will depend on configuration, integration design, and organizational controls.

Extending the Microsoft Dynamics Ecosystem into Industrial AI

Verovia also represents an expansion of Verosoft’s position within the Microsoft business applications ecosystem.

The company is a Microsoft Solutions Partner for Business Applications, with more than two decades of experience developing enterprise asset management solutions connected to Microsoft Dynamics.

Its TAG Mobi asset management platform is deployed in more than 150 countries, and Verosoft operates through a network of more than 60 certified Microsoft partners.

With Verovia, the company is extending its portfolio from asset management into a broader layer of AI orchestration and automation.

This creates potential opportunities for Microsoft Dynamics 365 and Azure partners seeking to introduce industrial AI capabilities into existing customer environments.

Rather than developing every component of an AI infrastructure independently, partners can use Verovia’s connectivity, agent orchestration, application development, and governance capabilities as a foundation for industry-specific solutions.

For implementation partners, this could expand the scope of services beyond traditional ERP deployment and support.

AI workflow development, operational system integration, automation governance, and ongoing optimization may become increasingly important components of customer engagements.

Verosoft also identifies recurring AI consulting and managed services as potential growth opportunities for its partner ecosystem.

The commercial significance will depend on the extent to which partners can translate the platform’s capabilities into repeatable implementations and measurable customer outcomes.

Connecting Smarter Assets with Enterprise Decisions

The introduction of Verovia comes as industrial organizations increasingly explore the relationship between connected assets, ERP systems, and AI-driven operations.

IoT sensors can provide continuous information about equipment conditions, usage, and performance. Enterprise asset management systems organize the maintenance records and operational information associated with those assets. ERP platforms connect related activities to purchasing, inventory, resources, and financial management.

The challenge is making these layers work together.

When information remains fragmented, operational teams may have visibility into equipment conditions without an efficient way to coordinate the necessary business response.

AI orchestration offers a potential mechanism for connecting those processes, allowing information generated in one system to inform actions in another.

For example, a connected equipment environment could support workflows that evaluate maintenance requirements, check available resources, and prepare purchasing or scheduling activities for review.

Such scenarios illustrate the potential of connected industrial operations rather than confirmed functionality or measured outcomes from a specific Verovia deployment.

The broader opportunity is to reduce the distance between identifying an operational issue and coordinating the response across enterprise systems.

This is also where AI orchestration may become increasingly relevant to ERP strategy.

Rather than replacing existing business applications, orchestration platforms can potentially extend their value by making information and workflows accessible across organizational boundaries.

Availability and the Next Phase of Industrial AI Adoption

Verovia is available beginning October 26, 2026, including a free version intended to help industrial organizations and Microsoft partners explore AI orchestration and automation.

Verosoft plans to demonstrate industrial AI use cases and operational results at Convergence 2026, scheduled for December 8–11 in Miami Beach, Florida.

The event will provide an opportunity for the company to demonstrate how its technology connects industrial information, enterprise applications, and AI-driven workflows.

For ERP and industrial technology buyers, the central question will be whether this approach can deliver consistent operational improvements across different industries, existing system environments, and levels of digital maturity.

Verovia enters a market where organizations are increasingly interested in AI capabilities that can move beyond generating insights toward supporting actual business execution.

Its differentiation will depend on the depth of its industrial integrations, the reliability of its orchestration capabilities, the effectiveness of its governance controls, and the measurable value customers achieve in production environments.

The launch highlights a broader direction in enterprise technology: as industrial assets become more connected and AI systems become more capable, the next stage of ERP evolution may be defined not simply by access to better information, but by how effectively that information can be translated into coordinated, governed operational action.