Frequently Asked Questions
The Asset Guardian (TAG), TAG Mobi & mobiMentor AI
Enterprise Asset Management | Mobile Maintenance | AI-Powered Operations
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Product & scope
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TAG is an enterprise asset management (EAM/CMMS) platform used to manage assets, plan and execute maintenance, and maintain a complete history of maintenance activity and costs. TAG is designed for organizations that need enterprise-grade maintenance management embedded directly inside Microsoft technologies.
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TAG Mobi is the mobile suite for TAG. It enables technicians and field teams to execute work orders, capture field data, and access asset information from phones and tablets—whether on-site or in the field.
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Yes. TAG runs as a native extension inside Microsoft Dynamics 365 Business Central, giving organizations a unified environment for both maintenance management and core business processes.
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TAG is a full EAM that also delivers traditional CMMS capabilities such as work orders, preventive maintenance, inspections, spare parts and inventory management, and reporting. This means organizations can manage the complete asset lifecycle—not just day-to-day maintenance tasks.
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mobiMentor AI is an AI ecosystem built specifically for maintenance. It automates and supports maintenance workflows using TAG data—helping teams make faster, better-informed decisions about their assets.
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No. TAG manages maintenance and asset processes alongside your ERP. When used with Business Central, maintenance records and ERP data remain aligned in a single environment, eliminating the need for manual data transfers between systems.
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TAG Mobi can be used as a standalone mobile EAM experience, but TAG always runs on Microsoft Dynamics 365 Business Central. A Business Central environment is required because TAG stores its data inside Business Central. You do not need to use Business Central for other business functions—it simply serves as the application platform and database for TAG.
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Yes. TAG integrates with other ERPs through APIs. In these cases, Business Central acts as the TAG application layer and master data hub, while integrations synchronize required data with your primary ERP. This approach lets organizations keep their existing ERP while gaining a purpose-built EAM platform.
Fit & operational outcomes
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TAG helps organizations reduce unplanned downtime, improve maintenance compliance, and increase technician productivity by structuring and digitizing maintenance execution. Teams move from reactive, paper-based processes to planned, data-driven operations.
➔ Typical outcomes include fewer emergency repairs, faster inspection cycles, and better visibility into maintenance spend.
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TAG is used across asset-intensive industries including manufacturing, food and beverage, metals and mining, energy and utilities, transportation, facilities management, and property management. Any organization that depends on the reliability of physical assets can benefitfrom TAG.
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Yes. TAG manages corrective (reactive) work orders and stores the complete work history against the asset, so teams can identify recurring issues and take action to prevent repeat failures.
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Yes. TAG supports preventive maintenance plans, recurring schedules, and execution workflows—helping organizations shift from reactive to planned maintenance and improve equipment reliability.
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Yes. TAG supports predictive maintenance when condition inputs are available, such as meter readings, inspection data, or sensor and IoT telemetry. This enables teams to address issues before they become failures.
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Yes. TAG uses advanced algorithms—including forecasting and anomaly detection—to identify failure patterns earlier. Combined with mobiMentor AI, these detection capabilities enable governed automation: the system can recommend specific actions and standardize maintenance responses based on real-time conditions.
Work execution & control
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TAG supports the full work order lifecycle—request, approval, planning, scheduling, execution, completion, and close-out. The complete record is stored against the asset, giving teams a reliable history for analysis and audit.
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Yes. TAG supports configurable approval workflows, including multistep approvals, so organizations can enforce governance and control over maintenance activities. Workflow automation can also be extended with mobiMentor AI for AI-assisted routing and escalation.
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Yes. TAG supports inspection routines and checklists tied to assets and work orders, enabling consistent data capture and compliance tracking.
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Yes. TAG supports safety workflows and controlled documentation tied to work and assets, including Permit-to-Work (PTW) workflows—helping organizations meet regulatory and safety requirements.
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Yes. TAG tracks labor time captured against work orders, giving supervisors and planners accurate data for costing, scheduling, and productivity analysis.
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Yes. TAG records parts and materials consumed per job and ties them to the work order history, supporting accurate cost tracking and inventory planning.
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Yes. TAG supports planning, scheduling, and assignment to technicians and teams—helping organizations optimize resource utilization and reduce scheduling conflicts.
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Yes. TAG can manage large work backlogs and coordinated work orders. Shutdown-specific methods such as work packs, constraints, and critical path management are typically configured to match your operational process.
Asset lifecycle, reliability, & risk
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Yes. TAG maintains the asset register, hierarchy, work history, and supporting documentation—giving teams a single source of truth for every asset in the organization.
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Yes. TAG supports flexible asset hierarchies and enables critical asset management through performance, cost, and risk visibility. This helps organizations focus resources on the assets that matter most.
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Yes. TAG supports capturing failure details and structured analysis through its IoT module. The depth of RCA can be configured to match your reliability methodology, and TAG supports alignment with industry standards such as ISO 55000 and SMRP KPIs.
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Yes. TAG supports warranty tracking and links warranty information to work history, helping organizations avoid unnecessary repair costs on covered assets.
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Yes. TAG provides asset condition and health information when condition inputs are available—such as inspection results, meter readings, and operational data—enabling proactive risk management.
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Yes. TAG supports reliability KPIs such as Mean Time to Repair (MTTR) and Mean Time Between Failures (MTBF) through work history, failure tracking, and reporting. These metrics help reliability teams benchmark performance and drive continuous improvement.
Inventory, purchasing, & cost control
TAG gives CFOs and operations leaders a clear view of how maintenance spend affects asset performance—turning maintenance from a cost center into a source of measurable value.
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Yes. TAG supports parts and inventory processes tied to maintenance work, helping teams maintain the right stock levels and reduce excess inventory.
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Yes. TAG ties parts usage to each work order and asset, supporting cost and consumption analysis at both the job and asset level.
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Yes. TAG supports purchasing workflows, including purchase requisitions and approvals. When used with Business Central, purchasing and maintenance are seamlessly connected.
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Yes. TAG supports cost tracking by asset, location, work type, and site using labor and parts history—giving finance and operations teams the data they need for budgeting and investment decisions.
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Yes. Organizations using TAG typically see cost reductions when they improve PM compliance, reduce emergency work, and minimize repeat failures. Actual results depend on adoption maturity and data quality.
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ROI is measured through reduced downtime, lower overtime and emergency spend, improved PM compliance, better parts control, and fewer repeat failures. These improvements are quantified against baseline KPIs established during implementation.
Mobile execution
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Yes. TAG Mobi is available on both iOS and Android with full offline capability included as standard. Every TAG Mobi license—starting at the Standard package level—includes the native iOS and Android apps with offline support at no additional cost, giving technicians a consistent experience regardless of device or connectivity.
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Yes. TAG Mobi supports full offline operation. Technicians can view work orders, record labor and parts, capture notes and photos, and complete tasks without an internet connection. All data syncs automatically when connectivity is restored, so nothing is lost in the field.
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TAG Mobi is a complete mobile EAM experience. Technicians can view assigned work, access asset details and history, record labor and parts, capture notes and photos, complete inspections and checklists, and close out work orders. Access and visibility can be customized by user profile.
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Yes. Once field data is synchronized, supervisors have visibility into work progress, completion status, and technician activity. Sync frequency can be configured to balance timeliness and bandwidth.
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Yes. TAG Mobi supports field execution across multiple sites and teams, making it suitable for organizations with distributed operations.
IoT, AI automation, & predictive/prescriptive maintenance
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Yes. TAG Mobi IoT helps organizations connect sensor, SCADA, and equipment data to maintenance workflows. Teams can monitor asset conditions, detect anomalies, reduce alert noise, and trigger work orders when action is needed.
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TAG Mobi IoT connects sensor, SCADA, and equipment data to maintenance workflows. It helps teams monitor asset conditions, detect anomalies, reduce alert noise, and trigger automatic work orders based on thresholds or predictive insights.
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Yes. TAG Mobi IoT uses sensor, SCADA, and asset condition data to detect trends, anomalies, and threshold breaches before failures occur. This helps teams plan maintenance earlier, trigger the right work orders, and reduce unexpected downtime.
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Yes. TAG Mobi IoT captures condition history and events so teams can correlate failures with asset behavior leading up to an incident—providing the evidence needed for effective root cause analysis.
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Yes. TAG Mobi IoT uses advanced algorithms, including forecasting and anomaly detection, to identify failure patterns earlier. Combined with mobiMentor AI, the system can recommend specific maintenance actions and automate standardized responses—moving teams from reactive to prescriptive operations.
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Yes. TAG Mobi IoT can trigger work orders when rules, thresholds, anomalies, or AI-driven workflows indicate that action is required. This helps teams respond faster, reduce manual follow-up, and make sure critical asset issues are addressed promptly.
Integrations, data, & security
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TAG runs inside Business Central as a native extension, aligning maintenance processes and ERP data in a single environment. This eliminates the complexity and risk of maintaining separate integrations between your EAM and ERP.
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Yes. TAG supports API-based integration for exchanging master data and transactions with other systems, including ERPs, SCADA, historians, and other operational platforms.
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Yes. TAG supports role-based access and permissions suitable for enterprise use, ensuring users only see and interact with the data and functions relevant to their role.
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Yes. TAG provides full traceability through work order history, approval records, timestamps, and attached documents—supporting regulatory compliance and internal audit requirements.
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TAG is delivered as a SaaS solution hosted on Microsoft Azure, inheriting Microsoft’s enterprise-grade security, compliance certifications, and global data center infrastructure. Data residency options are available depending on regional requirements. Because TAG runs inside Business Central, it benefits from the same security model, access controls, and data protection that apply to your Business Central environment.
Implementation, adoption, & pricing
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Implementation is supported by experienced consultants and proven tools that accelerate process design, configuration, data preparation, training, and user adoption. A typical TAG implementation follows a structured methodology and can range from a few weeks for a focused deployment to several months for a large multi-site rollout. Verosoft and its certified partner network provide training options including instructor-led sessions, on-demand learning resources, and ongoing support.
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TAG is offered in Standard, Advanced, and Enterprise packages with seat-based pricing. The package level determines the extent of AI capability available within TAG Mobi—Standard provides core EAM and mobile functionality, while Advanced and Enterprise unlock progressively deeper AI-driven insights and automation through mobiMentor AI. Seat types include Power Users (full access for planners, supervisors, and administrators), Requesters (limited access for submitting requests and viewing status), and Contractors (external user access for third-party maintenance providers). Optional modules include IoT, Advanced Resource Management, and Health & Safety. Total cost depends on the number of users, package level, and selected modules. Contact Verosoft or an authorized partner for a tailored quote.
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Implementation timelines vary based on scope and complexity. A single-site deployment with standard configuration can typically go live within 8–12 weeks. Multi-site or enterprise-wide rollouts with integrations and advanced modules may span 3–6 months or more. Your implementation partner will provide a detailed project plan during the scoping phase.