Clear answers for yournext operational step.

Industrial Intelligence is the result of connecting the real operation with relevant, trusted information. Aivhy combines industrial process knowledge with process-first digitalisation, bringing together consultancy, hardware and software integration, IT/OT, data and industrial AI. The aim is one digital ecosystem around the way your operation actually works, so people can see what is happening, make clearer decisions and take practical action.

Aivhy helps reduce manual work, waiting time and disconnected handovers. The aim is clearer control, better traceability, faster decisions and more capacity from the people and equipment already in place.

We help across production, planning, engineering, quality, maintenance, warehousing and logistics. We also improve the handovers between these areas when information still moves through paper, spreadsheets, calls or emails.

No. Aivhy combines operational consultancy, solution design, integration, implementation, training and support. OpenIIoT develops the software products used within Aivhy’s solutions.

Aivhy and OpenIIoT are sister companies with complementary roles. OpenIIoT develops all software products used within Aivhy’s solutions, including Aivhy’s BOS. Aivhy works directly with customers to understand the operation, design the solution and integrate it with their existing machines, systems and workflows.

Aivhy uses a modular foundation and shapes the solution around the way your operation works. We keep what already works and add only the missing connections, workflows or functionality.

A good first use case solves a clear operational problem with visible value. It can start with one machine, workflow, asset, line or department and create a practical foundation for later improvement.

Yes. Aivhy can start with one important operational problem and help define the next steps. A complete roadmap can be built as the operation, priorities and value become clearer.

Usually a process owner, the people who use the process and the relevant IT, OT or engineering contacts. The customer remains involved in decisions that affect its operation.

Yes. Reliable operational data and clear workflows support practical continuous improvement. Aivhy can provide the information needed for Gemba walks, root-cause analysis, Lean, Six Sigma and daily management.

Yes. A focused proof of concept can confirm technical feasibility and operational value before a wider rollout. It should solve a real problem, not remain an isolated technical test.

Aivhy works in focused, manageable steps rather than a big-bang replacement. Activities can be planned around production schedules, maintenance windows and operational priorities.

We first understand the process, the problem, the people involved and the expected result. We then agree a focused scope, required access, responsibilities and a practical implementation plan.

Yes. Many projects begin with one process, machine, line, department or site. The solution can then expand when the first use case has demonstrated value.

The people who use the process are involved early. Aivhy keeps workflows practical, tests them with users and provides training and clear ownership before go-live.

Yes, where the scope requires work on the shop floor. We plan access, testing and changeover activities with the customer to limit impact on production and safety.

Aivhy supports the agreed handover, training and ongoing improvement. The solution can be monitored, extended or adjusted as the operation and its priorities change.

Yes. Aivhy’s approach is designed to start focused and scale step by step. Expansion is based on the process, local requirements and the value of the next use case.

No. Aivhy starts with the machines, systems and technology already used within your operation. Many companies already have an ERP, MES, WMS or planning system, but only use part of its available functionality. Important activities may still be managed through spreadsheets, paper, emails, phone calls or manual data entry. In these situations, the customer has a choice. An additional standalone module can be purchased from the existing software supplier, when a suitable module is available. Alternatively, Aivhy can add the missing workflow, integration or functionality to the digital ecosystem and connect it with the existing system. In many cases, this can be a more flexible and cost-efficient option. We assess the available options together with the customer. The decision is based on functionality, integration possibilities, costs, scalability and the value it adds to the operation. Aivhy’s open and vendor-independent approach allows existing technology to remain in place while missing digital connections are added. Customers maintain independent access to and control over their operational data, without becoming dependent on one system or supplier.

Aivhy’s Central Data Hub gives connected machines, systems and workflows one controlled foundation for authorised real-time information. Instead of creating a growing web of separate system-to-system connections, relevant information can be structured once and shared where it is needed in the agreed workflow, dashboard, alert, ERP system or AI application.

A Unified Namespace, or UNS, gives operational information a consistent structure across machines, processes, systems and sites. It helps people and connected applications understand what information relates to, such as an asset, production line, order or warehouse area. This makes data easier to find, reuse and expand over time, while keeping a clear traceable context.

Aivhy can connect with ERP systems through suitable available interfaces, databases or approved integration methods. The exact approach depends on the system, access, data and process requirements.

Yes. Aivhy can connect existing operational and enterprise systems when suitable access and integration methods are available. The goal is to remove gaps between systems, people and the real process.

Yes. Aivhy works with modern and legacy equipment where a suitable connection or signal source is available. The required data, operational risk and technical options are assessed per machine or line.

Yes. Machine status, output, downtime, quality or other agreed information can support the relevant ERP, MES or planning workflow when the use case and access are clear.

ERP, MES and WMS each manage a defined part of the business. Aivhy’s BOS connects these systems with machines, people and workflows, and adds what is missing between them.

Yes, when they are still needed temporarily. Aivhy can replace them step by step with controlled workflows and shared information, rather than forcing an abrupt change.

Yes. Aivhy is vendor independent and can work across different systems, equipment brands and generations. Each connection is assessed against the available interface and operational requirements.

Not necessarily. Aivhy can work with cloud, on-premises or hybrid environments where technically appropriate. The approach is agreed with the customer’s IT, OT and security requirements.

No. Aivhy is intended to connect the systems and workflows already in place. The solution adds a shared operational foundation instead of creating a new information silo.

Cybersecurity is considered from the start with the customer’s IT, OT and security teams. Controls can include restricted access, encrypted communication, approved network separation and audit-ready records where required.

The customer keeps access to and control over its operational data. Aivhy’s vendor-independent approach is designed to avoid locking important information inside one application or supplier.

Yes. Access can be aligned with agreed roles and responsibilities, so users see and act on the information relevant to their work.

Yes, where the use case supports it. Many first use cases begin with read-only data collection so teams can gain visibility without changing machine control.

It can, where that is technically appropriate and agreed. Aivhy can also work with cloud or hybrid deployments, depending on security, operational and infrastructure requirements.

No. Access is defined around the agreed use case. Aivhy works with the customer to identify only the systems, data and permissions needed for the solution.

Yes, where this is part of the agreed scope. Digital workflows and records can provide traceable information about actions, approvals, process events and decisions.

Yes. Aivhy agrees responsibilities, documentation, access and support arrangements with the customer. The aim is an environment that internal teams can understand and manage.

It means replacing manual gaps in a real workflow with connected information, clear ownership and timely action. This may involve data capture, approvals, tasks, alerts, records or reporting.

Yes. Aivhy can turn paper forms, spreadsheets and repeated administration into practical digital workflows with structured records, tasks and approvals.

Yes. Materials, products, orders, quality checks, maintenance activity and decisions can be connected across the agreed process to create a clearer traceable record.

Yes. Aivhy can support asset and position tracking when knowing location, status, ownership or next movement will improve control and reduce searching.

Yes. When an agreed event occurs, the relevant person or team can be informed with the context needed to act. The workflow and escalation path are designed around the operation.

Yes. Aivhy can support digital inspection workflows, evidence capture, approvals and traceable quality records. Vision-based inspection can also be assessed where it fits the process.

Aivhy’s BAS supports business administration and connected operational workflows. It can help reduce manual work between departments while keeping information linked to the real process.

Industrial Integration connects machines, equipment and operational data with existing systems and workflows. It makes the right information available where it is needed without forcing a full technology replacement.

AI is useful where it solves a defined operational problem. It can support inspection, document processing, finding technical information, analysing operational issues and repetitive classification work.

Yes. Vision technology and AI can be assessed for tasks such as defect detection, label reading, inspection evidence or product identification where the process and image quality support it.

Yes. Industrial language models can help users find approved technical information, understand maintenance history or work with operational documentation within controlled access and workflows.

Not by default. AI can support people with information or recommendations, while important operational decisions remain subject to the agreed human review and approval process.

Yes, subject to the agreed architecture, access controls and deployment requirements. Aivhy works with the customer to define which data is appropriate for each AI use case.

In many cases, yes. Aivhy can assess existing cameras and image quality before recommending whether they are suitable for the required inspection, tracking or evidence use case.

No. AI is one possible capability, not the starting point. Aivhy first looks at the operational problem and chooses the simplest practical approach that creates value.

Yes. A connected process and reliable operational data can create a stronger basis for future AI use cases. AI can be added when there is a clear problem and a suitable data foundation.