Analyse and detect
Find patterns, prioritise deviations and combine signals that are difficult to assess manually.
Industrial AI for Operations
AI that supportsreal operational decisions.
Apply AI where it helps people understand a situation, prioritise the next step or complete a defined task. Keep decisions grounded in controlled operational data, clear limits and human responsibility.
AI needs operational context
General AI does not understand your operation by default.
A generic AI tool may not know which order is running, whether a machine is in a planned stop, what data is current or who is authorised to see it. Without this context, an answer can be incomplete, misleading or used by the wrong person.
Aivhy starts with the task, the process owner and the information needed for a sound decision. AI is then connected to the right operational context, not left to work from disconnected data.
Three practical forms
Use AI and LLMs where they create a clearer next step.
AI is not a standalone experiment. Aivhy can integrate approved language models within a controlled workflow, alongside AI for analysis and vision, when they support a specific operational task.
See and verify
Use vision where a visual inspection, identity check or quality decision needs more consistency.
Ask and support
Connect approved LLMs with authorised operational information, so people can find relevant instructions, records or context for a defined task.
From question to controlled action
AI can advise. The process decides what happens next.
For each use case, Aivhy defines the information AI may use, the result it can provide and whether a person must approve the next action. Where different systems are involved, the Central Data Hub provides the authorised operational context. Routine, pre-approved actions can be kept within clear boundaries.
Operational question
A deviation, task or decision needs support.
Controlled context
Relevant current and authorised data is prepared.
AI support
Analyse, summarise, detect or recommend.
Decide and act
Human approval or a pre-approved workflow action.
Examples in daily operations
Support people with the information that matters now.
Depending on the process and available data, AI can help prioritise deviations, summarise maintenance or quality information, guide an operator to the relevant instruction, or combine signals from different sources before a review.
When vision detects a defined issue, the result can also be passed to the right workflow for review, hold, rework or follow-up.
- Deviation prioritisation
- Maintenance support
- Quality follow-up
- Operator guidance
- Process summaries
- Vision-led workflow
Control is part of the design
Make AI useful without losing accountability.
Aivhy designs AI use cases around the operational and security requirements of the company, rather than asking people to trust an uncontrolled tool.
Authorised access
People and systems only use the information and functions appropriate to their role.
Validated inputs
Relevant process data is checked and given context before it informs an AI-supported result.
Clear approval steps
Where judgement is needed, the result is routed to a person with the right responsibility.
Traceable use
Important inputs, recommendations and decisions can be recorded within the workflow.
Deployment around your requirements
Choose the right place for your data and AI.
AI can be deployed in the cloud, on premises or in a hybrid setup. The suitable approach depends on the operational task, data requirements, security needs and the environment in which it will be used.
Find the AI use case that is worth solving
Discuss the decision, deviation or workflow where current information is difficult to use in time.