A possible pilot
Find technical knowledge in approved manuals and prepare deviation-report drafts.
AI in manufacturing · For large organisations & Enterprise
AI for industrial companies and production networks
Multiple plants, different systems and protected manufacturing knowledge call for coordinated AI use. We help industrial organisations evaluate applications in engineering, service and production and prepare a controlled pilot with IT, domain experts and operating owners.
YOUR STARTING POINT
From a plant pilot to a decision about wider use
Production leadership, engineering and IT need evidence that a solution fits real workflows. We clarify data ownership, system boundaries, acceptance and ongoing support. A pilot should show under which conditions value emerges and what is still needed before more plants connect.
POSSIBLE APPLICATIONS
Where AI could support your team
Provide technical knowledge across plants
Make approved manuals, work instructions and service knowledge available with sources and versions. Account for roles, product variants and site-specific rules before organisation-wide use.
Prepare engineering and planning documents
Structure requirements from extensive technical documents for defined review steps. Traceable references and human approvals are central; the model does not independently decide technical suitability or production release.
Assess data-driven quality or maintenance pilots
Check whether image, sensor or incident data suits one bounded process. Evaluate false alarms, missed defects and operating conditions against a baseline. A successful trial does not itself approve intervention in equipment.
FROM IDEA TO DECISION
Define the pilot, approval and operation
A useful pilot produces a decision brief: assessed data sources, quality criteria, ownership and an estimate of ongoing effort. Its scope and deliverables are agreed before implementation.
Your existing environment — to be assessed:ERP / production planning and MESPLM / document managementAvailable image and sensor dataIT and OT access boundaries
Select a representative pilot
Choose a workflow with its domain owner. Agree source access, typical cases, exceptions and a comparison with the current process.
Agree acceptance criteria
Assess output quality, traceability, errors, review effort and costs. Define who approves wider use and which findings would stop it.
Assign operational ownership
Plan maintenance, support, permissions and changes. Check differences between teams or sites before extending use.
The Right Fit for Your Company
Training empowers your team to use AI independently in their daily work. Our consulting, on the other hand, guides you strategically from potential analysis to company-wide integration.
Training for Enterprise teams
Enable engineering, service, production and leadership by role, with source checking, professional approvals and defined boundaries around equipment control.
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Enterprise AI consulting
Prioritise applications, assess data and system prerequisites, and plan a pilot with acceptance criteria, operating responsibilities and a decision on wider use.
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Not entirely sure yet?
Simply contact us for a no-obligation initial consultation.
Free initial consultationIndustry FAQ
Answers to Key Questions
01How are IT, OT and protected design knowledge separated?
- Agree data flows, access and necessary boundaries with your owners. Hosting and operating choices follow assessed requirements. Access to machinery or controls is not treated as a prerequisite for a knowledge or document pilot.
02When is the next step after a plant pilot justified?
- After quality, error cases, checking effort and costs have been assessed against agreed criteria. Data maintenance, support and change ownership must also be assigned. Check plant differences before wider use rather than assume transferability.
03What determines the cost?
- Scope, data access, integration, evaluation and operating requirements determine the effort. The proposal should distinguish pilot work from licences, usage charges and ongoing support. The investment decision follows an agreed scope, not a generic savings promise.
04Who should be involved in the first discussion?
- Include the process owner and a business decision-maker. Where data access or integration is relevant, involve IT and the responsible security or data protection owners. Together we identify who can approve the pilot and maintain the result.
05What happens in the initial consultation?
- We discuss the process, organisational scope, available systems and decision-makers. The next step could be a focused assessment, a scoped pilot or role-based training. Timing, deliverables and responsibilities are agreed for the specific assignment.
AI in manufacturing
Turn an idea into a reviewable next step
A useful starting point is a specific task. These points help you assess value, effort and prerequisites for your project.
Adoption in a large enterprise
Separate plants, equipment versions and permissions. IT, production and quality owners scope a pilot before adding sites.
Inputs we need
Valid manuals, version records and sample reports for one area. Superseded instructions must remain distinguishable.
How to evaluate value
Test search time, source accuracy, corrections and correctly identified knowledge gaps on typical tasks.
What still needs professional review
A knowledge assistant does not control machinery. Safety functions, quality releases and plant interventions need separate assessment.
What determines the effort
Data preparation, the number of systems, exception handling and professional review affect the effort. The proposal defines deliverables, acceptance, ownership and recurring costs. A more extensive solution is worthwhile only when the additional value justifies it.
Discuss a suitable starting point
We discuss your task and clarify which service fits.
Prepare your next AI decision
Discuss a concrete use case with us, including its domain owners, system boundaries and success criteria.
Request a free initial consultation