Artificial Intelligence Solutions and Digital Productivity

Scope and working area

Artificial intelligence tools can support content preparation, information access, summarize and reporting works when used with accurate data, task definition and human control. The purpose is to determine not to add automation to each task, providing real benefit and measurable uses.

Application scenarios are shaped by the need analysis in areas such as commercial information research, drafting of customer correspondence, document classification, multi-lingual content preparation and in-house information access.

The use of artificial intelligence is launched from the actual business needs of the enterprise. The risk that proper tasks and faulty results can be determined and controlled usage scenarios such as text, document, classification, research or reporting can be designed.

The sensitivity of the data used is assessed by the responsibility of transfer, user authorization and output verification to third-party services. Human review and resource control should be planned as mandatory steps in areas where the error cost is high, such as finance and foreign trade.

Time saving in pilot scenarios, error rate, consistency and user acceptance are reported by measuring results. Sustainable use guidelines are created for the design, knowledge base, access policy and team training when necessary.

10 working subjects

• Work-based artificial intelligence scenarios
• Welding and accuracy control procedures Home
• Document summary and draft content flows
• Corporate knowledge base and search fiction
• Hidden data sharing risk analysis Home
• Human approved decision and output audit Home
• Multilingual content and correspondence support
• Pilot performance and error measurement criteria Home
• Personnel usage policy and training plan
• Model output quality and process improvement tracking